I am working with a Clearing House looking to add on talented quantitative individuals to their Quantitative Risk Management team which develops and maintains risk models for margin, clearing fund, and stress testing from end-to-end. Some of the firm's top "clients" are the industry -leading prop shops, hedge funds, asset management firms, and investment banks located in the Chicago area. This is a growing team with a ton of opportunity with internal mobility and career growth for junior to mid-junior candidates!
This candidate will be responsible for primarily developing pricing models for equity derivatives, margin models, and stress testing models across a variety of financial products and derivatives. Building up these models from scratch will be a primary responsibility, along with designing and implementing model prototypes, model libraries, and model testing tools, enhancing upon existing models, performing model testing, and providing quantitative analysis and support to risk managers on all risk and pricing calculations.
The firm is looking for candidates with strong quantitative skills and the ability to develop risk and pricing models from scratch for derivatives products, proficiency coding in Python, strong problem-solving skills, and general knowledge of financial mathematics.
Responsibilities:
- Developing pricing models for equity derivatives, margin models, and stress testing models across a variety of financial products and derivatives
- Designing and implementing model prototypes, model libraries, and model testing tools
- Enhancing upon existing models already in production
- Providing quantitative analysis and support to risk managers on all risk and pricing calculations
Qualifications:
- Prior experience developing pricing and risk models for derivatives products
- Proficiency in Python
- Familiarity with econometrics and financial mathematics
- Strong financial products knowledge
