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Quantitative Risk Analyst Jobs (NOW HIRING)

Junior Margin/Risk Analyst

New York, NY · On-site +1

$75K - $125K/yr

Conduct regulatory compliance reviews and reporting. * Assist with quantitative risk assessments ... Excellent analytical skills with strong attention to detail; familiarity with Excel, VBA, SQL a ...

Model Risk Analyst

Irvine, CA · On-site

$85K - $95K/yr

The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ... A minimum of one year of experience in model development, model validation, quantitative risk ...

Model Risk Analyst

Denver, CO · On-site

$85K - $95K/yr

The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ... A minimum of one year of experience in model development, model validation, quantitative risk ...

The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ... A minimum of one year of experience in model development, model validation, quantitative risk ...

The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ... A minimum of one year of experience in model development, model validation, quantitative risk ...

The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ... A minimum of one year of experience in model development, model validation, quantitative risk ...

Model Risk Analyst

Denver, CO · Hybrid

$85K - $95K/yr

The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ... A minimum of one year of experience in model development, model validation, quantitative risk ...

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Quantitative Risk Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative risk analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for quantitative risk analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.

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

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

More about Quantitative Risk Analyst jobs
What cities are hiring for Quantitative Risk Analyst jobs? Cities with the most Quantitative Risk Analyst job openings:
What are the most commonly searched types of Quantitative Risk Analyst jobs? The most popular types of Quantitative Risk Analyst jobs are:
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What states have the most Quantitative Risk Analyst jobs? States with the most job openings for Quantitative Risk Analyst jobs include:
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Senior Quantitative Risk Analyst- Buffalo NY

Senior Quantitative Risk Analyst- Buffalo NY

M&T Bank

Buffalo, NY • On-site, Remote

$85.80K - $143K/yr

Full-time

Posted 2 days ago


M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

66th of 141 rated banks


Job description

This position is located in Buffalo NY (4 days in office/ 1 day remote)

Sponsorship is not available for this position under any circumstance. Candidates who require sponsorship now or in the future-including all F1 visa holders (CPT, OPT, and STEM OPT)-will not be considered for this role.

Overview:

Perform advanced data and statistical analysis in support of the creation and maintenance of statistical models, including Regression and Multivariate models. Support unit (dept.) in data analysis and model construction.

Primary Responsibilities:
  • Assist in establishing, monitoring, evaluating and interpreting data with a risk management focus with an understanding of business strategy.
  • Demonstrated working knowledge of Credit Risk databases to provide data and analytical support to Senior Management.
  • Perform data manipulation and analysis using SQL, SAS and Microsoft Excel , Tableau and present results and recommendations to Credit Risk Management.
  • Track portfolio performance and risk strategy results. Incorporate observations and data in to existing models to improve predictive results.
  • Identify deviations from forecast/expectations and explain variances. Identify risk and/or opportunities.
  • Provide guidance and direction to lower level analysts regarding all aspects of data analysis and the construction of predictive statistical models.
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  • Complete other related duties as assigned.
Education and Experience Required:

Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline,
OR in lieu of degree,
A combined minimum of 7 years higher education and/or work experience to include a minimum of 3 years relevant experience.
-OR-
Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 1 year relevant experience,
OR in lieu of degree,
A combined minimum of 7 years higher education and/or work experience to include a minimum of 1 year relevant experience.
Minimum of 3 years relevant experience
Banking or Financial Services experience. Credit Analysis experience preferred. Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages.
Advanced Knowledge of SQL and Microsoft Office.
Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Demonstrated ability to communicate complex concepts.
Demonstrated ability to manipulate and analyze data across large databases.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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