Quant Risk Analyst — Margin & Model Validation (Python)

Randstad; Chicago (IL); On-site; USD 70,000 - 110,000; Full time

Job summary

A leading recruitment agency is seeking a contractor in Chicago, IL, to contribute to critical margin model development. The ideal candidate should hold a PhD or Master's in a quantitative field and possess advanced Python programming skills. Responsibilities include performing statistical analysis, enhancing margin methodologies, and developing benchmarking processes. Strong communication skills are essential for collaboration with technology teams. This is a W2 position lasting for 6 months.

Qualifications

• PhD (preferred) or Master's degree in quantitative fields such as financial engineering, mathematics, statistics, physics, or computer science.
• Advanced programming skills in Python.
• Solid understanding of derivatives pricing.
• In-depth understanding of Value at Risk and statistical estimation methods.

Responsibilities

• Perform statistical analysis to calibrate shocks for margin calculation.
• Review current methodology to enhance margin adequacy.
• Prototype models for implementation by the technology team.
• Develop processes for daily benchmarking and backtesting.
• Support ad-hoc analysis for model documentation.

Skills

Statistical analysis

Programming in Python

Communication skills

Understanding of derivatives pricing

Value at Risk understanding

Quantitative modeling

Education

PhD or Master's degree in quantitative fields

Job description

A leading recruitment agency is seeking a contractor in Chicago, IL, to contribute to critical margin model development. The ideal candidate should hold a PhD or Master's in a quantitative field and possess advanced Python programming skills. Responsibilities include performing statistical analysis, enhancing margin methodologies, and developing benchmarking processes. Strong communication skills are essential for collaboration with technology teams. This is a W2 position lasting for 6 months.