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Fintech Quant Jobs (NOW HIRING)

Morningstar, Inc.

Lead Quantitative Analyst

Chicago, IL · On-site

$114K - $167K/yr

... complex quant and AI ideas easy to understand and exciting to use. The Requirements: * 4+ years of experience in indexes, asset management, investment banking, fintech, systematic investing ...

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Fintech Quant information

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$98K

$169.7K

$259.5K

How much do fintech quant jobs pay per year?

As of Sep 9, 2026, the average yearly pay for fintech 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.

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Infographic showing various Fintech Quant job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 68% Physical, 7% Hybrid, and 25% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Fintech - Director Quantitative Software Development

New York, NY • On-site

Ashton Lane Group, Inc
See more jobs at Ashton Lane Group, Incexternal

Full-time

Re-posted 11 days ago

Job description

Manage the team responsible for delivery of core algorithms for a technology-enabled investment platform of an innovative wealth manager
 
Responsibilities:
 
  • Manage day to day efforts in delivering investment algorithms and research generated data.
  • Recruit and mentor Quantitative Development team members.
  • Work closely with various stakeholders and technology resources.
  • Lead agile development practices and maintain Jira backlog.
  • Provide hands-on end-to-end development, testing, and maintenance of quantitative code base.
  • Perform code reviews to ensure quality meets highest level of standards.
  • Develop software using high quality standards and best practices, ensure thorough end-to-end unit testing, and provide support during testing and post go-live.
  • Collaborate with product management and technology teams to ensure appropriate requirements, standards, and integration.
  • Participate in building and/or defining Research Data & Quant Compute platforms.
  • Investigate datasets for use in new or existing algorithms.
     
    Requirements:
     
  • Knowledge of wealth management products, tools, and strategies including ETFs, Mutual Funds, Investment Funds, REITs
  • Current/Recent experience leading a quantitative development team
  • Proficiency in computer science, computational mathematics, or financial engineering gained by advanced (MSc or above) academic and/or equivalent work experience
  • Excellent mathematical foundation and hands-on experience working in the finance industry.
  • Strong communication (written and oral) and analytical problem-solving skills.
  • Strong sense of attention to detail, pride in delivering high quality work and willingness to learn.
  • Proficient in Python, Git, Jira, and SQL and database development (PostgreSQL is a plus).
  • Knowledge of databases and quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, Git, Jira, and SQL
  • Experience delivering products using commercial optimizers (Gurobi, CPLEX) is a plus.
     
    For immediate consideration, please forward resume and contact details to: info@ashtonlanegroup.com
     
    Ashton Lane Group is a boutique executive recruitment firm serving the Banking, Insurance, and Alternative Investment sectors. For the latest opportunities, visit www.AshtonLaneGroup.com
     
    Ashton Lane Group® “A trusted advisor throughout your career”