Quantitative Risk Analyst

Description:

One of our Financial Clients is looking to hire a Quant Risk Analyst for their team. This would be a long term contract

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. 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 preferred.
• Knowledge in advanced derivatives modeling and knowledge of volatility models preferred.
• Experience with programming languages such as Python, 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.