PennyMac

PENNYMAC

Pennymac is (NYSE: PFSI) 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

As a key member of our Risk Systems & Analytics group, you will play a pivotal role supporting the Credit Policy, Quality Control, and Enterprise Risk Management teams through a diverse range of responsibilities. Your core contributions will include:

• Design, develop, build, and implement advanced quantitative models using statistical and machine learning techniques to assess and forecast various risk metrics (e.g., credit risk, borrower behavioral analysis).
• Extract, analyze, and synthesize large volumes of complex data from SQL, Snowflake, and other sources. Translate raw data into actionable insights and strategic recommendations for senior management.
• Build, maintain, and optimize robust, automated reporting solutions and data pipelines using SQL, Python, and other programming tools to enhance efficiency and accuracy in risk monitoring.
• Partner closely with business unit stakeholders to understand evolving risk landscapes and reporting needs, translating requirements into effective analytical solutions.
• Contribute to financial modeling efforts, including stress testing and scenario analysis, to evaluate potential impacts on the mortgage portfolio.
• Drive comprehensive documentation of all models, reports, and analytical processes, adhering to internal governance standards.
• Proactively identify opportunities to optimize risk measurement methodologies, enhance data quality, and streamline analytical workflows.
• Work effectively both independently and collaboratively within a high-performing team to deliver timely and accurate risk reporting and analysis.

What You’ll Bring

• Bachelor's Degree in a quantitative field such as Finance, Economics, Statistics, Data Science, Mathematics, Computer Science, or a related discipline. Master's degree preferred.
• 3+ years of progressive experience in a quantitative analysis, data science, or risk modeling role, preferably within the financial services or mortgage industry.
• Expert proficiency in SQL for complex data extraction, manipulation, and analysis.
• Strong Python programming skills with experience in data manipulation libraries (e.g., Pandas, NumPy) and statistical/machine learning libraries (e.g., SciPy, Scikit-learn).
• Experience with Snowflake or other cloud-based data warehousing platforms is highly desirable. Familiarity with Amazon Sagemaker is a plus.
• Demonstrated expertise in advanced quantitative modeling using statistical and financial concepts.
• Solid understanding of statistical inference, regression analysis, time series analysis, and machine learning techniques, including an understanding of their assumptions and limitations.
• Proficiency in data analysis and reporting tools such as Excel (advanced functions, pivot tables) or similar BI tools.
• A strong comprehension of core financial concepts such as fixed-income mathematics, risk management principles, and a solid understanding of mortgage industry operations and related businesses is highly recommended.
• Exceptional analytical mindset with the ability to clearly articulate complex quantitative concepts and data-driven recommendations to both technical and non-technical audiences, in written and verbal forms.
• Proven ability to approach complex problems systematically, break them down, and develop innovative and practical solutions.

Why You Should Join

As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported.

Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include:

• 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

To learn more about our benefits visit: https://pennymacnews.page.link/benefits

For residents with state required benefit information, additional information can be found at: https://www.pennymac.com/additional-benefits-information

Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below:

• 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 to employees based on company and individual performance.

Salary

$65,000 - $100,000

Work Model

OFFICE