Quantitative Development Officer

About European Investment Bank (EIB)

The European Investment Bank (EIB), the European Union's bank, is seeking to recruit an (Associate) Quantitative Development Officer for its Finance Directorate (FI), Strategy, Policies & Business Support Department (SPBS), Quantitative Implementation Unit (QI) at its Luxembourg headquarters. This full-time position at grade 4/5 offers a permanent contract and the opportunity to work in a truly international and multi-cultural environment with relocation support.

Purpose of the Role

The Quantitative Implementation Unit (FI/SPBS/QI) supports FI in the design, implementation, and evolution of quantitative models. These models cover treasury, capital markets, and financial management topics handled in the 1st Line, such as interest rate, FX, liquidity, and counterparty credit risks.

Operating Network

Reporting to the Head of Unit and supervised by senior colleagues, you will combine business analysis discipline with quantitative development skills. Your day-to-day work involves translating policy and methodological objectives into usable, controlled solutions that operate reliably in production. You will collaborate closely with FI/SPBS divisions (FPM for methodological/policy, OSM for operations/production, SDM for systems/data), GIS/IT for industrialisation/architecture, and with Risk Management, Financial Control, and Internal Audit for governance, validation, and assurance.

Key Features of the Quantitative Development Officer Role

• End-to-end delivery from discovery to controlled production (requirements → data → prototyping/specification → testing/validation → release → run), often across multiple systems and teams.
• Control consciousness: ensuring evidence (reconciliations, approvals, logs) and documentation meet expectations and are audit-ready.
• Stakeholder alignment across business, IT, and control functions, balancing methodological rigour with operability and timelines.
• Strong collaborative spirit and cross-directorate teamwork: active participation in mixed delivery squads (FI + Risk Management quant developers, supported by GIS/IT), operating with shared standards and backlogs while respecting independence across the Lines of Defence.
• Continuous improvement to enhance robustness, performance, user experience, and process simplicity where feasible.

Accountabilities

• Implement and maintain quantitative models supporting FI activities and strengthening the 1st line of defence within FI, in line with industry standards and market practices (e.g., valuation and xVAs, ALM/IRRBB metrics, Fund Transfer Pricing). Support in the design and evolution of these models.
• Elicit and structure business needs by capturing objectives, constraints, and acceptance criteria; produce clear, testable functional and non-functional requirements; ensure end-to-end traceability from requirement to controlled production.
• Engineer and analyse data: source, reconcile, and quality-check inputs; design robust data queries and controls; perform exploratory analysis; produce decision-ready outputs (dashboards, reconciliations, exception reports) for business and control stakeholders.
• Prototype and specify solutions: develop lightweight analytical prototypes (e.g., Python/Excel/SQL) to validate concepts and performance; prepare functional and technical specifications for industrialisation by GIS/IT and/or vendors; ensure alignment with architecture and security standards.
• Test, validate, and evidence controls: define test strategy and cases; coordinate UAT and defect triage; support back-testing and independent validation; embed control evidence (4-eyes, reconciliations, run logs).
• Deliver change and manage stakeholders across FI/SPBS divisions and GIS/IT and partner functions (Treasury, Risk Management, Financial Control, Internal Audit); run workshops.
• Document and maintain methodologies, assumptions, model/process changes, test results, and user guides to an audit-ready standard; contribute to consolidation and rationalisation of models and applications.
• Support production and continuous improvement: monitor runs, analyse incidents to root cause, and implement enhancements that improve stability, performance, controls and user experience.
• Represent the Division in working groups and committees as requested; advise FI colleagues on the above-mentioned areas; prepare opinions and technical briefing notes.
• Support innovation adoption: identify opportunities to apply innovative technologies (e.g., AI assisted analysis, coding, testing, and document intelligence), run focused proofs of value, document benefits and risks, ensure compliance with internal controls and, and prepare clear specifications for industrialisation with GIS/IT.

Qualifications

• University degree (minimum equivalent to a Bachelor's) preferably in a quantitative or information-systems-relevant field (e.g., Financial Engineering, Applied Mathematics, Statistics, Computer Science, Business Information Systems, Finance with strong analytics). Post-graduate studies and/or professional certifications (e.g., PRM/GARP, CQF, CBAP, Scrum/Agile) are an advantage.
• At least 3 years of relevant professional experience acquired preferably in a major consultancy firm, major financial institution, central bank, or major international organisation, covering both quantitative topics and business analysis delivery with proven end-to-end execution from requirement to production.
• Relevant experience with pricing/valuation and risk measures, ALM/IRRBB and/or FTP; ability to interpret model outputs and translate them into business actions.
• Hands-on requirements engineering and process modelling; coordination of UAT, release readiness, and post-go-live follow-up; preparation of decision notes and user guides to an audit-ready standard.
• Data and tooling: strong SQL and Excel; strong knowledge of Python for analytical prototyping/automation; familiarity with visualisation (e.g., Power BI or equivalent) and backlog/test management tools (e.g., Azure DevOps/Jira). Understanding of version control (Git) and basic CI/CD practices is desirable.
• Experience embedding control evidence (reconciliations, approvals, run logs) and interacting with model validation and/or internal/external audit.
• Good interpersonal skills and client-oriented/service mindset. Good organisational skills and capability to prioritise.
• Excellent knowledge of English and/or French, with a good knowledge of the other. Knowledge of other EU languages would be an advantage.

Key skills/competency

• Quantitative Modeling
• Financial Risk Management
• Business Analysis
• Python Programming
• SQL Data Analysis
• Excel Proficiency
• Model Validation
• Stakeholder Management
• Process Improvement
• Audit Readiness