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Quant Developer Jobs in Missouri (NOW HIRING)

You should possess the following skills: - Should have worked in a project engineer position - Cost and Schedule Metrics - Risk Management (Quantitative Risk Analysis Matrices [QRAMs]) - Scheduling ...

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Quant Developer information

See Missouri salary details

$91.9K

$159.2K

$243.4K

How much do quant developer jobs pay per year?

As of May 29, 2026, the average yearly pay for quant developer in Missouri is $159,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 and $186,700.00 per year, depending on experience, location, and employer.

What is a Quant Developer job?

A Quant Developer (Quantitative Developer) is a software engineer who builds and maintains financial models, trading systems, and analytical tools for quantitative analysts and traders. They use programming languages like Python, C++, or Java to develop algorithms that automate trading strategies, risk analysis, and data processing. Quant Developers typically work in hedge funds, investment banks, or proprietary trading firms, collaborating with quants and portfolio managers to optimize trading performance. Strong mathematical skills, proficiency in financial markets, and expertise in software development are essential for this role.

What are the key skills and qualifications needed to thrive in the Quant Developer position, and why are they important?

To thrive as a Quant Developer, you need advanced programming skills (often in Python, C++, or Java), a strong foundation in mathematics or statistics, and a relevant degree such as in computer science, engineering, or quantitative finance. Expertise in numerical libraries, version control systems like Git, and familiarity with financial modeling tools or industry data feeds is highly valuable. Collaboration, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills for this role. These capabilities are essential for designing robust quantitative models and working effectively with cross-functional teams in fast-paced financial environments.

What are some typical challenges quant developers face in their daily work?

Quant developers often work with large, complex datasets and real-time data streams, which can present technical challenges related to performance, accuracy, and scalability. They may need to continuously adapt to changing market requirements or new financial regulations, requiring staying up to date and learning new tools or methods. Collaboration with quants, traders, and other stakeholders is common, so balancing technical problem-solving with effective communication is also important. These challenges make the role both demanding and intellectually rewarding for those passionate about technology and finance.
What are the most commonly searched types of Quant Developer jobs in Missouri? The most popular types of Quant Developer jobs in Missouri are:
What are popular job titles related to Quant Developer jobs in Missouri? For Quant Developer jobs in Missouri, the most frequently searched job titles are:
Infographic showing various Quant Developer job openings in Missouri as of May 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $159,206 per year, or $76.5 per hour.
Quantitative Fellowship Program - Federal Reserve System

Quantitative Fellowship Program - Federal Reserve System

Federal Reserve Bank of San Francisco

Saint Louis, MO • On-site

Full-time

Posted 11 days ago


Job description

CompanyFederal Reserve Bank of MinneapolisThe QFP is a two-year rotational program designed to develop candidates with strong analytical skills into full-time quantitative analysts within the Federal Reserve System.

Please note - you must have a master's or PhD by July 2026. The remaining position will be located with either the Federal Reserve Bank of Cleveland or the Federal Reserve Bank of Richmond (Charlotte, NC).

The Federal Reserve System, with its Supervision and Regulation function, is at the forefront of overseeing the nation's largest and most complex financial institutions. Contributing to Supervision and Regulation's mission to promote a safe, sound, and efficient banking and financial system that supports the growth and stability of the U.S. economy is a unique opportunity that requires highly analytical and quantitative individuals.

We are seeking such individuals to join the Quantitative Fellowship Program (QFP) and perform in-depth and rigorous assessments of the major risks to which banks and other financial entities are exposed. The QFP provides an opportunity to work in an intellectually stimulating and collaborative environment, to engage in meaningful public service, and to interact with senior experts in both the Federal Reserve System and the firms we oversee. The QFP will provide extensive development opportunities to prepare fellows for a successful career in the Federal Reserve System upon completion of the program.

The QFP is a two-year rotational program designed to develop candidates with strong analytical skills into full-time quantitative analysts within the Federal Reserve System. Fellows will have the opportunity to work on-site at multiple Reserve Banks across the Federal Reserve System, including the Board of Governors location in Washington, D.C. They will interact directly with financial institutions, gain valuable cross-firm perspective on modeling challenges, and be involved in helping senior Federal Reserve officials make informed decisions.

The QFP includes a significant training and professional development component. The program provides experience in a variety of quantitative topics such as stress test modeling, analyzing financial institution portfolios, and model risk management and validation. Program participants who successfully complete the two-year rotation will have the potential to be placed in a full-time quantitative role within the Federal Reserve System.

Required Qualifications:

The QFP is seeking a combination of strong quantitative skills, strategic and creative thinking, excellent communication skills, and the ability to quickly adapt to new and changing regulatory and financial industry environments.

  • A graduate degree in a quantitative discipline such as economics, engineering, mathematics, quantitative finance, statistics, or data science
  • An excellent academic record
  • Experience programming in languages such as Matlab, Python, R, SAS, or Stata
  • Ability to manage and analyze large data sets
  • Experience in developing or validating mathematical or statistical models
  • Ability to present technical issues to nontechnical audiences and to clearly articulate findings verbally and in writing
  • Willingness to travel throughout the duration of the program
  • Meet the Protected Individual requirement. See Note 1.

Notes:

1. This position requires access to confidential supervisory information (CSI) and/or Federal Open Market Committee (FOMC) information. Access to CSI and FOMC information is limited to U.S. citizens, lawful permanent residents, individuals who meet the definition of "protected individual" under 8 U.S.C. 1324b(a)(3), and certain other nonimmigrants. Candidates who are not U.S. citizens must sign a declaration of intent to expeditiously become a U.S. citizen when eligible.

2. Compensation and benefits may vary by home-base location. While we try to accommodate requests, preferred home-base location is not guaranteed.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryData Analytics Family Group, Economics/Research Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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