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Risk Quant Jobs (NOW HIRING)

This role requires strong quantitative acumen, the ability to interpret exposure model outputs, and the skill to translate complex risk analytics into clear narratives for senior management and ...

About the Role Polymarket is building a regulated US exchange, and we're hiring a Quant Risk Manager to anchor the risk function from the ground up. This is not a maintenance role. You'll be ...

Risk Lead

Los Angeles, CA · On-site

$200K - $250K/yr

Position Summary The Risk Lead will direct the TCW's Portfolio Risk Management function within the Investment Risk & Quantitative Research (IRQR) department. Reporting to the Global Head of ...

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Risk Quant information

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$98K

$169.7K

$259.5K

How much do risk quant jobs pay per year?

As of Aug 21, 2026, the average yearly pay for risk quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What does a risk quant do?

A Risk Quant (Risk Quantitative Analyst) is responsible for identifying, measuring, and managing financial risks using mathematical models and statistical techniques. They develop risk models, analyze market and credit risk, and ensure regulatory compliance in financial institutions. Their work involves programming, quantitative finance, and data analysis to assess potential losses and optimize risk strategies. Risk Quants typically work in investment banks, hedge funds, and asset management firms.

What are the key skills and qualifications needed to thrive in the risk quant position, and why are they important?

To thrive as a Risk Quant, you need a solid background in quantitative finance, statistics, mathematics, and advanced analytical skills, typically supported by a relevant degree such as in math, physics, or financial engineering. Expertise in programming languages like Python, R, or C++, familiarity with statistical modeling tools, and knowledge of financial risk management certifications (e.g., FRM or CFA) are highly valued. Strong communication, problem-solving skills, and the ability to work collaboratively with cross-functional teams make someone stand out in this position. These skills are important for accurately assessing complex financial risks, developing effective models, and providing actionable insights within a dynamic financial environment.

How hard is it to become a risk quant?

Becoming a risk quant typically requires a strong background in quantitative finance, mathematics, or engineering, along with programming skills in languages like Python or C++. Many risk quants hold advanced degrees such as a master's or Ph.D. and gain experience through internships or entry-level roles in finance or risk management. The role demands analytical ability, familiarity with risk models, and often certifications like FRM or CFA.
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What are the most commonly searched types of Risk Quant jobs?

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What states have the most Risk Quant jobs?

States with the most job openings for Risk Quant jobs include:

Infographic showing various Risk Quant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Global Head of Capital Markets Risk & Quant Analytics (New York)

Asian Infrastructure Investment Bank

Manhattan, NY • On-site

Full-time

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


Job description

Asian Infrastructure Investment Bank in New York seeks a seasoned Head of Capital Markets Risk and Quantitative Analytics to shape risk strategy, frameworks, and systems for capital markets activities. You will lead a skilled team, oversee models (VaR, ES) and quantify risks across interest rates, FX, and credit spreads, driving scalable analytics infrastructure to support decision making.

The ideal candidate has 10–15 years in finance, a master’s in finance or economics, strong analytical and

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