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Quant Analyst Jobs in Missouri (NOW HIRING)

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Data Analyst

Kansas City, MO ยท On-site

$65K - $85K/yr

This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well ...

Senior Data Scientist

California, MO ยท On-site

$120 - $180/hr

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

Conducting qualitative and quantitative analysis related program efficiencies, cost effectiveness, benefits, risks and resource allocations. Participating in working groups to identify program ...

Conducting qualitative and quantitative analysis related program efficiencies, cost effectiveness, benefits, risks and resource allocations. Participating in working groups to identify program ...

Conducting qualitative and quantitative analysis related program efficiencies, cost effectiveness, benefits, risks and resource allocations. Participating in working groups to identify program ...

Conducting qualitative and quantitative analysis related program efficiencies, cost effectiveness, benefits, risks and resource allocations. Participating in working groups to identify program ...

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Quant Analyst information

See Missouri salary details

$53K

$125.6K

$225.1K

How much do quant analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for quant analyst in Missouri is $125,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $136,500.00 per year, depending on experience, location, and employer.

What are typical challenges a quant analyst faces when collaborating with traders and software developers?

Quant Analysts often work closely with traders to translate complex market concepts into mathematical models and with developers to implement these models into trading platforms. One common challenge is ensuring clear communication across these teams, as traders may focus on market intuition while developers require precise technical details. Bridging the gap between theory and practical application can also be demanding, requiring flexibility and strong problem-solving skills. Successfully overcoming these challenges can lead to more robust trading strategies and smoother workflow integration.

What is the difference between Quant Analyst vs Data Analyst?

AspectQuant AnalystData Analyst
Required CredentialsDegree in finance, mathematics, or related field; often requires programming skillsDegree in statistics, business, or related field; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Employer & Industry UsagePrimarily in finance and trading sectorsAcross various industries for data interpretation and reporting

While both roles analyze data, Quant Analysts focus on financial modeling and trading strategies, often requiring advanced quantitative skills and programming. Data Analysts interpret data to support business decisions across industries. The roles overlap in data handling but differ in industry focus and complexity.

What is a quant analyst?

Quant Analysts, short for quantitative analysts, are professionals who use mathematical models, statistics, and computer science to analyze financial data and help organizations make investment decisions. They work in areas such as risk management, derivative pricing, portfolio management, and algorithmic trading. Quant Analysts often develop complex models to identify trends, value securities, and manage financial risk. Their work is essential in banks, hedge funds, asset management firms, and financial technology companies.

What do you do as a quantitative analyst?

A quantitative analyst, or quant, develops mathematical models to analyze financial data and inform investment decisions. They use programming languages like Python or R, and tools such as Excel and statistical software, to identify patterns and manage risk in trading strategies. Strong analytical skills and knowledge of finance and mathematics are essential for this role.

Is a quant analyst high paying?

Quant analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes bonuses and incentives, especially in investment firms and hedge funds, reflecting the high demand for their expertise.

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

To thrive as a Quant Analyst, you need strong quantitative, statistical, and programming skills, often backed by a degree in mathematics, finance, computer science, or a related field. Familiarity with tools such as Python, R, MATLAB, SQL, and knowledge of financial modeling platforms or risk management systems is essential. Analytical thinking, problem-solving ability, and effective communication are key soft skills that distinguish top performers. These competencies enable accurate data analysis, development of robust financial models, and clear presentation of complex findings to stakeholders.
What are the most commonly searched types of Quant Analyst jobs in Missouri? The most popular types of Quant Analyst jobs in Missouri are:
What are popular job titles related to Quant Analyst jobs in Missouri? For Quant Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Quant Analyst jobs in Missouri look for? The top searched job categories for Quant Analyst jobs in Missouri are:
What cities in Missouri are hiring for Quant Analyst jobs? Cities in Missouri with the most Quant Analyst job openings:
Infographic showing various Quant Analyst job openings in Missouri as of July 2026, with employment types broken down into 84% Full Time, 10% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $125,577 per year, or $60.4 per hour.

Derivatives Quantitative Trading Analyst, Portfolio Management

NISA Investment Advisors, LLC

Clayton, MO โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Derivatives Quantitative Trading Analyst, Portfolio Management
Overview

NISA Investment Advisors, LLC (NISA) partners with world-leading organizations to design, develop, and manage highly customized, risk-controlled investment strategies across fixed income, equities, and derivatives. With $483 billion assets under management ($299 billion in physical assets and $184 billion in derivatives notional value), NISA actively manages risk for institutional investors, providing clarity to complicated challenges and stability in ever-evolving markets. At NISA, we foster a culture that supports both personal and professional growth, providing opportunities to learn from experienced professionals while contributing meaningful work from the outset. We seek candidates who demonstrate strong quantitative and analytical skills, intellectual curiosity, and a collaborative mindset to join our growing teams.

Responsibilities

As a member of NISA's Derivatives Portfolio Management team, the Derivatives Quantitative Trading Analyst plays a key role in constructing and managing customized portfolios for some of the world's largest institutional investors. The Analyst will build a strong foundation in financial markets, portfolio management and cross-asset trading, gaining exposure to both exchange-traded and over-the-counter derivatives instruments. Working at the intersection of finance and technology, the Analyst will focus on learning the fundamentals of quantitative investment tools including portfolio construction, risk models, portfolio optimization and quantitative trading signals.

Over time, the Derivatives Quantitative Trading Analyst will contribute to the development and enhancement of the tools and technologies that support NISA's derivative investment process. The Analyst will work with senior members of the Derivatives team to leverage and incorporate these quantitative tools and methods into the investment process, systematically building individualized portfolios to meet clients' varied risk and return objectives. Strategic derivative implementation at NISA demands both an operational expertise and the commitment of highly engaged investment professionals, supported by dedicated technology and talent.

Qualifications
    Bachelor's or Master's degree in a field requiring strong analytical and quantitative skills such as Mathematics, Physics, Computer Science, or Statistics
  • Asset management experience preferred (1-3 years)
  • Candidates must have a strong academic background, and possess a high degree of aptitude in quantitative and analytical thinking
  • Proficient in techniques and technologies related to quantitative/statistical analysis (Python, R, C/C++/C#, Java), data management (SQL), and Excel
  • Experience with statistical and/or mathematical modeling
  • The candidate should be highly curious and comfortable dealing with unstructured problems
  • Excellent communication skills
  • Ability to work successfully in a team environment
  • Drive to perform at a high level under pressure and time constraints

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.