Sr. Quantitative Risk Analyst

Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.

Geneva Trading USA, LLC seeks Sr. Quantitative Risk Analyst at its facility located at 190 S LaSalle Street, Suite 1800, Chicago, IL  60603.

JOB DESCRIPTION:

Design new risk controls for power trading and develop quantitative and machine learning models to evaluate risks and identify opportunities.  Monitor risk on a real-time basis, leveraging our monitoring and analysis framework to identify and communicate important risk-related information to traders and management.  Use sound judgment and decision-making ability to challenge assumptions and enforce risk limits.  Build and maintain dashboards using Python and R to monitor and analyze firm-wide exposures.  Manage energy trading risk, develop new risk models, and optimize data processes for efficient risk modeling.  Research and onboard new products and strategies traded by teams.  Conduct academic research to analyze and optimize risk tools, such as VaR, stress tests, and options profiles.  Develop and mentor junior members of the risk team.

REQUIREMENTS:

This position requires a Master’s degree, or foreign equivalent in Finance, Economics, Statistics, Mathematics or a related field, plus 3 years of experience as a Quantitative Risk Analyst or related occupation in the trading industry.  Additionally, the applicant must have employment experience with: (1) Understanding futures and derivatives trading (Fixed Income, FX, Equities, Commodities, etc.) and their Greeks for the purpose of market hedging; (2) Utilizing techniques including Historical Simulation, VaR, Scenario Analysis/Stress Testing, Greeks, and Option profiles to evaluate and represent a market risk; (3) Implementing statistical methods and employing optimization libraries and statistical packages including R; (4) Develop and cross-validate R and Python projects to facilitate research and analysis in different projects; (5) Working with kdb/Q to examine market bid, ask, and volume; (6) Manage code check-in and pull-requests to improve programming code-base; (7) Utilizing statistical methods including reading and replicating vendor white papers to perform various research and projects; (8) Employing optimization libraries and statistical packages from R and Python; and (9) Fetch data from multiple databases including SQL and Bloomberg for analysis and research purpose.

RATE OF PAY: $114,171 per year

BENEFITS: Medical; HSA; Dental; Short and Long-Term Disability; Basic and Voluntary Life and AD&D; Employee Assistance Program; FSA; Commuter Benefits, Retirement Savings.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.