(Associate) Quantitative Development Officer - based in Luxembourg

Stellenbeschreibung:

This position is based at our Luxembourg headquarters and requires regular office presence. The EIB offers relocation support and a truly international, multi-cultural environment.

Overview

The EIB, the European Union's bank, is seeking to recruit for its Finance Directorate (FI), Strategy, Policies & Business Support Department (SPBS), Quantitative Implementation Unit (QI) at its headquarters in Luxembourg, an (Associate) Quantitative Development Officer. This is a full-time position at grade 4/5 for which the EIB offers a permanent contract.

Internal benchmark (Associate) Officer Business & Process Analysis

Panel interviews are anticipated for April/May 2026.

Purpose

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

Operating Network

You will report to the Head of Unit and work under the supervision of senior colleagues. Day-to-day delivery combines business analysis discipline with quantitative development skills to translate policy/methodological objectives into usable, controlled solutions that operate reliably in production.

You will work closely with FI/SPBS divisions (FPM for methodological and policy aspects, OSM for operations/production, SDM for systems and data), with GIS/IT for industrialisation and architecture, and with Risk Management, Financial Control and Internal Audit on governance, validation and assurance.

Key Features Of The Role Include

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, 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 prepare clear specifications for industrialisation with GIS/IT.

Qualifications

University degree (minimum equivalent to Bachelor) 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 in a major consultancy, financial institution, central bank or international organisation, covering both quantitative topics and business analysis delivery with end-to-end execution from requirement to production.
Experience with pricing/valuation and risk measures, ALM/IRRBB and/or FTP; ability to interpret model outputs and translate them into business actions.
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 prototyping/automation; familiarity with visualisation (Power BI or equivalent) and backlog/test management tools (Azure DevOps/Jira). Understanding of version control (Git) and basic CI/CD practices is desirable.
Experience embedding control evidence and interacting with model validation and/or internal/external audit.
Good interpersonal skills and client-oriented/service mindset. Good organisational skills and ability to prioritise.
Excellent knowledge of English and/or French, with a good knowledge of the other. Knowledge of other EU languages is an advantage.

Competencies

Find out more about EIB core competencies here. To find out more about eligibility criteria click here.

Notes: A good command of French is not a prerequisite for hire, but proficiency in both English and French is a prerequisite for career development. Language proficiency levels and training support are described in policy documents.

Equity & Inclusion

We hire and value talent with unique characteristics, creating a work environment where they can be themselves. We believe that Diversity, Equity and Inclusion make us a performing and innovative organisation. We encourage all suitably qualified and eligible candidates to apply regardless of gender identity/expression, age, race, ethnicity, religion, sexual orientation, disability or neurodiversity. We invite applicants with disabilities or chronic conditions to request accommodations at any recruitment stage by contacting the EIB Recruitment team.