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Associate Quantitative Risk Analyst Jobs (NOW HIRING)

DTCC

Quantitative Risk Senior Associate

Jersey City, NJ · On-site

QRM also carries out quantitative analysis and other analytical support to firms' risk management and other business needs. Quantitative Risk Management (QRM) is responsible for the development and ...

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How much do associate quantitative risk analyst jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for associate quantitative risk analyst in the United States is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $49.28 per hour, depending on experience, location, and employer.

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an Associate Quantitative Risk Analyst, and why are they important?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
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Associate Quantitative Risk Analyst jobs near you
Infographic showing various Associate Quantitative Risk Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $84,210 per year, or $40.5 per hour.
Asset & Wealth Management-New York-Associate, Quantitative Engineering-3851607

Asset & Wealth Management-New York-Associate, Quantitative Engineering-3851607

Goldman Sachs

New York, NY • On-site

$113K - $155K/yr

Other

Re-posted 2 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 148 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs Services LLC in New York, New York. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Computational Finance, Mathematics, or related field and one (1) year of experience in job offered or a related role OR Bachelor's degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Computational Finance, Mathematics, or related field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year of experience (with a Master's degree) OR three (3) years of experience (with a Bachelor's degree) with: C++, Java, or Python; Performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; Statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance; working closely with portfolio managers to build quantitative models and tools to streamline portfolio management process; developing sustainable production systems; and developing quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve the portfolio construction process and improve portfolio performance.

Salary Range: Annual base salary for this New York, New York-based position is $113,000 - $155,600.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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