Senior Quant Research Analyst – Fixed Income

Pennymac; Westlake Village (CA); On-site; USD 68,000 - 115,000; Full time

Benefits offered by this job

Medical

Dental

Vision

PTO

Wellness program

401k match

Job summary

Pennymac is seeking a Senior Analyst, Quantitative Research to support the development, execution, and maintenance of prepayment, interest rate, fixed income, and derivative pricing models. You will work with senior researchers and trading desks to implement financial engineering models and maintain algorithms used for portfolio valuation.

This role targets early-career professionals with an advanced degree and strong programming skills in Python, C++, or R, plus SQL experience.

Qualifications

• Master's degree in Financial Engineering, Quantitative Finance, Applied Economics, Computational Finance, or Applied Mathematics/Statistics required.
• 2+ years of professional experience in capital markets, quantitative research, or financial risk management preferred.
• Strong proficiency in Python, C++, or R for financial modeling; solid SQL for data querying.

Responsibilities

• Model Implementation & Maintenance: Create and maintain quantitative tools for prepayment, interest rate, and option pricing models.
• Financial Data Engineering: Build pipelines to clean and structure large capital markets datasets.
• Derivatives & Valuation Support: Run daily valuation scripts and risk analytics for fixed income products and MSR portfolios.
• Capital Markets Analytics: Produce ad-hoc reports, backtest strategies, and perform sensitivity analyses.

Skills

Python

C++

R

SQL

Fixed income math

Derivatives

Education

Master's degree in Financial Engineering

BS with 2-3 years experience

Job description

Pennymac is seeking a Senior Analyst, Quantitative Research to support the development, execution, and maintenance of prepayment, interest rate, fixed income, and derivative pricing models. You will work with senior researchers and trading desks to implement financial engineering models and maintain algorithms used for portfolio valuation.

This role targets early-career professionals with an advanced degree and strong programming skills in Python, C++, or R, plus SQL experience.