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Remote Risk Quant Jobs in Missouri (NOW HIRING)

Bunge

Data Scientist

Chesterfield, MO · On-site +1

... risk decisions. The team covers global grains, oilseeds, biofuels, ocean freight and livestock. The ... Minimum 2-year of professional experience in a Data Scientist or similar quantitative role ...

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

... risk decisions. The team covers global grains, oilseeds, biofuels, ocean freight and livestock.The ... Minimum 2-year of professional experience in a Data Scientist or similar quantitative role ...

Wood Plc

GIS Analyst - FEMA

Ballwin, MO · Remote

... flood risk analysis, mapping, and related services on Federal Emergency Management Agency (FEMA ... Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ...

Wood Plc

GIS Analyst - FEMA

Kansas City, MO · Remote

... flood risk analysis, mapping, and related services on Federal Emergency Management Agency (FEMA ... Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ...

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Excellent analytical and quantitative skills and able to generate insights from data and translate ...

EXANTE

Remote Responsibilities * Pricing strategy - set and own the pricing strategy across the wealth ... Strong quantitative skills - pricing analytics, segmentation, experimentation and customer ...

Jobgether

$97K - $128K/yr

This is a high-ownership, remote-first opportunity where your work can directly influence how ... Establish robust product metrics and use quantitative analysis to evaluate adoption, conversion ...

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Remote Risk Quant information

What is a remote risk quant?

Remote Risk Quants are quantitative analysts who work remotely to assess, measure, and manage financial risks for organizations. They use mathematical models, statistical techniques, and programming skills to analyze large datasets and forecast potential risks in investments, portfolios, or financial operations. By working remotely, they collaborate with teams using digital communication tools and often have flexible work arrangements. Their expertise is essential for financial institutions, hedge funds, and corporations to make data-driven risk management decisions.

What are some common challenges faced by remote risk quants and how can they be managed effectively?

Remote Risk Quants often encounter challenges such as limited access to real-time data streams, maintaining clear communication with on-site teams, and ensuring data security when working offsite. To manage these effectively, it's important to establish robust digital collaboration practices, utilize secure remote access tools, and maintain regular check-ins with stakeholders. Additionally, being proactive in seeking feedback and clarifications helps mitigate misunderstandings and keeps risk analysis aligned with organizational goals.

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

To thrive as a Remote Risk Quant, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a master's or PhD. Proficiency in programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling tools are crucial. Exceptional problem-solving, attention to detail, and effective remote communication skills set top candidates apart. These abilities are vital for accurately assessing financial risks, developing robust models, and collaborating efficiently within distributed teams.

What is the difference between Remote Risk Quant vs Remote Quantitative Analyst?

AspectRemote Risk QuantRemote Quantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM often preferredSimilar credentials; degrees in math, finance, or engineering; certifications like CFA common
Work EnvironmentFinancial institutions, hedge funds, or risk management firms; primarily analytical and model development rolesFinancial firms, investment banks, or asset management; focus on data analysis and model building
Employer & Industry UsageUsed in risk management, compliance, and regulatory roles within financeUsed in trading, investment analysis, and quantitative research within finance

While both roles require strong quantitative skills and similar educational backgrounds, Remote Risk Quants focus more on assessing and managing financial risks, whereas Remote Quantitative Analysts often concentrate on developing models for trading or investment strategies. The roles overlap but differ mainly in their primary focus within the financial industry.

What are popular job titles related to Remote Risk Quant jobs in Missouri?

For Remote Risk Quant jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Risk Quant jobs in Missouri look for?

The top searched job categories for Remote Risk Quant jobs in Missouri are:

What cities in Missouri are hiring for Remote Risk Quant jobs?

Cities in Missouri with the most Remote Risk Quant job openings:

Remote Risk Quant jobs near you
Infographic showing various Remote Risk Quant job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Remote Actuarial Analyst III - Healthcare Analytics

Altais Inc.

California, MO • Remote

$80K - $120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A healthcare technology company is looking for an Actuarial Analyst III. This role focuses on delivering Medicare risk adjustment estimates and conducting complex revenue analysis. The ideal candidate has a Bachelor's degree in a quantitative discipline and 5+ years of experience in data analysis and actuarial models. This position is remote and offers a salary range of $80,000 - $120,000 per year.

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