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Quant Engineer Jobs in Missouri (NOW HIRING)

DataAnnotation

AI-Driven Quant Trader

California, MO · Remote

$60/hr

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 ...

Jobgether

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

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Quant Engineer information

What are the key skills and qualifications needed to thrive as a Quant Engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

How do Quant Engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What are Quant Engineers?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

What are popular job titles related to Quant Engineer jobs in Missouri? For Quant Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in Missouri look for? The top searched job categories for Quant Engineer jobs in Missouri are:
What cities in Missouri are hiring for Quant Engineer jobs? Cities in Missouri with the most Quant Engineer job openings:
Quant Engineer jobs near you
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.

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