What are the responsibilities and job description for the Senior Data Scientist position at National Mortgage Insurance Corporation?
(POSITION OPEN TO REMOTE)
POSITION SUMMARY
National MI is seeking a Senior Data Scientist to enhance and validate advanced predictive models that forecast mortgage defaults, policy cancellations, loan prepayments, and claim payments. The models will inform the company’s budgeting, portfolio review, stress testing, and reserves functions.
Reporting to the Director of Predictive Modeling, the Senior Data Scientist is responsible for model design, feature engineering, model training, backtesting, and model results analysis. The role requires effective cross-team collaboration between Risk, Finance, Data, and Technology.
JOB DUTIES & RESPONSIBILITIES
- Lead end-to-end enhancements of predictive models to forecast mortgage insurance claims and expenses for both existing policies and new insurance written.
- Recommend improvements to existing models and provide data-driven solutions to business problems.
- Write high quality SQL and Python code to prototype and implement models.
- Enhance and implement time-varying features (predictors) such as mark-to-market Loan-to-Value (LTV) ratios and current property values using large, complex data sets.
- Provide expert support and guidance to management on incorporating model results into budgeting, portfolio review, stress testing, and reserves functions.
- Optimize model execution to ensure timely delivery of results from a large portfolio of in-force mortgages.
- Ensure all models comply with internal documentation standards, model governance, change management, and version control policies.
- Enhance and execute ongoing monitoring of model performance, feature drift, and target drift.
SKILLS & KNOWLEDGE
- Bachelor’s degree (or higher) in Data Science, Statistics, Econometrics, or a related field.
- 6 years of experience in financial services and data science, or a related field.
- Strong knowledge of econometric modeling and machine learning applications (e.g., logistic regression, XGBoost, cross-validation, probability calibration).
- Experience using Python, SQL, and GitHub.
- Good written, verbal, and presentation skills for communicating with stakeholders, including senior management and external auditors.
- Experience analyzing single-family loan performance data sets from Fannie Mae, Freddie Mac, or McDash.
- Experience forecasting mortgage payment statuses using a transition matrix model.
- Experience incorporating mortgage rates, regional unemployment rates, and MSA-level home price forecasts into predictive models.
- Experience developing or validating mortgage or consumer lending credit loss models.
- Familiarity with the Single-family FHFA Mortgage Analytics Platform (FMAP)
Base Salary Range: $102,700 - $131,000/year
*Posted Base Salary Range applies to current posting and may change in the future. The posted Base Salary Range may vary for key factors including, but not limited to, location, experience and skill set. Benefit eligibility includes healthcare, life and disability insurance, 401(k), monthly allowance, 20 days of PTO, 10 paid Holidays, and bonus and equity potential. Additional benefit offerings may be found at https://www.nationalmi.com/career-benefits/.
National MI is an Equal Employment Opportunity employer and is committed to a diverse workforce. We value and actively seek to recruit, develop, and retain individuals with varied backgrounds and experiences reflecting the full diversity of the communities that we serve. It is the policy of National MI to comply with all applicable laws concerning the employment of persons with disabilities.
Salary : $102,700 - $131,000
