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Remote Quant Jobs (NOW HIRING)

Rainbook

The Quantitative Analyst role will dive deep into portfolio analytics and Fund Analysis while also conducting data integrity testing. Portfolio Analytics includes, but not limited to: Exposure ...

Databento

Quantitative Sales

Chicago, IL · Remote

We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. Responsibilities As a Quantitative Sales Associate, you will oversee the full scope of sales ...

Databento

Quantitative Sales

San Francisco, CA · On-site +1

We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. Responsibilities As a Quantitative Sales Associate, you will oversee the full scope of sales ...

PrizePicks

Lead Quantitative UX Researcher

Atlanta, GA · On-site +1

$150K - $185K/yr

In this role, you will own the quantitative research strategy for major product areas, conducting ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Collectorsuniverse

Lead Quantitative Scientist

OR · On-site +1

For remote roles, and at our discretion, candidates may be asked to participate in an on-site ... We're looking for a Lead Quantitative Scientist to build and lead the quantitative modeling ...

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How much do remote quant jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Quant vs Remote Data Scientist?

AspectRemote QuantRemote Data Scientist
Required credentialsAdvanced degrees in quantitative fields, such as Math, Physics, or FinanceDegrees in Computer Science, Statistics, or related fields
Work environmentFinancial firms, hedge funds, or trading companiesTech companies, startups, or research organizations
Employer usageUsed for developing trading algorithms and risk modelsUsed for analyzing data, building predictive models, and deriving insights

Remote Quants focus on developing quantitative models for finance and trading, often requiring advanced math and finance knowledge. Remote Data Scientists analyze large datasets to extract insights, typically with a background in computer science or statistics. While both roles involve data analysis, Quants are more finance and algorithm-focused, whereas Data Scientists have a broader application scope across industries.

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What cities are hiring for Remote Quant jobs? Cities with the most Remote Quant job openings:
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Remote Quant jobs near you
Infographic showing various Remote Quant job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Senior Quantitative Analyst

Senior Quantitative Analyst

AmeriSave Mortgage Corp.

Charleston, WV • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

AmeriSave Mortgage has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. We leverage cutting-edge technology and data-driven strategies to provide exceptional service to our customers.
 
Our employees are the driving force behind our success. 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. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.
At AmeriSave, we're one team with one shared dream - to be the best.  Let’s redefine excellence together!
What We’re Looking For:
We are seeking a Quantitative Analyst to join the Enterprise Intelligence team. This fully remote role will focus on developing and maintaining sophisticated quantitative models and conducting deep analysis of business metrics to uncover deficiencies and opportunities that drive revenue and profit.
This is a fast-paced, high-ownership environment where ideas move quickly from concept to production. You will work on projects that are not only technically challenging but also highly visible and business-critical, delivering tangible impact across the organization. Analysts are empowered to take initiative, think creatively, and solve hard problems—resulting in deeply rewarding and high-leverage contributions that drive revenue and profit for the company.
What You’ll Do: 
  • 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.
What You’ll Need:
  • 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. 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).
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**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **  
  
Compensation: 
Annual compensation for this position generally ranges from $130,000 - $150,000. 
 
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 
  
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act Disclosure Acknowledgment 
Employment Applicants, New Hires, and Employees Residing in California 
  
AmeriSave Mortgage Corporation’s Privacy Policy Statement (“Policy”) can be reviewed here: www.amerisave.com/privacy-policy 
  
AmeriSave Mortgage Corporation’s California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/ 
  
When AmeriSave’s Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.