Job Responsibilities:
- Design and implement cutting edge quantitative methods and analytical tools for modeling of counterparty credit risk and margin.
- Provide modeling support to end users from the Counterparty Credit Risk and the Collateral Management & Optimization groups.
- Collaborate with Technologies across the entire model development lifecycle from initial implementation to model deployment and release testing.
- Offer opportunities to work with High Performance Computing (HPC) including cloud computing, GPU and automatic differentiation.
- Automate and apply data analytics to improve processes.
Required qualifications, capabilities, and skills:
- Programming: hands-on experience with Python and C++
- Good communication skills both written and verbal
- MS degree minimum in a quantitative field, e.g. Quantitative Finance, Math, Physics, Computer Science or Engineering
Preferred qualifications, capabilities, and skills:
- Quantitative finance, probability theory, statistics and problem solving skills (machine learning a plus)