Quantitative Risk Management Consultant

CME Group • New York, NY

1d

About The Position

The candidate will assist the Clearing Department on day-to-day activities in support of quant risk team. The Quantitative Risk Team in the Risk Management Department is responsible for developing, analyzing, and back-testing models for clearing initiatives. Responsibilities : Daily responsibilities include code release testing, 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. CME Group: Where Futures are Made CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more. At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic. Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here. As the world’s leading derivatives marketplace, CME Group is where the world comes to manage risk. We enable clients to trade futures, options, cash and OTC markets, optimize portfolios, and analyze data – empowering market participants worldwide to efficiently manage risk and capture opportunities. CME Group exchanges offer the widest range of global benchmark products across all major asset classes based on interest rates, equity indexes foreign exchange energy agricultural products and metals. We meet uncertainty and volatility with confidence and clarity, across the trading lifecycle and around the world. Hear more about our employee experience Get a look inside CME Group and see what makes us tick A rewarding career is only the beginning Best Place to Work Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Additionally, CME Group does not communicate with job applicants over Telegram. Learn more here. For U.S. employment, CME Group is legally required to validate a new hire’s employment eligibility by having them complete an Employment Eligibility Verification (Form I-9) companied with legally acceptable proof of identity and work authorization (as listed on the Form I-9). CME Group uses E-Verify, which is an online system operated by the U.S. Department of Homeland Security in partnership with the Social Security Administration to verify employment eligibility and validate social security numbers. Through participation in the E-Verify program, information entered on Form I-9 will be provided and compared to information available at both of these agencies. See posters below for more details. E-Verify Notice E-Verify Notice Español U.S. Right to Work Notice U.S. Right to Work Notice Español

Requirements

• Masters (and above) in Computer Science, Financial Engineering, Financial Mathematics, Mathematics, Physics, or a related discipline
• Strong quantitative and analytical background
• Excellent programming, communication, and documentation skills
• Knowledge of financial markets
• Experience with programming languages such as C++/C#, R, VBA, Python, and SQL is also required

Nice To Haves

• 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
• 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.

Responsibilities

• Assist the Clearing Department on day-to-day activities in support of quant risk team
• Code release testing
• Historical data validation
• Margin and stress testing model validation
• Portfolio back-testing
• Independently conduct research
• Analyze problems
• Formulate and implement solutions
• Produce high quality results on time

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees