Capital Markets Modeling Sr Analyst

About the role

Pennymac is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey.

A Typical Day The Capital Markets Analyst supports the Financial Modeling, Credit, and Enterprise Risk teams with Python-based data work, junior-level statistical modeling for finance and risk, and clear recommendations for business partners. You will pull and clean data, help run and interpret models, automate recurring analysis.

Responsibilities

• Write Python scripts to pull, clean, and analyze data for recurring and ad‑hoc requests; automate reporting where it saves time.
• Help build, run, and interpret statistical models used in credit, risk, or financial modeling (regression, classification, basic validation, and sensitivity checks).
• Query data with SQL, work in a Linux or Windows development environment, and keep analysis reproducible with scripts, Git, and documented steps.
• Use AI coding tools to move faster, while remaining responsible for the correctness of the code and the results.
• Translate findings into recommendations and leadership‑ready materials.
• Partner with business colleagues and Application Development on process specifications when analysis needs to become a production workflow.

Requirements

• 1+ years of relevant work experience in analytics, data, risk, finance, or software.
• Working knowledge of Python for data analysis and scripting (e.g., polars or duckdb‑style wrangling, functions, readable code).
• Foundational statistical modeling for finance or risk: regression and classification, interpreting coefficients and errors, and basic model checks.
• Dev hygiene: SQL, Git, comfort on the Linux or Windows command line, and the ability to debug and document your work.
• Structured problem‑solving and clear written and verbal recommendations.
• Comfort using AI coding assistants while still owning correctness.

Qualifications

• Preferred background in Finance, Statistics, Math, or a related field.
• Familiarity with mortgage banking or mortgage‑related regulation.
• Exposure to credit risk, prepayment, or capital‑markets models.
• Experience with notebooks plus scripted or scheduled jobs.

Benefits

• Comprehensive Medical, Dental, and Vision.
• Paid Time Off Programs including vacation, holidays, illness, and parental leave.
• Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations).
• Retirement benefits, life insurance, 401k match, and tuition reimbursement.
• Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships.

Pay

Salary range: $68,000 – $115,000. Individual salary may vary based on multiple factors including specific role, geographic location/market data, and skills and experience. Lower in range – building skills and experience in the role; mid‑range – experience and skills align with proficiency in the role; higher in range – experience and skills add value above typical requirements of the role. Some roles may be eligible for performance‑based compensation and/or stock‑based incentives awarded based on company and individual performance.

Schedule

Work Model: OFFICE