Quantitative Analyst

🕒 March 12

🇺🇸 United States – Remote

💵 $80k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

AmeriSave Mortgage Corporation

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2002

💸 Finance

🏠 Real Estate

Finance • Real Estate

AmeriSave Mortgage Corporation is a leading online mortgage lender offering a variety of home financing solutions, including first and second mortgages, home equity loans, and refinancing options. With 20 years of mortgage experience, AmeriSave has served over 733,603 borrowers across 49 states in the U. S. The company prides itself on providing easy and fast mortgage processes with access to quick quotes and approvals, low rates, and secure rate locks. AmeriSave is committed to helping its clients achieve financial freedom and better financial positions through responsible home equity usage and effective mortgage solutions. The company is well-regarded for its excellent customer service and accessibility, offering support in multiple languages and emphasizing easy online interactions for customer convenience.

📋 Description

• 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 environments. • Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial metrics to detect process deficiencies, performance gaps, and new opportunities to improve revenue and profitability. Develop 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 that enable stakeholders to 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: Write Python scripts to perform statistical analysis, automate data pipelines, and integrate machine learning workflows. Leverage Python for data preparation, model training, and result generation. • Model Validation and Monitoring: Rigorously test, validate, and monitor model performance over time. Develop processes to recalibrate or enhance models as needed to maintain accuracy and business alignment.

🎯 Requirements

• Quantitative Modeling Expertise: 3+ 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. Skilled at 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 • High-speed internet required for remote work, 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).

🏖️ 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