Quantitative Market Risk Intern – AI & Derivatives (Paris)

Geneva Com; Paris; Hybrid; EUR 18,000 - 22,000; Part time

Benefits offered by this job

Paid internship allowance

Job summary

Council of Europe Development Bank (CEB) is seeking an intern for its Market Risk and Capital Management Unit in Paris to support quantitative modelling and AI-driven analysis. You will report to the Head of the Unit and collaborate with Risk & Control, Finance and IT teams on CVA, capital and liquidity projects.

The role requires a recent Master’s graduate or current final-year student in a quantitative field, strong programming skills (Python or R) and good English or French proficiency.

Qualifications

• Graduated within the past 24 months or currently enrolled in the final academic year, ideally at Master’s level or equivalent.
• Studies in quantitative finance, financial mathematics, applied mathematics, statistics, data science, computer science, engineering or an equivalent quantitative discipline.

Responsibilities

• Valuation control of derivatives; develop tools to control Bloomberg swap and basis curves used for derivatives valuation.
• Build an in-house CVA tool for the derivatives portfolio, covering exposure simulation, netting and collateral, default probability and recovery calibration.
• Carry out quantitative analyses across internal models, including capital (ICAAP), provisioning (ECL) and liquidity stress testing, with backtesting and documentation.
• Explore the use of AI to support model analysis, documentation review and process automation across the Unit’s quantitative risk frameworks.

Skills

Quantitative skills

Programming (Python/R)

SQL/VBA/Git

Risk modelling interest

English/French proficiency

Education

Master's student or recent graduate

Tools

Python

SQL

Git

Job description

Council of Europe Development Bank (CEB) is seeking an intern for its Market Risk and Capital Management Unit in Paris to support quantitative modelling and AI-driven analysis. You will report to the Head of the Unit and collaborate with Risk & Control, Finance and IT teams on CVA, capital and liquidity projects.

The role requires a recent Master’s graduate or current final-year student in a quantitative field, strong programming skills (Python or R) and good English or French proficiency.