Quant jobs / BNP Paribas

Quantitative Models Analyst Trainee

Evaluate margin models used by central clearing counterparties. Quantitative reviews help credit committees judge whether clearing-house safeguards match BNP Paribas’s exposures.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Reproduce CCP margin calculations from published model information.
Test assumptions, calibration and model performance.
Analyse interactions between portfolio risks and market parameters.
Present findings to credit committees and monitor emerging issues.

What they ask for

Required

Quantitative analysis
Python programming
Reliable organisation of research work
Presentation and communication
Microsoft Office

Education: Master’s qualification in a subject such as statistics, physics, engineering, mathematics or quantitative finance.
Experience: Trainee position; no minimum experience stated.
Languages and tools: Python
Excel
Markets: multi-asset, options, futures, fx, fixed-income

How to prepare

Implement a portfolio VaR margin model.
Backtest coverage and investigate margin shortfalls.
Compare diversification assumptions under stressed correlations.

What to study

The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on BNP Paribas’s site before applying: requirements, location and pay can change after we check them.

View the posting on BNP Paribas’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with BNP Paribas and doesn’t handle applications.