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Quant Developer Jobs in Missouri (NOW HIRING)

A forward-thinking AI development team seeks quantitative professionals to evaluate AI-generated work, contribute to model improvement, and perform statistical analysis. This fully remote role offers ...

You will work at the intersection of quantitative research, financial engineering, and data architecture, helping create transparent and reliable market signals for sophisticated institutional ...

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

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Quant Developer information

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$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.
Senior Software Engineer- Quantitative Developer, Information Technology

Senior Software Engineer- Quantitative Developer, Information Technology

NISA Investment Advisors, LLC

Clayton, MO

$114.50K - $151K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Senior Software Engineer- Quantitative Developer, Information Technology
Overview

NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $295 billion in fixed income and equity securities and over $167 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking skills, strong analytical and quantitative skills, and team playing abilities are encouraged to apply.

Responsibilities

As a Senior Software Engineer- Quantitative Developer in the Investment Risk and Analytics team, you will design and build the infrastructure that powers NISA's analytics and quantitative research workflows. Working closely with portfolio analysts, traders, and quant researchers, you will develop the tooling behind feature engineering frameworks, backtesting infrastructure, and model deployment - enabling the research team to move faster and with greater confidence. You will also work with teams to develop the core analytical systems to support risk and valuation tools. As a senior member of the Investment Risk and Analytics team within NISA's IT department, you will lead development efforts, participate in design and code reviews, collaborate with other teams, and mentor junior teammates.

Qualifications
    Bachelor's degree or equivalent experience in a field requiring strong analytical and quantitative skills, such as Computer Science, Engineering, Mathematics, Finance, or Information Systems
  • 5+ years of development experience including 3+ years of using Python (expertise in other high-level languages considered)
  • Experience designing queries and data structures to support and manage analytical model development
  • Experience collaborating with quantitative researchers, data scientists, or similar technical stakeholders
  • Ability to analyze results and detect data quality issues and their root causes
  • Experience building solutions using public cloud platforms (AWS, Azure, GCP) preferred
  • Familiarity with quantitative finance workflows - backtesting, feature engineering, factor research, or portfolio analytics is a plus
  • Experience with unit testing and CI/CD practices preferred
  • Familiarity with data science is a plus
  • Working knowledge of modern application frameworks is a plus
  • Previous professional experience in financial services sector is a plus

NISA's culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including health, dental, vision and life insurance options, paid time off, a competitive retirement plan, onsite cafeteria, fitness center, a health and wellness program and an educational assistance program.

NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.