Junior Quantitative Researcher: Options & Volatility Modeling

Trading Interview; Chicago (IL); Hybrid; USD 175,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

401(k) with employer match

Paid vacation

Tuition reimbursement

On-site meals

Job summary

Old Mission Capital seeks a Junior Quantitative Researcher in Chicago to join the options research team. You will develop and refine pricing models for volatility-based derivatives across asset classes and contribute to building cutting-edge tools and models.

The role emphasizes collaboration with traders, rigorous model evaluation, and advancing the quant team's capabilities in options research. PhD candidates and soon-to-graduate graduates are encouraged to apply.

Qualifications

• Masters or PhD in a quantitative field with anticipated graduation Summer 2027.
• Strong knowledge of derivatives and volatility modeling including forward curves and volatility surfaces.
• Proficient in Python and C++.

Responsibilities

• Design and implement advanced derivative pricing models for single-asset derivatives and equity volatility products.
• Evaluate pricing models and calibrations for accuracy and Greeks stability; propose enhancements.
• Develop robust research infrastructure and Python libraries for options research.
• Collaborate with traders to analyze data and create new tools to identify market patterns.

Skills

Python

C++

Derivatives

Volatility modeling

Education

Master's or PhD in quantitative field

Job description

Old Mission Capital seeks a Junior Quantitative Researcher in Chicago to join the options research team. You will develop and refine pricing models for volatility-based derivatives across asset classes and contribute to building cutting-edge tools and models.

The role emphasizes collaboration with traders, rigorous model evaluation, and advancing the quant team's capabilities in options research. PhD candidates and soon-to-graduate graduates are encouraged to apply.