Quantitative Risk QA Consultant
Candidate will assist the Clearing Department on day-to-day activities in support of quant risk and IT teams. The Team in the Risk Management Department is responsible for developing, analyzing, and testing various Margin models across multiple asset classes for clearing initiatives.
Responsibilities:
Daily responsibilities include code release testing for all CMESC code releases, historical data validation, margin and stress testing model validation, and portfolio back-testing. The candidate must have the ability to efficiently, effectively, and independently conduct research, analyze problems, formulate and implement solutions, and produce high quality results on time.
Skills / Software Requirements:
- Strong quantitative and analytical background.
- Excellent programming, communication, and documentation skills.
- Knowledge of financial markets.
- Knowledge in advanced quantitative risk modeling and knowledge of statistical models in risk management is preferred.
- Knowledge in advanced derivatives modeling and knowledge of volatility models preferred.
- Experience with programming languages such as C++/C#, R, VBA, and SQL is also required.
- Preference will be given to candidates who can demonstrate the best practices in developing risk models like Historical VaR, Monte Carlo VaR, Multi-Factor Risk Models, Stressed VaR, Liquidity Risk models, etc.
Education:
Master’s in Computer Science, Financial Engineering, Financial Mathematics, Mathematics, Physics, or a related discipline.
**We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.**
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