Quantitative Analyst

The European Investment Fund (EIF) is seeking to recruit for its Central Front Office Services Department (CFOS) – Business Support Division, Quant Models & Data Science Unit at its headquarters in Luxembourg, a ​Quantitative Analyst​ *. This is a full-time position at grade 4 for which the EIF offers a permanent contract.

*Internal benchmark: Analyst

Panel interviews via videoconference are anticipated for December 2026

Purpose

Part of the EIB Group, the mission of the European Investment Fund (EIF) is to improve access to finance for SMEs and small mid-caps in Europe. We do this by supporting emerging and established fund managers with equity investments and by designing debt financing instruments that share the risk taken by financial institutions when they lend to or invest in small businesses. We bring this support closer to entrepreneurs through our extensive network of partners and financial intermediaries in all EU Member States and associated countries.

Operating network

The Quant Models & Data Science Unit is in charge of quantitative model development and maintenance in support of key front office needs and resourcing planning activities. The Unit cooperates mainly with the EIF Risk Office.

Responsibilities

At a level commensurate with your experience and seniority, you will:

• Develop, maintain and enhance quantitative models and methodologies supporting the valuation, risk assessment and monitoring of equity, debt and structured finance portfolios.

• Conduct portfolio assessments, simulations and scenario analyses, including stress testing, to evaluate portfolio performance, market developments and key risk drivers.

• Analyse securitisation and structured finance transactions, including transaction structures, collateral pools, cash-flow waterfalls, credit enhancement mechanisms and tranche-level risk profiles.

• Assess the impact of key assumptions, including default, recovery, prepayment, concentration and correlation risks, on transaction and portfolio performance.

• Provide quantitative and modelling support to Front Office teams throughout the investment lifecycle, contributing to due diligence, transaction structuring, risk assessment and valuation.

• Contribute to the design, development, implementation and continuous improvement of in-house quantitative models, simulation tools and analytical methodologies.

• Develop quantitative scripts, automation solutions and analytical tools, including through the application of data mining and machine learning techniques, to enhance analytical capabilities and support decision-making.

• Ensure appropriate documentation of quantitative models, methodologies and analytical tools, and provide technical guidance and support to colleagues on modelling, programming and system implementation matters.

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• Monitor developments in market practices, quantitative methodologies and analytical techniques relating to equity, credit and structured finance portfolio analytics.

Qualifications

• At least three years and no more than five years of post-graduation (after having obtained your initial university diploma) relevant professional experience to the role at the same level of responsibility

• Advanced degree (master’s or higher) in Financial Engineering, Mathematics, Data Science, Computer Science, Statistics, or a related field, with an emphasis on quantitative methods.

• Proficiency in quant modelling, using tools such as VBA, Advanced Excel, Python. Experience with Python is mandatory.

• Strong quantitative and programming skills as well as knowledge and understanding of quantitative models.

• Fluency in written and oral English.

The following would be considered an advantage:

• Knowledge of other EU languages

• Knowledge of object-oriented programming

• Exposure to data science and/or familiarity with SQL database queries

• Exposure to equity and credit-related products

• Knowledge of securitisation concepts and structures; practical experience with securitisation, structured credit, cash-flow waterfalls or loan-level portfolio analysis

• Understanding of EIF’s operational framework

Behavioural Skills

Find out more about EIBG core behavioural skills here: Link

Additional role specific behavioural skills:

• Plans and aligns: Sets objectives to align with broader organisational goals; Breaks down objectives into appropriate initiatives and actions; Stages activities with relevant milestones and schedules; Anticipates and adjusts effective contingency plans.

• Self-development: Shows personal commitment and takes action to continuously improve; Accepts assignments that broaden capabilities; Learns from new experiences, from others and from structured learning; Makes the most of available development resources.

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• Tech savvy: Anticipates the impact of emerging technologies and makes adjustments; Scans the environment for new technical skills, knowledge or capabilities that can benefit business or personal performance; Rejects low-impact or fad technologies; Readily learns and adopts new technologies.

• Optimizes work processes: Identifies and creates the processes necessary to get work done; Separates and combines activities into efficient workflow; Designs processes and procedures that allow managing from a distance; Seeks ways to improve processes, from small tweaks to complete reengineering.

Technical Skills

• Quantitative skills: Ability to use data and metrics to complete root cause analyses. Implementation of monitoring, performance and reporting metric. Developing requirements and formulating and visualizing key metrics for reporting.

• Software development: Knowledge of tools and programming languages for developing applications. Uses knowledge of programming languages to code, test, debug from supplied specifications in the language (e.g. C#, SQL, HTML, JAVA, .NET, VBA, Python, R, Matlab, SAS).

• Statistical Analysis: Ability to conduct statistical analysis in support of decision-making and/or ex-post assessments. Includes data collection, random variable types and probability, sampling and population distributions, hypothesis testing, and statistical process control.

• Innovative problem-solving and Initiative: Ability to proactively identify organizational challenges and leverage creative thinking to develop effective, sustainable solutions. It involves a keen sense of initiative, where individuals take ownership of problems and seek innovative approaches to improve efficiency and drive organizational improvement.

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• Machine learning: Ability to design and apply machine learning algorithms i.e. use historical data as input to predict new output values.

• Credit and Portfolio Risk Modelling: Ability to develop, validate, and improve models for credit risk and portfolio exposure using techniques like VaR, HS, and EVT to ensure accurate risk assessment and forecast potential losses.

Deadline for applications: 2 December 2026

We are an equal opportunities employer, who believes that diversity is good for our people and our business. We encourage all suitably qualified and eligible candidates to apply regardless of their gender identity/expression, age, racial, ethnic and cultural background, religion and beliefs, sexual orientation/identity, disability or neurodiversity.

We strongly invite applicants with a disability, neurodivergent profile or chronic condition to request reasonable accommodations at any stage during the recruitment process. Please contact Recruitment Recruitment@eif.org who will ensure that your request is handled.

Applicants with specific needs are encouraged to request reasonable accommodations at any stage during the recruitment process. Please contact the EIF Recruitment team (Recruitment@eif.org) who will ensure that your request is handled.

By applying for this position, you acknowledge the importance of maintaining the security and integrity of the Information of the EIB Group. In case of selection for the position, you agree to comply with all measures (policies, controls, document classification and management) implemented by the EIB Group to prevent unauthorized disclosure of any information or any damage to the EIB Group reputation.

Candidates are informed that pre-employment integrity screening is an integral part of the EIF recruitment process.