Join a high-impact team shaping data strategy in a fast-moving environment. As a Quantitative Analyst, you'll develop and manage advanced models that inform pricing, forecasting, and risk—directly influencing revenue and operational performance. Working remotely, you'll collaborate across functions to turn data into strategic action.
What You’ll Do
- Build and maintain statistical and machine learning models to support business forecasting, pricing strategies, and risk evaluation
- Ensure modeling solutions are efficient, interpretable, and ready for integration into live systems
- Investigate financial and operational data to uncover inefficiencies, performance trends, and growth opportunities
- Deliver clear, data-backed recommendations and work with leadership to prioritize execution
- Construct frameworks for monitoring performance across key stages of the mortgage process
- Design dashboards and automated reporting tools that help teams track progress and respond quickly
- Write and optimize T-SQL scripts to extract, clean, and analyze large-scale production databases
- Create stored procedures and workflows that embed model outputs into business operations
- Develop Python code for statistical analysis, data transformation, and machine learning integration
- Train, validate, and continuously monitor model performance, updating as needed to maintain accuracy
What We’re Looking For
- At least 3 years of experience building statistical, econometric, or ML models in a business context
- Proficiency with advanced T-SQL, including stored procedures and data manipulation in Microsoft SQL Server
- Strong Python skills applied to data analysis, modeling, and automation
- Ability to independently define quantitative approaches to complex business problems
- Experience testing hypotheses, designing studies, and presenting findings effectively
- Track record of using KPIs and metrics to identify profit levers and operational gaps
- Reliable high-speed internet: minimum 70/30 Mbps (basic), up to 1,000/100+ Mbps for heavy usage
- Hardwired Ethernet connection required—Cable or Fiber only
Preferred Background
- Degree in a quantitative field is a plus
Technology Environment
Python, T-SQL, Microsoft SQL Server, statistical modeling, machine learning pipelines, automated reporting, and dashboard development.
Benefits & Support
- Health, dental, and vision insurance
- Life and disability coverage
- 401(k) with company match
- Paid time off and 12 paid holidays annually
- Employee and referral bonuses
- Discount programs and professional development funding
Compensation
Annual salary range: $80,000 – $150,000. Role is fully remote with no geographic restrictions.
Our Culture
We operate as one team driven by excellence, integrity, and shared purpose. You’ll have the autonomy to lead initiatives, solve difficult problems, and contribute meaningfully in an environment that values growth and accountability. Everyone’s impact is visible and recognized.
Equal Opportunity
We are committed to fair and inclusive hiring. Employment decisions are made without regard to race, religion, age, gender, sexual orientation, veteran status, or disability.
