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Quantitative Jobs in Missouri (NOW HIRING)

Quantitative Model Analyst 2

Earth City, MO ยท On-site

$92K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Basic Qualifications - Bachelor's degree in a quantitative field, and three or more years of relevant experience OR - MA/MS in a quantitative field, and less than three years of related experience ...

* 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

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

Regulatory Compliance Lead

California, MO ยท On-site

$150 - $190/hr

Bachelor's degree in engineering, computer science, statistics, or a related quantitative field * 5+ years of experience in regulatory affairs within the medical device, digital health, or life ...

Data Scientist, Level 4

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

Develop and optimize pulse sequences for low-field and experimental MRI, including approaches for relaxation mapping, diffusion, susceptibility, flow, and quantitative tissue-state imaging * Build ...

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Showing results 1-20

Quantitative information

See Missouri salary details

$29.1K

$85K

$136.9K

How much do quantitative jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quantitative in Missouri is $84,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $111,600.00 per year, depending on experience, location, and employer.

What is a quantitative job?

Quantitative jobs, often referred to as 'Quant' roles, involve the application of mathematical, statistical, and computational techniques to analyze data and solve complex problems, particularly in finance, investment banking, and technology sectors. Professionals in these roles develop and implement models to inform trading strategies, manage risk, or optimize investment portfolios. Quants typically have strong backgrounds in mathematics, statistics, computer science, or engineering and use programming languages such as Python, R, or C++. These positions are highly analytical and require a deep understanding of financial markets, data analysis, and quantitative modeling.

What are the key skills and qualifications needed to thrive as a quantitative analyst?

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and analytical skills, usually supported by a degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python or R, experience with data analysis tools, and familiarity with financial modeling platforms are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help individuals excel in this role. These competencies are crucial for developing accurate models, interpreting complex data, and driving data-driven decisions in finance and business.

What are some common challenges faced by quantitative analysts when working with large datasets in finance?

Quantitative analysts often deal with vast and complex datasets, which can present challenges such as data quality issues, integration of disparate data sources, and ensuring computational efficiency. Successfully cleaning and validating data is essential to produce reliable models. Additionally, quant analysts must stay updated with the latest programming tools and statistical techniques to optimize data processing and derive meaningful insights, often collaborating closely with IT and software engineering teams to implement scalable solutions.

What is the difference between Quantitative vs Quantitative Analyst?

AspectQuantitativeQuantitative Analyst
Required CredentialsMathematics, statistics, or related degreesMathematics, statistics, or finance certifications
Work EnvironmentResearch, data analysis, modelingFinancial firms, investment banks, hedge funds
Industry UsageBroadly used in finance, tech, researchPrimarily in finance and investment sectors
Common Search IntentGeneral quantitative rolesSpecific finance-focused roles

Quantitative refers broadly to roles involving mathematical and statistical analysis across various industries. A Quantitative Analyst, however, is a specialized role within finance that applies quantitative methods to develop trading strategies, risk management, and financial modeling. While both share similar credentials and work environments, the analyst role is more industry-specific, focusing on financial markets and investment decision-making.

What are the most commonly searched types of Quantitative jobs in Missouri?

The most popular types of Quantitative jobs in Missouri are:

What cities in Missouri are hiring for Quantitative jobs?

Cities in Missouri with the most Quantitative job openings:

Infographic showing various Quantitative job openings in Missouri as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $84,964 per year, or $40.8 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

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


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.