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Quant Analyst Jobs in Missouri (NOW HIRING)

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 ...

Business Analyst

California, MO ยท On-site

$25 - $27/hr

Duties and Responsibilities Ability to perform moderately complex quantitative analyst with gathered document for the purpose of analyzing and drawing conclusions on the data and information Review ...

Business Analyst

California, MO ยท On-site

$25 - $27/hr

Duties and Responsibilities Ability to perform moderately complex quantitative analyst with gathered document for the purpose of analyzing and drawing conclusions on the data and information Review ...

* 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

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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 31, 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 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 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 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.

Do quant analysts get paid a lot?

Quant analysts typically earn high salaries due to their specialized skills in mathematics, programming, and financial modeling. Compensation often includes base pay, bonuses, and profit-sharing, reflecting the demand for their expertise in finance and investment firms.

What do you do as a quant analyst?

A quant analyst develops and implements 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 trends, assess risk, and optimize portfolios. Strong analytical skills and knowledge of finance and mathematics are essential for this role.

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 August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 79% Physical, 9% Hybrid, and 12% Remote job distribution, with an average salary of $125,577 per year, or $60.4 per hour.

Quantitative Trading Analyst, Portfolio Management

Saint Louis, MO โ€ข On-site

NISA Investment Advisors, LLC
Finance and Insuranceย โ€ขย 201 - 500 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

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
Working at the intersection of finance and technology, the Quantitative Trading Analyst will participate in a two-year program, starting June 2027, within NISA's Portfolio Management Department. The Analyst will gain foundational knowledge and understanding of broad asset classes and financial instruments. The Analyst will build upon this foundational knowledge and focus on learning the fundamentals of quantitative investment tools including portfolio construction, risk models, portfolio optimization and quantitative trading signals.
Over time, the Quantitative Trading Analyst contributes to the department by improving existing tools and building new ones. The Analyst works with senior members of the Portfolio Management 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. Working in a fast-paced and collaborative environment, the Analyst gains knowledge and experience through formal and informal training.
Qualifications
โ€ข Spring 2027 Bachelor's or Master's degree in a field requiring strong analytical and quantitative skills such as Mathematics, Physics, Computer Science, or Statistics
โ€ข Candidates must have a strong academic background, and possess a high degree of aptitude in quantitative and analytical thinking
โ€ข Proficient in techniques and technologies related to quantitative/statistical analysis (Python, R, C/C++/C#, Java), data management (SQL), and Excel
โ€ข Experience with statistical and/or mathematical modeling
โ€ข The candidate should be highly curious and comfortable dealing with unstructured problems
โ€ข Excellent communication skills
โ€ข Ability to work successfully in a team environment
โ€ข 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.