The Mortgage Data Scientist will play a critical role in supporting the management and optimization of a mortgage investment portfolio. This individual will be responsible for extracting, analyzing, and synthesizing data to deliver actionable insights that drive performance, mitigate risk, and inform business strategy. This is a high-impact opportunity for a detail-oriented and analytical professional to work at the intersection of data, finance, and operations in a fast-paced environment.
Key Responsibilities
- Manage and validate regulatory data (HMDA, MCRs, state filings) for accuracy and compliance
- Clean and preprocess datasets using Python or R
- Automate data pipelines and reporting workflows (ETL processes)
- Perform statistical analysis, trend evaluation, and predictive modeling
- Build dashboards and visualizations (Tableau, Power BI) to communicate insights
- Conduct A/B testing and root cause analysis on data trends and anomalies
- Support Fair Lending and compliance reviews through data analysis
- Partner cross-functionally to deliver data-driven insights
- Respond to compliance inquiries with data-backed analysis
- Enhance data processes for efficiency, scalability, and accuracy
Qualifications
- Bachelor’s degree in Finance, Data Analytics, Business, Statistics, or a related field (or equivalent experience)
- 3+ years of experience in compliance, data analysis, or a related analytical role within financial services or mortgage industry preferred
- Strong programming skills in Python and SQL, with experience querying databases and automating workflows
- Hands-on experience with data manipulation and analysis tools such as Pandas and NumPy
- Familiarity with ETL processes and tools (e.g., Apache Airflow or similar)
- Knowledge of statistical methods, including hypothesis testing, regression analysis, and exposure to machine learning frameworks (e.g., Scikit-learn, TensorFlow)
- Experience with data visualization tools such as Tableau or Power BI
- Understanding of mortgage compliance regulations (HMDA, Fair Lending, MCRs) is strongly preferred
- Highly analytical with strong problem-solving skills and attention to detail
- Excellent communication skills with the ability to translate complex data into clear, actionable insights
- Naturally curious, proactive, and comfortable working in a fast-evolving environment