Jobs via Dice
Quantitative Risk QA Consultant
Candidate will assist the Clearing Department on day-to-day activities in support of quant risk and IT teams. The Risk Management Department is responsible for developing, analyzing, and testing various Margin models across multiple asset classes for clearing initiatives.
Principal Accountabilities
Daily responsibilities include code release testing for all Client's code releases, historical data validation, margin and stress testing model validation, and portfolio back-testing.
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 statistical models in risk management preferred.
Knowledge of advanced derivatives modeling and volatility models preferred.
Experience with programming languages such as C++/C#, R, VBA, and SQL is required.
Preference given to candidates demonstrating 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.
Location: Chicago, IL
Salary: $110,000.00 – $130,000.00
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Principal Accountabilities
Daily responsibilities include code release testing for all Client's code releases, historical data validation, margin and stress testing model validation, and portfolio back-testing.
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 statistical models in risk management preferred.
Knowledge of advanced derivatives modeling and volatility models preferred.
Experience with programming languages such as C++/C#, R, VBA, and SQL is required.
Preference given to candidates demonstrating 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.
Location: Chicago, IL
Salary: $110,000.00 – $130,000.00
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