Senior Quantitative Analyst - Mortgage Operations

Overview

This fully remote role is for a Quantitative Analyst focused on developing and maintaining quantitative models and conducting in-depth analysis of business metrics. The work supports identifying deficiencies and opportunities that drive revenue and profit in a fast-paced, high-ownership environment.

Responsibilities

• Design and develop quantitative models: Build advanced statistical and quantitative models to support forecasting, pricing optimization, and risk assessment. Ensure models are efficient, transparent, and suitable for deployment in production.
• Analyze business metrics and identify opportunities: Analyze operational and financial metrics to detect process deficiencies, performance gaps, and opportunities to improve revenue and profitability. Produce actionable recommendations and partner with business leaders to prioritize and implement improvements.
• Data-driven performance measurement: Create and maintain frameworks for tracking and analyzing business performance across the mortgage lifecycle. Develop metrics, dashboards, and automated reports so stakeholders can monitor progress and act on insights.
• SQL-based analytics solutions: Author and optimize complex T-SQL code to extract, transform, and analyze large volumes of production data. Develop stored procedures and workflows that operationalize model outputs and support business monitoring.
• Python modeling and automation: Use Python for statistical analysis, automated data pipelines, and integration of machine learning workflows. Support data preparation, model training, and result generation.
• Model validation and monitoring: Test, validate, and monitor model performance over time. Develop processes to recalibrate or enhance models to maintain accuracy and alignment with business needs.

Requirements

• Quantitative modeling expertise: 5+ years of experience developing statistical, econometric, or machine learning models in a business environment.
• Advanced SQL skills: Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server.
• Python proficiency: Strong experience with Python for data analysis, statistical modeling, and process automation.
• Analytical problem solving: Ability to independently translate complex business problems into quantitative solutions; experience designing experiments, validating hypotheses, and communicating findings clearly.
• Business acumen: Experience evaluating business metrics and KPIs to identify revenue and profit improvement opportunities, operational inefficiencies, and performance trends.
• College degree preferred

Compensation & Benefits

• Annual compensation: $130,000 - $150,000 (generally)
• Benefits:
  • 401(k)
  • Dental insurance
  • Disability insurance
  • Employee discounts
  • Health insurance
  • Life insurance
  • Paid time off
  • 12 paid holidays per year
  • Paid training
  • Referral program
  • Vision insurance
• Supplemental pay types:
  • Referral bonuses

Location

• Fully remote role
• High-speed internet required:
  • Cable or Fiber ONLY with the ability to connect via Ethernet
  • Minimum speeds:
    • 70/30 Mbps (basic)
    • 200-300/35-70 Mbps (shared)
    • 500-1,000/100+ Mbps (heavy use)

Equal Opportunity

The employer is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.