PENNYMAC

Pennymac (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.

Job Overview

Member of a team with a focus on innovation and process improvement through technology and analytics. Primary responsibilities include utilizing business analysis and data science techniques to identify opportunities to improve efficiency, drive strategy and to implement solutions through process engineering, automation and alternative/emerging technologies. Team members will also help drive strategic technology initiatives and act as a liaison between core IT functions and business leadership along with providing general analytics and reporting support.

A Typical Day

As the Business Analyst, you will support daily operations as well as strategic initiatives, mainly through reporting and analytics routines. Daily operations include a mix of recurring or structured report production as well as ad hoc. While this role requires a technical skill set, problem solving skills and a willingness to learn are significant drivers of success.

The Business Support Analyst will:

• Perform analysis and produce reporting on routine and ad-hoc basis
• Understand, interpret, and present recommendations for action based on a data-driven analytics
• Identify and develop automation processes to improve efficiency
• Build and deploy statistical or machine learning models
• Assist in the development and testing of proof of concept technology projects
• Provide general reporting and analytics support to business leaders

What You’ll Bring

• Technology, Mathematics, Finance or Economics background preferred
• Understanding of how to extract, manipulate and analyze data from various sources (SQL experience is a plus)
• Experience with statistical or data science tools (R, Python, SAS, etc.)
• Experience or aptitude for programming (Python, Java, etc) 
• Familiarity with AWS, Snowflake, Tableau is a plus
• Demonstrate ability to provide and implement a solution to a problem articulated by management
• Ability to communicate key concepts in analytics and technology effectively

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

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

Work Model