AmeriSave Mortgage Corporation is hiring a Quantitative Analyst to join our Enterprise Intelligence team. This fully remote role focuses on developing and maintaining sophisticated quantitative models and conducting deep analysis of business metrics to uncover deficiencies and opportunities that drive revenue and profit.
What You'll Do
- Build advanced statistical and quantitative models to support forecasting, pricing optimization, and risk assessment.
- Rigorously analyze operational and financial metrics to detect process deficiencies, performance gaps, and new opportunities to improve revenue and profitability.
- Create and maintain frameworks for tracking and analyzing business performance across the mortgage lifecycle.
- Author and optimize complex T-SQL code to extract, transform, and analyze large volumes of production data.
- Write Python scripts to perform statistical analysis, automate data pipelines, and integrate machine learning workflows.
- Rigorously test, validate, and monitor model performance over time.
What We're Looking For
- 3+ years of experience developing statistical, econometric, or machine learning models in a business environment.
- Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server.
- Strong experience with Python for data analysis, statistical modeling, and process automation.
- Ability to independently translate complex business problems into quantitative solutions.
- Experience evaluating business metrics and KPIs to identify revenue and profit improvement opportunities, operational inefficiencies, and performance trends.
Nice to Have
- College degree preferred.
Technical Stack
- T-SQL
- Microsoft SQL Server
- Python
Team & Environment
You will be joining the Enterprise Intelligence team.
Benefits & Compensation
- Compensation range: $80,000 - $150,000
Work Mode
This is a fully remote position.
At AmeriSave, we believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they’re celebrated. We're one team with one shared dream - to be the best.
