Position Overview:
Selby Jennings is actively sourcing for an Associate Principal, Quantitative Risk Management for a global clearing house based out of Chicago.
The Associate Principal, Quantitative Risk Management - Model Analytics, is responsible for developing and maintaining sophisticated risk models for financial products and derivatives, including pricing, margin risking, and stress testing. The role involves designing and implementing model prototypes, conducting performance testing, and ensuring the seamless integration of models into production systems. Key responsibilities include maintaining and enhancing a model library, conducting quality assurance and back-testing, and supporting the launch of new products. The position requires collaboration with quantitative analysts, risk managers, and technology teams to drive innovation and improve model performance.
- Develop cutting-edge models for pricing, margin risking, and stress testing across diverse financial products.
- Dive into designing prototypes using best industry practices - innovation starts with you!
- Enhance existing models while implementing fresh ideas into our robust library.
- Quantitative Expertise: Command over derivatives pricing models, stochastic calculus along with advanced statistics and linear algebra skills.
- Programming Proficiency: Strong coding knowledge especially in Java (Java 8 or later) as well as scripting languages like Python or R; essential for both prototyping and enterprise-level software maintenance.
- Modeling Mastery: From econometrics data analysis techniques such as GARCH modeling to machine learning insights-your analytical prowess should be top-notch.
- Risk Acumen: A deep understanding of value-at-risk methods coupled with scenario analyses know-how ensures we stay ahead of potential market volatilities.
We're looking for critical thinkers who can challenge assumptions and ensure accuracy at every step.
If you're ready, apply now and be part of Chicago's finance scene!
