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Quantitative Risk Analyst Jobs (NOW HIRING)

This role is responsible for building risk frameworks, conducting quantitative analysis, monitoring exposures, validating controls, and delivering actionable insights to leadership. The ideal ...

$200 - $250/hr

Build quantitative risk models for perpetuals and commodity derivatives, covering margin requirements, position limits, and tail risk across normal and stressed market conditions. * Design and ...

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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 Sep 8, 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 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 are the key skills and qualifications needed to thrive as a quantitative risk analyst?

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 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.

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Infographic showing various Quantitative Risk Analyst job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Risk Analyst, Model Risk Management, Assistant Vice President

Boston, MA • On-site

State Street Global Advisors
Finance and Insurance • 1 - 5K employees

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

JOB DESCRIPTION

State Street Investment Management (State Street IM) Model Risk Management (MRM) function is seeking a Quantitative Risk Analyst to join its State Street IM Model Validation team based in Boston, MA. The Quantitative Risk Analyst will conduct model validation to ensure model risks are correctly identified, assessed, and managed across the global asset management business. Diverse product knowledge including index products, ETFs, responsible investing as well as experience in the general risk areas covering credit, liquidity, market and operational risk, securities finance, asset management, and stress testing is important.

Specific tasks performed during model reviews include:

  • Review the model workflow and identify gaps in model methodology, development, implementation, and usage process and documentation

  • Challenge the model methodology by testing its assumptions and parameters; independently evaluate model performance and perform benchmarking; suggest areas for improvement

  • Collaborate with portfolio managers, traders, researchers, model developers, IT, and Corporate Model Risk Management to conduct independent validation as well as annual reviews of models supporting State Street IM business and company-wide strategic initiatives

  • Review and assess model changes and conduct targeted validation on significant model changes

  • Evaluate remediation submissions and ongoing monitoring of models

  • Identify, assess, and report model risks on individual model and aggregate level to management through validation reports and other MRM reporting

Job Qualifications:

  • MS or PhD in Finance, Economics, Financial Engineering, Statistics, Math, or related field

  • Excellent quantitative modeling, analytical, research, and programming skills (e.g., R, Python, MATLAB, SQL)

  • Deep knowledge of economic theory and empirical finance across a broad range of products and asset classes

  • Strong understanding of the asset management business and its modeling philosophy, including factor models

  • Proven ability to leverage LLMs/GenAI or their applications in day-to-day work and model review activities

  • Solid understanding of Model Risk Management Framework including SR 11-7 and other regulatory guidance related to the model risk management

  • Strong written and verbal communication skills

  • Strong project management skills exemplified by the ability to work independently on multiple projects and meetdeadlines

Salary Range:

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.