Manager – Quantitative Research Counterparty Risk Strats
A role in the global quantitative research counterparty risk group, supporting models and analysis for prime brokerage, listed derivatives, clearing and fixed income. The Mumbai hire works on London hours.
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.
- Run regular calibration and performance monitoring of counterparty risk models
- Automate recurring monitoring tasks
- Backtest and attribute P&L to risk factors to spot data or model issues
- Prototype risk models and stress tests under senior guidance
- Analyse hedge fund industry trends for client and management reports
What they ask for
Required
- 3-5 years in financial markets
- Bachelor's or higher in a quantitative discipline
- Data analysis and mathematical modelling
- Python and SQL
- Automation skills
- Strong communication
Preferred
- Counterparty and market risk methods such as VaR and stress testing
- Initial and variation margin
- Model risk and regulatory knowledge
- Education
- Bachelor's or higher in a quantitative discipline; professional qualifications such as CFA or FRM also considered.
- Experience
- 3-5 years in the financial sector with direct markets experience
- Languages and tools
- Markets
- multi-asset
How to prepare
- Compute historical and Monte Carlo VaR for a sample portfolio and backtest it
- Learn initial margin models such as SIMM at a high level
- Build an automated Python report that monitors a model's backtest breaches
- Study counterparty exposure measures like potential future exposure
What to study
- Quantitative Risk Management
- Counterparty Credit Risk and CVA
- Probability, Statistics and Financial Data
- Python for Quantitative Finance
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SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Morgan Stanley and doesn’t handle applications.