Remote Quantitative Analyst — Models & Revenue Impact

AmeriSave Mortgage Corp.

United States

Remote

USD 80,000 - 150,000

Full time

14 days+

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Benefits offered by this job

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
Referral bonuses

Job summary

A leading mortgage lender in the United States is seeking a remote Quantitative Analyst to develop and maintain advanced quantitative models. You will analyze business metrics to identify growth opportunities and improve revenue. The ideal candidate will have over 3 years of experience in quantitative modeling, advanced skills in SQL and Python, and a strong analytical background. This role provides a chance to significantly impact the company while working in a fast-paced environment.

Qualifications

  • 3+ years of experience developing statistical, econometric, or machine learning models in a business environment.
  • Ability to independently translate complex business problems into quantitative solutions.
  • Skilled at designing experiments, validating hypotheses, and communicating findings clearly.

Responsibilities

  • Build advanced statistical and quantitative models to support forecasting and risk assessment.
  • Analyze operational and financial metrics to detect process deficiencies and new opportunities.
  • Create and maintain frameworks for tracking and analyzing business performance.

Skills

Quantitative Modeling Expertise
Advanced SQL Skills
Python Proficiency
Analytical Problem Solving
Business Acumen

Education

College degree preferred

Tools

Microsoft SQL Server
Python

Job description

A leading mortgage lender in the United States is seeking a remote Quantitative Analyst to develop and maintain advanced quantitative models. You will analyze business metrics to identify growth opportunities and improve revenue. The ideal candidate will have over 3 years of experience in quantitative modeling, advanced skills in SQL and Python, and a strong analytical background. This role provides a chance to significantly impact the company while working in a fast-paced environment.
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