Overview
This role is for a Pricing Analyst III with strong experience in Credit/Mortgage Insurance Pricing, Portfolio Risk Attribution, and Credit Risk Transfer Securitizations. The position involves developing and presenting ad-hoc financial and quantitative analyses to senior leadership. It requires a high degree of autonomy and includes responsibilities such as developing new pricing and return models, analyzing market trends, and managing databases.
Responsibilities
- Develop and enhance pricing analytics using SAS, Python, Excel, and Tableau related to projected portfolio returns, risk concentration, and CRT performance.
- Present findings regularly to senior leadership to influence pricing decisions.
- Create bespoke mortgage insurance rate card pricing using competitive intelligence, return thresholds, and desired portfolio composition to optimize capital deployment.
- Perform ad hoc analyses related to mortgage insurance pricing, CRT portfolio analysis, and competitive analysis.
- Conduct competitive position analytics to adjust pricing and maintain desired market share.
- Collect and maintain mortgage insurance pricing intelligence through database development.
- Assist in researching and implementing market data and variables to improve pricing and financial forecasts.
- Perform other duties as assigned.
Requirements
- Bachelor's degree or equivalent experience.
- Minimum of 4 years of relevant work experience.
- Analytical experience in mortgage banking, reinsurance, or financial services preferred.
- Advanced proficiency in Python, SAS, or SQL; experience with Snowflake and AWS or similar platforms.
- Experience with data visualization tools such as Tableau or Power BI.
- Strong understanding of pricing, valuation, and return on capital (ROC) concepts and methods.
- Ability to prioritize and manage multiple tasks under deadlines.
- Experience manipulating large data sets.
- Attention to detail with strong organizational and analytical problem-solving skills.
- Strong aptitude for analytics and ability to derive insights from large financial data sets.
- Excellent oral and written communication skills with the ability to quickly absorb information.
- Critical thinking skills.
- High proficiency with Microsoft Office, especially Excel.
- Self-motivated and able to work independently as well as collaboratively.
- Intellectual curiosity and willingness to challenge traditional approaches.
- Interest in learning and applying advanced analytical and statistical methods.
- Demonstrated track record of success and continuous knowledge growth.
Compensation & Benefits
- Anticipated base salary range: $80,000 to $120,000, based on skills and experience.
- Eligibility to participate in an annual incentive program.
- 20 days of paid time off annually (prorated based on hire date).
- 9 paid holidays plus 2 floating holidays.
- Parental leave available.
- Comprehensive health benefits including multiple medical plan options (HSA and FSA), dental, vision, and basic life insurance.
- 401(k) plan with a top-of-market company match, immediately vested.
- Opportunity to participate in an Employee Stock Purchase Plan (ESPP).
- Homebuyer perks program to assist with home searching, buying, selling, and refinancing.
Location
Not specified.
Additional Information
- The application period is approximately 20 days from the job posting date but may be adjusted based on business needs and candidate availability.
- Employment consideration includes qualified applicants with arrest or conviction records in compliance with applicable laws.
- The employer is an equal opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination.
- Applicants may redact or remove age-related information from application materials.
- Accommodation is available for applicants during the application and interview process upon request.