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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Murex is a global fintech leader in trading, risk management and processing solutions for capital markets.</span></p><br><p><span>Operating from our 19 offices, 3 400 Murexians from over 65 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world.&nbsp;</span></p><br><p><span>Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment. You’ll be part of one global team where you can learn fast and stay true to yourself.</span></p><br><p><b>Context &amp; Team </b></p><br><p>You will join the  <b>Client Services EMEA – Operations domain</b>, a team dedicated to supporting and advising our European clients in their use of the Murex platform.&nbsp;</p><br><p>Our mission is to:&nbsp;</p><br><ul><li>Ensure the smooth operation and evolution of the platform for <b>Back Office</b> <b>users (Collateral, Settlements, Regulatory Reports, Life Cycle, </b><b>…</b><b>)</b>&nbsp;</li></ul><ul><li>Provide expert support across <b>incident resolution, configuration, and implementation.</b>&nbsp;</li></ul><ul><li>Collaborate with internal teams to deliver <b>innovative solutions</b> in a fast-paced and demanding environment.&nbsp;</li></ul><ul><li>Foster strong client relationships through <b>training, governance, and strategic advisory</b>.&nbsp;</li></ul><p>You’ll work with&nbsp;<b>a</b> <b>diverse and multicultural client base across Europe,</b>&nbsp;with opportunities for <b>travel and direct client engagement.</b>&nbsp;</p><br><p><b>Your missions </b></p><br><ul><li>Support clients in using and configuring the Murex platform, ensuring timely resolution of incidents.&nbsp;</li></ul><ul><li>Collaborate with internal product and development teams to deliver fixes and new features.&nbsp;</li></ul><ul><li>Participate in <b>projects of modernization, migration, and module implementation</b>, including design, configuration, and validation.&nbsp;</li></ul><ul><li>Deliver <b>training sessions</b> (internal and external) and contribute to continuous documentation improvement.&nbsp;</li></ul><ul><li>Act as a <b>trusted advisor</b>: present platform evolutions, report activities, and contribute to client governance strategies.&nbsp;</li></ul><ul><li>Embrace innovation and creativity to meet the evolving needs of capital markets.&nbsp;</li></ul><p><b>Your profile </b></p><br><ul><li>Master’s degree from a top‑tier engineering school or university, with a strong focus on financial markets and/or applied mathematics.</li><li>Strong interest in IT and software development; knowledge of Unix environments, SQL, and Oracle/Sybase is considered an asset.</li><li>Excellent analytical abilities combined with a structured problem‑solving approach.</li><li>Client‑oriented mindset, with strong interpersonal and communication skills.</li><li>Ability to thrive in a collaborative, multicultural, and international environment.</li><li>Fluency in English and willingness to travel across Europe</li></ul> </div>

<p><strong>What This Role Is (and Isn't)</strong> <br>This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit. Responsibilities </p><ul> <li> <strong>Data-led discovery:</strong> Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog.</li> <li> <strong>Problem framing:</strong> Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do.</li> <li> <strong>Metrics and success criteria:</strong> Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it.</li> <li> <strong>Experimentation and causal inference:</strong> Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible.</li> <li> <strong>ML product lifecycle:</strong> Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended.</li> <li> <strong>Roadmap and trade-offs:</strong> Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services.</li> <li> <strong>Stakeholder alignment and visibility:</strong> Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives.</li> <li> <strong>Leadership and culture:</strong> Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you.</li> </ul><br><p></p><p><strong>Desired Candidate Profile</strong></p><ul> <li>4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations).</li> <li>Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it.</li> <li>Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference.</li> <li>Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance.</li> <li>A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong.</li> <li>Experience working with distributed or remote teams across multiple markets.</li> <li>Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus.</li> <li>BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.</li> </ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>As the world works and lives faster, FIS is leading the way.&nbsp; Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we’d like to ask you: <i>Are you FIS?</i></p><br><p><b>About the role:</b></p><br><p>As a Senior Production Support Analyst working the US shift, you’ll be working with global clients to:</p><br><ul><li>Support FIS Credit Risk Manager, FIS Risk Analytics Manager, and FIS Enterprise Risk Hub applications</li><li>Install application release updates for these applications</li><li>Lead SRE projects for the applications</li><li>Support the platform’s migration from an FIS-hosted environment to AWS</li><li>Provide production support during North American business hours</li></ul><p><b>About the team:&nbsp;&nbsp; <br></b>Be a part of a team of analysts who</p><br><ul><li>Support the production systems of major financial institutions</li><li>Manage changes to those systems</li><li>Ensure compliance with policy and standards</li></ul><p><b>What you will be doing:</b></p><br><p>As a Senior Production Support Analyst, you will play a crucial role in supporting live software systems for multiple clients. This role provides an opportunity to build and maintain daily connections with key internal stakeholders, including the Client Experience and Professional Services teams.</p><br><p>Responsibilities include:</p><br><ul><li>Ownership of processes and data structures</li><li>Issue investigation and resolution</li><li>Basic Microsoft Windows administration</li><li>Basic SQL Server administration</li><li>General troubleshooting</li><li>Supporting and troubleshooting applications hosted in AWS</li><li>Applying AWS expertise to support the migration from an FIS-hosted environment to AWS</li><li>Supporting the hosting, monitoring, and ongoing stability of AWS-based applications</li><li>Leading incident investigations, root-cause analysis, and resolution of complex production issues</li><li>Working the US shift to provide consistent support to North American clients and business operations</li></ul><p><b>What you will need:</b></p><br><ul><li>Technical proficiency, including knowledge of operating systems such as Windows, databases, networking fundamentals, and troubleshooting methodologies</li><li>Strong, hands-on AWS experience, ideally at an advanced or near-expert level</li><li>Experience supporting, hosting, monitoring, and troubleshooting AWS applications in a production environment</li><li>The ability to analyze complex technical issues, identify root causes, and develop effective solutions</li><li>A logical and methodical approach to problem-solving</li><li>Effective communication skills for interacting with technical and non-technical stakeholders</li><li>The ability to articulate technical concepts clearly and concisely, both verbally and in writing</li><li>Significant prior experience in production support, customer service, or technical support roles</li><li>The ability to lead complex incident resolution and coordinate with multiple stakeholders</li><li>Adaptability and willingness to learn new technologies and tools as needed</li><li>The ability to work the US shift on a regular basis</li></ul><br><p><b>Added bonus if you have:</b></p><br><ul><li>Prior experience supporting the FIS Credit Risk Manager application</li></ul><p><b>What we offer you:<br></b>At FIS, you can learn, grow and make an impact in your career. Our benefits include:&nbsp;&nbsp;</p><br><ul><li>Flexible and creative work environment&nbsp;</li><li>Diverse and collaborative atmosphere&nbsp;&nbsp;</li><li>Professional and personal development resources&nbsp;</li><li>Opportunities to volunteer and support charities&nbsp;</li><li>Competitive salary and benefits</li></ul><br><p><span><b>#LI-RB1</b> <b>#LI-Hybrid</b></span></p><br><p><b>Privacy Statement</b></p><br><p>FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.</p><br><p><b>Sourcing Model</b></p><br><p>Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.</p><br><p>#pridepass</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Venari Security is looking for a senior platform-minded integration engineer, architect, or independent consultant who can take ownership of complex integration capabilities from specification through design, build, validation, and delivery.</p><br> <p>This is not a narrow coding assignment. You will define and deliver production-grade integrations that connect Venari’s Adaptive Cryptographic Intelligence Platform with leading cloud providers, cybersecurity platforms, enterprise systems, and SaaS solutions. The ideal candidate can understand an existing platform architecture, identify the right extension points, specify the subsystem to be built, and deliver it autonomously with the right security, reliability, and operational foundations.</p><br> <p>You will work at the intersection of platform engineering, cloud architecture, API design, and integration security, helping Venari build a scalable integration layer for AWS, Azure, major cybersecurity ecosystems, and high-value SaaS environments.</p><br> <p><span>Mission and Scope of Work</span></p><br> <ul> <li>Own the end-to-end delivery of integration subsystems: clarify requirements, write technical specifications, design the architecture, build the services, validate behavior, and prepare production release.</li> <li>Design scalable integration patterns for major cloud providers, especially AWS and Azure, including secure access, discovery, data ingestion, event handling, and operational monitoring.</li> <li>Build robust APIs, connectors, webhooks, and integration services for cloud platforms, cybersecurity tools, CMDBs, SIEMs, vulnerability management platforms, identity providers, and enterprise SaaS solutions.</li> <li>Implement secure authentication, authorization, and secret-management flows using standards such as OAuth2, OpenID Connect, SSO, RBAC, API keys, signed requests, and cloud-native identity mechanisms.</li> <li>Understand Venari’s platform architecture and build on top of it without creating isolated, hard-to-maintain components.</li> <li>Deliver integration configuration workflows and UI components that make setup, testing, monitoring, and troubleshooting simple for users.</li> <li>Build for production from the start: observability, retries, rate-limit handling, caching, error handling, auditability, automated tests, documentation, and deployment readiness.</li> </ul> <p><span>What You Will Deliver</span></p><br> <ul> <li>Clear technical specifications for each integration subsystem, including architecture, data flows, security model, edge cases, and delivery plan.</li> <li>Production-ready backend services, APIs, connectors, and integration components aligned with Venari’s platform architecture.</li> <li>Secure cloud and SaaS integration capabilities for AWS, Azure, and selected enterprise platforms.</li> <li>Authentication and authorization modules covering OAuth2, OpenID Connect, SSO, RBAC, token lifecycle, and secure credential handling.</li> <li>Configuration screens, validation workflows, and operational views that allow users to configure, test, and monitor integrations.</li> <li>Automated tests, CI/CD readiness, logging, metrics, deployment notes, and technical documentation that allow the core team to maintain and extend the work.</li> </ul> <p><span>What We Are Looking For</span></p><br> <ul> <li>A senior engineer, architect, or technical consultant with more than 10 years of experience delivering enterprise software solutions at scale, with proven ability to specify, build, and deliver systems or subsystems autonomously, not only implement assigned tickets.</li> <li>Strong ability to understand an existing SaaS platform architecture, identify reusable platform capabilities, and build extensions that are coherent, maintainable, and scalable.</li> <li>Hands-on experience with cloud integrations on AWS and Azure, including IAM, service APIs, event services, networking constraints, credentials, permissions, and security boundaries.</li> <li>Strong API engineering background, including REST APIs, webhooks, asynchronous integration patterns, API gateways, rate limiting, pagination, retries, versioning, and backward compatibility.</li> <li>Deep understanding of integration security: OAuth2, OpenID Connect, SSO, RBAC, least privilege, token handling, secrets management, encryption in transit, audit logging, and secure error handling.</li> <li>Strong backend engineering experience, ideally with Spring Boot, microservices, containers, automated testing, and production-grade observability.</li> <li>Ability to communicate architecture decisions clearly, write practical technical documentation, and collaborate with product, frontend, backend, infrastructure, and security stakeholders.</li> </ul> <p><span>Experience That Will Stand Out</span></p><br> <ul> <li>Delivered integrations with AWS services, Azure services, identity providers, security tools, observability platforms, CMDBs, SIEMs, vulnerability management tools, or enterprise SaaS products.</li> <li>Built integration platforms, connector frameworks, developer-facing APIs, or extensibility layers used by multiple customers or product teams.</li> <li>Experience with event-driven architectures, queues, streaming, scheduling, sync engines, data pipelines, Kafka, CrateDB, PostgreSQL, or similar technologies.</li> <li>Hands-on experience with Docker, Kubernetes, Terraform, Helm, cloud-native deployment models, and CI/CD automation.</li> <li>Strong product sense: able to translate an integration use case into a reliable user workflow, not only a technical connector.</li> </ul> <p><span>Why This Is Interesting</span></p><br> <ul> <li>You will help shape the integration layer of a platform focused on cryptographic discovery, crypto agility, and the security challenges created by modern encrypted infrastructure.</li> <li>You will build integrations at scale with the platforms that matter most to enterprise customers: cloud providers, cybersecurity ecosystems, identity platforms, and SaaS solutions.</li> <li>You will have real ownership: define the right approach, make architecture decisions, deliver working subsystems, and leave behind a foundation the product team can extend.</li> <li>You will work on a technically meaningful problem where cloud security, API design, platform architecture, and product usability meet.</li> </ul> <p><span>Engagement Details</span></p><br> <ul> <li>Contract Type: Project-based (Independent Consultant / Contractor)</li> <li>Duration: Initial 3-month engagement, with extension subject to review of progress and delivery quality.</li> <li>Location: Hybrid</li> <li>Start Date: ASAP</li> </ul> <p><span>About Venari Security</span></p><br> <p>Venari Security provides organisations with advanced visibility into their encrypted attack surface, ensuring regulatory compliance and privacy adherence through our cryptographic discovery tool. Our focus is on crypto agility which helps you assess both external and internal cryptographic risks, preparing your business now and for the quantum future.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Consultant(e) Solutions Junior - Projets &amp; Relation Client TBML <p>Le/la Consultant(e) Solutions Junior intervient à l'interface entre nos clients internationaux et nos équipes Produit, R&amp;D, QA et techniques. Il/elle participe au cadrage des projets TBML, à la formalisation des besoins, au suivi de leur réalisation et à l'accompagnement des utilisateurs. Le poste combine compréhension fonctionnelle, gestion de projet et relation client, en français comme en anglais.</p><br> <p><strong><br>À propos de Vneuron et de Reis RCS</strong></p><br> <p><strong>Vneuron</strong> est une entreprise RegTech de premier plan, spécialisée dans la transformation de la conformité en matière de lutte contre la criminalité financière. Sa solution avancée, <strong>Reis RCS</strong>, optimise la gestion des risques, le filtrage AML et sanctions, et assure la conformité grâce à une supervision en temps réel, une détection des risques par IA et une gestion intégrée des dossiers.</p><br> <p>En 2025, Vneuron a été reconnue parmi les <strong>Top Innovators du FinCrimeTech50</strong>, a remporté le prix de la <strong>Meilleure solution de Compliance as a Service</strong> aux <strong>RegTech Insight Awards Europe</strong>, et figure dans l'<strong>AIFinTech100 2025</strong>. Elle est également distinguée pour la quatrième année consécutive dans le <strong>RegTech100</strong>.</p><br> <p>Chez Vneuron, nous construisons l'avenir de la conformité financière.</p><br> <p><strong>Notre culture et nos valeurs</strong></p><br> <p>Chez Vneuron, le développement de notre équipe est au cœur de nos priorités. Nous offrons un <strong>environnement de travail agréable et confortable</strong>, au sein d'une organisation <strong>collaborative</strong> et à structure <strong>plate</strong>, avec un management accessible et impliqué.</p><br> <p>Nous sommes portés par une équipe <strong>jeune</strong>, passionnée et engagée, où règnent le respect et l'esprit de partage. Vous évoluerez aux côtés d'<strong>experts chevronnés</strong> qui vous accompagneront dans le développement de votre carrière, tant sur le plan technique que personnel.</p><br> <p>Notre ambition est de diffuser nos technologies innovantes à l'échelle mondiale pour contribuer à un impact positif durable.</p><br> <p>Parce que nous croyons que chaque personne est unique et précieuse, nous valorisons l'<strong>écoute active de vos idées et propositions</strong>. Vous jouerez un rôle essentiel dans la réalisation de nos prochaines étapes stratégiques.</p><br> <p><strong><br>Missions principales</strong></p><br> <p><em>Compréhension et spécification des besoins</em></p><br> <ul><li>Participer aux ateliers de cadrage avec les clients afin de comprendre leurs processus, leurs données et leurs attentes</li><li>Recueillir, analyser et reformuler les besoins fonctionnels et techniques</li><li>Rédiger des spécifications fonctionnelles claires et structurées</li><li><p>Décrire les règles métier, scénarios de détection, écrans, workflows, rapports et besoins d'intégration</p><br></li><li>Préparer des user stories, critères d'acceptation, jeux de données et cas de test</li><li><span>Identifier les éventuelles ambiguïtés, incohérences ou dépendances dans les demandes exprimées</span></li><li>Faire le lien entre les besoins du client et les fonctionnalités disponibles dans la solution TBML</li><li>Proposer, lorsque cela est pertinent, des solutions basées sur les fonctionnalités existantes plutôt que des développements spécifiques</li></ul> <p><em>Gestion et suivi des projets</em></p><br> <ul><li>Participer à la préparation des plannings, jalons et priorités du projet</li><li><p>Organiser et suivre les différentes actions nécessaires à la mise en œuvre de la solution</p><br></li><li>Coordonner les échanges entre les clients et les équipes internes</li><li>Suivre l'avancement des configurations, intégrations, développements, tests et déploiements</li><li>Identifier les risques, dépendances et points bloquants, puis assurer leur suivi jusqu'à résolution</li><li>Préparer les réunions de projet, rédiger les comptes rendus et suivre les plans d'action</li><li>Maintenir une visibilité claire sur les décisions prises, les responsabilités et les prochaines étapes</li><li>Participer aux phases de recette, de mise en production et de démarrage de la solution</li></ul> <p><em>Relation et accompagnement client</em></p><br> <ul><li>Être un point de contact régulier pour le client tout au long du projet<br>Animer ou participer aux ateliers, réunions de suivi, démonstrations et sessions de recette</li><li>Communiquer clairement sur l'avancement, les décisions, les difficultés et les prochaines étapes</li><li>Savoir expliquer simplement des sujets fonctionnels ou techniques à des interlocuteurs variés</li><li>Accompagner les utilisateurs dans la prise en main de la solution TBML</li><li>Participer à la préparation des supports de formation et à l'animation des sessions</li><li>Recueillir les retours des utilisateurs et les transmettre de manière structurée aux équipes Produit et R&amp;D</li><li>Contribuer à construire une relation de confiance durable avec les clients</li></ul> <p><strong>Profil &amp; compétences</strong></p><br> <ul><li>Diplôme d'ingénieur, master en systèmes d'information, informatique, finance, gestion de projet ou domaine équivalent</li><li>Première expérience, stage ou projet significatif en business analysis, gestion de projet, consulting, intégration ou mise en œuvre d'une solution logicielle</li><li>Capacité à comprendre des processus métier complexes et à les traduire en exigences claires</li><li>Excellentes capacités de rédaction, de synthèse et d'organisation</li><li><p>Intérêt pour les produits logiciels, les données et les problématiques de conformité</p><br></li><li>Aisance avec les outils de gestion de projet, de documentation et de suivi des demandes</li><li>Aisance avérée avec les outils d'IA générative et capacité à formuler des consignes précises pour obtenir un résultat directement exploitable</li><li>Esprit critique face aux productions de l'IA</li><li>Des connaissances en SQL, API, formats de données ou applications web sont appréciées</li><li>Très bon niveau de français et d'anglais, à l'écrit comme à l'oral</li><li>Aisance relationnelle et capacité à échanger directement avec des clients internationaux</li><li>Capacité à écouter, reformuler, poser les bonnes questions et gérer des attentes parfois contradictoires</li><li>Autonomie, rigueur, esprit d'analyse et sens des responsabilités</li><li><p>Capacité à gérer plusieurs sujets en parallèle et à s'adapter rapidement</p><br></li></ul> <p><strong><br>Ce que nous recherchons</strong></p><br> <p>Nous recherchons avant tout une personne <strong>polyvalente</strong>, capable de comprendre un besoin, de le formaliser clairement, de coordonner sa mise en œuvre et d'accompagner le client jusqu'à l'utilisation effective de la solution.</p><br> <p>Le poste nécessite un bon équilibre entre <strong>rigueur et relationnel</strong> : savoir structurer un projet et ses spécificités, tout en maintenant une communication claire, professionnelle et constructive avec les clients et les équipes internes.</p><br> <p>Une connaissance de l'<strong>AML</strong>, du <strong>Trade Finance</strong> ou du <strong>TBML</strong> est un plus, mais n'est pas obligatoire. Une formation fonctionnelle et technique à la solution sera assurée.</p><br> <p><strong><br>Avantages</strong></p><br> <ul><li>L'opportunité d'évoluer dans des environnements stimulants et de contribuer à un impact positif à l'échelle mondiale.</li><li>Perspectives de développement de carrière.</li><li>Avantages santé et bien-être pour vous et votre famille.</li><li>Un environnement de travail agréable et évolutif, favorisant l'épanouissement personnel et professionnel.</li><li>Des conditions optimales pour vous permettre de vous concentrer sur ce que vous aimez faire.</li><li>Une équipe soudée, fondée sur le respect, le partage et la passion du métier.</li><li>Une politique d'égalité des chances, sans distinction de genre, de religion ou de culture.</li></ul> <p><strong>Prochaine étape</strong></p><br> <p>Si vous avez l'ambition de dynamiser votre carrière à travers de nouveaux défis, tout en valorisant votre potentiel et votre soif permanente d'apprentissage, ce poste est fait pour vous.</p><br> <p><strong>Postulez dès maintenant</strong> et devenez le prochain <strong>Spark</strong> !</p><br> <p>Suivez-nous sur LinkedIn pour en savoir plus sur l'équipe Spark et nos solutions Spark.</p><br> <p>Nous serons ravis de vous rencontrer et de vous fournir davantage d'informations.</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Who we are <p>Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.</p><br><br> Job Description <p><strong>THE JOURNEY<br> <br> Be a part of a team where you will:</strong></p><br><br><ul><li><p>Have an Important role in defining Glovo’s local Marketing strategy, adapting the global playbook to local needs.&nbsp;</p><br><br></li><li><p>Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our consumer products, identify growth opportunities, and execute projects to drive growth and engagement</p><br><br></li><li><p>Understand local media landscape and define the right mix of digital/non-digital investment to maximize user base growth within the agreed CAC (Cost of Acquisition) targets.</p><br><br></li><li><p>Track the Market dynamics and competitor activities.</p><br><br></li><li><p>Lead local Marketing activations (offline and online) in coordination with Commercial/other involved teams</p><br><br></li><li><p>Own the tracking and expenditure of the Marketing budget for the country.&nbsp;</p><br><br></li><li><p>Track and monitor key Growth metrics providing the appropriate visibility to stakeholders.&nbsp;</p><br><br></li><li><p>Lead the ideation and execution of product changes that drive growth, partnering with Partner Operations, Operations, Finance, Content and Sales.</p><br><br></li><li><p>Establish shared vision across the company for growth product optimizations by building consensus on priorities leading to major product improvements.</p><br><br></li><li><p>Communicate and simplify concepts to the audience's needs</p><br><br></li></ul> Qualifications <p><strong>WHAT YOU WILL BRING TO THE RIDE</strong></p><br><br><ul><li>Bachelor's degree in Business, Math, Engineering, Stats or Quantitative field</li><li><p>3-4 years of experience in a leading FMCG company or in the E-commerce sector performing in a role of similar or larger responsibilities.&nbsp;</p><br><br></li><li><p>Proven track record of delivering business growth, experience defining investment strategy and executing integrated marketing campaigns across digital and non-digital channels</p><br><br></li><li><p>Strong analytical skills. You are comfortable dealing with high growth and complex business challenges. SQL knowledge is a plus&nbsp;</p><br><br></li><li><p>Strong business acumen and passion for end-to-end project management (from ideation and analysis into implementation).</p><br><br></li><li><p>Stakeholder management: capacity to influence decision-making, resolve conflicts, and ensure project success while balancing stakeholder priorities</p><br><br></li><li><p>Hands-on attitude: You’ll have to roll up your sleeves!</p><br><br></li><li><p>Proficiency in English&nbsp;</p><br><br></li><li><p>Ninja expertise with Excel / Google Sheets (is a must)</p><br><br></li><li><p>Strong consumer understanding skills</p><br><br></li></ul> Additional Information <p>Individuals representing diverse profiles,&nbsp;<strong>and abilities,</strong>&nbsp;encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there!&nbsp;<strong>Skills can be learned, and embracing diversity is invaluable.</strong></p><br><br><p><strong>We believe driven talent deserves:</strong></p><br><br><ul><li> Top-notch private health insurance to keep you at your peak.</li><li> Monthly Glovo credit to satisfy your cravings!</li><li> Discounts on transportation, food, and even kindergarten expenses.</li><li>️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!</li><li> Enhanced parental leave.</li><li> Online therapy and wellbeing benefits to ensure your mental well-being.</li></ul><br><p>At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. <strong>Learn more about our Leadership Principles </strong><strong><u>here</u></strong><strong>.</strong></p><br><br><p>Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.</p><br><br><p>Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).</p><br><br><p><strong>So, ready to take the wheel and make this the ride of your life?</strong><br> <br> Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website!</p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.</p><br><br>Job Description<br><p><strong>THE JOURNEY<br> <br> Be a part of a team where you will:</strong></p><br><ul><li><p>Have an Important role in defining Glovo’s local Marketing strategy, adapting the global playbook to local needs.&nbsp;</p><br></li><li><p>Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our consumer products, identify growth opportunities, and execute projects to drive growth and engagement</p><br></li><li><p>Understand local media landscape and define the right mix of digital/non-digital investment to maximize user base growth within the agreed CAC (Cost of Acquisition) targets.</p><br></li><li><p>Track the Market dynamics and competitor activities.</p><br></li><li><p>Lead local Marketing activations (offline and online) in coordination with Commercial/other involved teams</p><br></li><li><p>Own the tracking and expenditure of the Marketing budget for the country.&nbsp;</p><br></li><li><p>Track and monitor key Growth metrics providing the appropriate visibility to stakeholders.&nbsp;</p><br></li><li><p>Lead the ideation and execution of product changes that drive growth, partnering with Partner Operations, Operations, Finance, Content and Sales.</p><br></li><li><p>Establish shared vision across the company for growth product optimizations by building consensus on priorities leading to major product improvements.</p><br></li><li><p>Communicate and simplify concepts to the audience's needs</p><br></li></ul><br>Qualifications<br><p><strong>WHAT YOU WILL BRING TO THE RIDE</strong></p><br><ul><li>Bachelor's degree in Business, Math, Engineering, Stats or Quantitative field</li><li><p>3-4 years of experience in a leading FMCG company or in the E-commerce sector performing in a role of similar or larger responsibilities.&nbsp;</p><br></li><li><p>Proven track record of delivering business growth, experience defining investment strategy and executing integrated marketing campaigns across digital and non-digital channels</p><br></li><li><p>Strong analytical skills. You are comfortable dealing with high growth and complex business challenges. SQL knowledge is a plus&nbsp;</p><br></li><li><p>Strong business acumen and passion for end-to-end project management (from ideation and analysis into implementation).</p><br></li><li><p>Stakeholder management: capacity to influence decision-making, resolve conflicts, and ensure project success while balancing stakeholder priorities</p><br></li><li><p>Hands-on attitude: You’ll have to roll up your sleeves!</p><br></li><li><p>Proficiency in English&nbsp;</p><br></li><li><p>Ninja expertise with Excel / Google Sheets (is a must)</p><br></li><li><p>Strong consumer understanding skills</p><br></li></ul><br>Additional Information<br><p>Individuals representing diverse profiles,&nbsp;<strong>and abilities,</strong>&nbsp;encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there!&nbsp;<strong>Skills can be learned, and embracing diversity is invaluable.</strong></p><br><p><strong>We believe driven talent deserves:</strong></p><br><ul><li> Top-notch private health insurance to keep you at your peak.</li><li> Monthly Glovo credit to satisfy your cravings!</li><li> Discounts on transportation, food, and even kindergarten expenses.</li><li>️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!</li><li> Enhanced parental leave.</li><li> Online therapy and wellbeing benefits to ensure your mental well-being.</li></ul><p>At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. <strong>Learn more about our Leadership Principles </strong><strong><u>here</u></strong><strong>.</strong></p><br><p>Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.</p><br><p>Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).</p><br><p><strong>So, ready to take the wheel and make this the ride of your life?</strong><br> <br> Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website!</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>About Yassir:</strong><br> Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.<br>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values.<br><br><p><b>About the Role</b></p><br><ul><li>Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business.<br>This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services.<br></li> </ul><strong>What This Role Is (and Isn't)</strong><br> <br>This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit.<br><br><p><b>Responsibilities</b></p><br><ul> <li><strong>Data-led discovery:</strong> Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog.</li> <li><strong>Problem framing:</strong> Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do.</li> <li><strong>Metrics and success criteria:</strong> Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it.</li> <li><strong>Experimentation and causal inference:</strong> Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible.</li> <li><strong>ML product lifecycle:</strong> Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended.</li> <li><strong>Roadmap and trade-offs:</strong> Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services.</li> <li><strong>Stakeholder alignment and visibility:</strong> Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives.</li> <li><strong>Leadership and culture:</strong> Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you.<br></li> </ul><br><p><b>Requirements</b></p><br><ul> <li>4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations).</li> <li>Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it.</li> <li>Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference.</li> <li>Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance.</li> <li>A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong.</li> <li>Experience working with distributed or remote teams across multiple markets.</li> <li>Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus.</li> <li>BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.<br></li> </ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Are you curious, motivated, and forward-thinking? At <i><b>FIS </b></i>you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.</span></p><br><p><b>About the team<u>:</u></b><br>The Managed Service team is a group of dynamic, knowledgeable, and collaborative individuals who use their business and technology understanding to provide day-to-day solutions and support for multiple key systems within the FIS Capital Markets world. This team of IT professionals oversees the designing, testing, and implementing of very complex functionalities within their respective systems by leveraging all the expertise in FIS’s cutting-edge technology and day-to-day financial concepts.</p><br><p><b><u>What you will be doing?</u></b></p><br><p>This position is created to build up <span>FIS Service delivery Run tech team middle office</span> resource for hosted clients .The majority of hosted clients all have business with EMEA markets.</p><br><p>This position requires collaboration with top investment banks and brokers to design technical and functional solutions, support products, facilitate communication for client changes, engage professional services solutions, provide presentations around solutions, &nbsp;relay support estimations, and respond to RFI's and RFP's around the services provided, while working to support the clients use of a software solution.</p><br><p><br><b><u>What you bring: </u></b></p><br><ul><li><p>Excellent communication, interpersonal, intuitive skills with ability to work efficiently in both independent and teamwork environments.</p><br></li><li><p><b>Overall, 3 years’ experience with at least 1-2 year experience in&nbsp; Banking. Experience working in Finance, Capital Market, or FinTech.</b></p><br></li><li><p><b>Hands on experience in UNIX, Shell scripting, Oracle, SQL, and PL/SQL.</b></p><br></li><li><p><b>Excellent communicator, fluent in French, English, and ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion</b>.</p><br></li><li><p>Familiarized with IT Service management processes .</p><br></li><li><p>Versed in software development processes</p><br></li><li><p>Understand, and&nbsp; resolve tickets that arise for the application.</p><br></li><li><p>Ability to analyze and solve problems using learned techniques and tools.</p><br></li><li><p>Ability to translate client requirements to technical specifications and communicate to technical staff.</p><br></li><li><p>Proven track record of successfully supporting and managing software products in a SaaS platform</p><br></li><li><p>Ability to manage E2E Incident life cycle and work with both internal/external stakeholders to remediate production issues.</p><br></li><li><p>Collaborate with relevant teams (e.g. DEV, PS, BA, CIO) to identify and implement solutions to boost production stability.</p><br></li><li><p>Participate on ongoing production stability enhancement projects and drive Production changes when needed.</p><br></li><li><p>Proactive and details-oriented track record of authoring high-quality documentation.</p><br></li><li><p>Organized approach, manage and adapt priorities according to client and internal requirements.</p><br></li><li><p>Self-starter but team mindset - work autonomously and as part of a global team.</p><br></li><li><p>Engineering degree in computer science/ related field or the equivalent combination of education, training, or work experience.</p><br></li></ul><p><b><u>What we offer you:</u></b></p><br><ul><li><p>An attractive salary package and other bonuses as performance bonus, meals vouchers, transportation….</p><br></li><li><p>Attractive range of benefits including private medical cover, dental cover, and travel insurance.</p><br></li><li><p>Continuous development through our diversified training across core financial, sales and FIS solutions.</p><br></li><li><p>A modern, international work environment and a dedicated and motivated, supportive team.</p><br></li><li><p>A broad range of professional development possibilities, resources, and opportunities.</p><br></li></ul><p><b><span>#LI-RB1</span></b></p><br><p><b>#LI-HYBRIDE</b></p><br><p><b>Privacy Statement</b></p><br><p>FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.</p><br><p><b>Sourcing Model</b></p><br><p>Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.</p><br><p>#pridepass</p><br> </div>

<p>The UN Secretary-General launched on 1 January 2019 a bold and new global reform which repositioned the UN Development System to deliver more effectively and efficiently with the achievement of the 2030 Agenda and the Sustainable Development Goals. As part of this reform, UN Resident Coordinator Offices (UN RCO), under the leadership of an empowered and independent UN Resident Coordinator - the highest-ranking official of the UN Development System and Representative of the UN Secretary-General at country level - support countries in the achievement of their development priorities and the attainment of the SDG's. In its Resolution A/RES/72/279, the United Nations General Assembly endorsed the transformation of the Development Operations Coordination Office (DCO) as a stand-alone coordination office within the United Nations Secretariat. DCO exercises managerial and oversight functions of the resident coordinator system under the oversight of the Chair of United Nations Sustainable Development Group (UNSDG). In 2026, DCO undertook a recalibration to ensure the RC system remains optimally configured to support the acceleration of the 2030 Agenda and embodies the UN 2.0 shift-anchored in data, <strong>digital</strong>, innovation, behavioral science, strategic foresight, and a mission driven organizational culture. The Associate Data Specialist contributes to interacting with counterparts, officers and technical staff in relevant organizational units in data engineering, data science and other data specialists, data owners and subject matter experts for the development and implementation of the databases, data collection systems and data analytics that optimize statistical efficiency and quality. It also contributes to the interaction with external counterparts in the UN funds, programs and other UN specialized agencies, consultants, and other partners to collaborate and exchange information and best practices. The position is located in the United Nations Resident Coordination Office (RCO) in Tunis, Tunisia, under the direct supervision of the Head of the Resident Coordinator Office.</p><p>Responsibilities</p><p>Within delegated authority, the incumbent will be responsible of the following duties:</p><ol><li>Develop and implement databases, data collection systems, data analytics, and other analysis, reporting and quality control capabilities; identifies appropriate data sources for analytics projects; identifies new data analysis process-improvement opportunities and strategies that optimize statistical efficiency and quality.</li><li>Identify, analyze, and interpret trends or patterns, applying statistical methods to structured and unstructured sources of information and data to surface relevant features and variables.</li><li>Implement process-improvement mechanisms for data analytics tasks; acquires and cleans data from primary and secondary sources; maintains and quality-assures databases and data systems, including UN INFO and CF results data.</li><li>Develop reports, dashboards, and other tools to effectively summarize findings and convey information to management across the development, humanitarian and peace nexus, supporting RC/UNCT evidence-based decision-making.</li><li>Document requirements, background information and methodology and establish documentation practices and standards for other staff to follow.</li><li>Draft inputs for a wide range of documents/reports, briefings/debriefings, correspondence, etc.</li><li>Contribute to the development of processes and tools to monitor and analyze model performance and data accuracy.</li><li>Design internal process improvements: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability</li><li>Implement solutions to data-related technical problems and data infrastructure updates.</li><li>Contribute to the preparation and organization of datasets to ensure data scientists and analysts have the necessary data for feature extraction. Perform routine data processing and quality checks to maintain data integrity.</li><li>Collaborate with data engineers and data scientists to improve data flows, data quality, etc.</li><li>Contribute to the creation of basic data visualization outputs to aid decision-making and communications of analysis outputs.</li><li>Contribute to project tasks, assist with data collection and initial analysis, and report unresolved issues to senior staff.</li><li>Contribute to the production of data products like reports or newsletters related to data analysis activities.</li><li>Conduct data collection, cleaning, and preliminary analysis, contributing to the identification of patterns and trends.</li><li>Compile and clarify data insights and develop supporting materials in preparation for stakeholder communications.</li><li>Keep abreast of current and emerging trends in data analytics best practices, technologies, and tools, and proposes their application to strengthen the RCO's analytical function.</li><li>Build staff and partner capacity on data analytics, including delivering trainings and workshops for UN personnel and national counterparts.</li><li>Support data preparation and preliminary analysis, verification, and pattern identification; contributes to routine reporting and administrative aspects of the work plan.</li><li>Contribute to the design and development of data science products, including through advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and related algorithms and computational approaches, to generate insights not otherwise detectable through standard analysis.</li><li>Serve as a resource person and informal mentor on data analytics within the RCO, promoting a data-driven culture and knowledge-sharing across results groups.</li><li>Performs other duties as assigned</li></ol><p>Competencies</p><p>PROFESSIONALISM: Working collaboratively, Strategic thinking, Analytical thinking, Knowledge and understanding of sustainable development theories, concepts and approaches. Ability to identify and develop sources for data collection. Ability to undertake research, analyze data, make recommendations and write draft reports on sustainable development issues. The ability to analyze and interpret data in support of decision-making and convey resulting information to management. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>An advanced university degree (Master's degree or equivalent) in computer science, data science, analytics, statistics, applied mathematics, information management, data management, information systems, information science or a related quantitative field is required. A first-level university degree (Bachelor's degree or equivalent) in combination with qualifying experience may be accepted in lieu of the advanced university degree.</li><li>A minimum of two (2) years of progressively responsible experience in data analysis, statistics, monitoring and evaluation, research, data management, or a related field is required.</li><li>Experience in collecting, cleaning, validating, analyzing, and interpreting data from multiple sources to support evidence-based decision-making is required.</li><li>Experience using data analysis and visualization tools such as Power BI, Tableau, R, Python, SQL, or similar platforms is required.</li><li>Demonstrated experience in developing analytical products, dashboards, reports, or data visualizations for technical and non-technical audiences is required.</li><li>Experience conducting data quality assurance and applying data validation methodologies is required.</li><li>Demonstrated experience in developing and applying quantitative and statistical data modelling techniques, including forecasting, trend analysis, regression modelling, scenario analysis, and predictive analytics, to support strategic planning, SDG monitoring, programme performance assessment, and evidence-based policy and decision-making is required.</li><li>English and French are the working languages of the United Nations Secretariat. For this job opening, English and French and Arabic are required.</li></ul>