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Associate Quantitative Risk Analyst Jobs (NOW HIRING)

State Street Corporation

Quantitative Risk

Boston, MA · On-site

$104K - $180K/yr

Quantitative Risk (State Street Bank And Trust Company; Boston, Massachusetts ... This role will be part of the CMAO team focused on delivering modeling and analytics solutions to ...

Pavago

Risk Analyst

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

Polymarket

Quant Risk Analyst

New York, NY · On-site

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

As of Aug 21, 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 is an associate quantitative risk analyst?

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?

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.

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.

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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 August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $84,210 per year, or $40.5 per hour.

Equity Derivatives Risk Quant, Associate

Jefferies

Manhattan, NY • On-site

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description


We are seeking a motivated and detail-oriented Equity Derivatives Risk Quant at the Associate Level to join our Equity Risk Analytics team. This role is well suited for candidates with a strong quantitative background, solid programming skills, and early-career experience or demonstrated academic exposure in equity derivatives risk analytics, including VaR, volatility calibration, option pricing, scenario analysis, and stress testing.
The successful candidate will support the development, enhancement, and maintenance of risk analytics methodologies and tools for the firm's equity derivatives business. The role will involve close collaboration with trading desks, risk managers, model development teams, and technology partners.
Key Responsibilities
  • Support the design, implementation, and enhancement of risk analytics solutions for equity derivatives, including:
    • Volatility surface calibration
    • Vanilla option pricing and risk analytics
    • Value-at-Risk (VaR) calculations
    • Scenario analysis and stress testing
    • Sensitivity and exposure analysis
  • Assist in developing and maintaining tools for pricing, volatility calibration, and risk reporting across equity derivatives products.
  • Daily work with Market Risk, Credit Risk, SIMM, Quantitative Risk Development, and Technology teams to ensure risk measures are accurate, consistent, and robust.
  • Analyze model outputs, risk exposures, and market data to identify issues, explain movements, and support risk management decisions.
  • Contribute to methodology development for equity derivatives risk, including proxy modeling, time series construction, volatility modeling, and risk factor analysis.
  • Help investigate and resolve production issues related to risk calculations, data quality, model behavior, and analytics infrastructure.
  • Prepare clear documentation and analysis to support model development, validation, governance, and stakeholder communication.

Required Qualifications
  • Master's or PhD in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative field.
  • 0-3 years of relevant experience in quantitative finance, risk analytics, derivatives modeling, or a related area.
  • Academic, internship, or professional experience with equity derivatives, risk analytics, or related quantitative methods.
  • Familiarity with one or more of the following areas:
    • Equity option pricing
    • Volatility surface calibration
    • Value-at-Risk (VaR)
    • Stress testing and scenario analysis
    • Greeks and sensitivity analysis
    • Market data and time series analysis
  • Strong programming skills, preferably in Python, with the ability to write clean, efficient, and well-documented code.
  • Strong analytical and problem-solving skills, with a high level of attention to detail.
  • Hard-working, diligent, and proactive, with a willingness to learn complex products, models, and systems.
  • Good communication skills and ability to work effectively with quantitative, risk, trading, and technology teams.

Preferred Qualifications
  • Prior internship or full-time experience in equity risk analytics, equity derivatives, market risk, quantitative research, or model development.
  • Experience with VaR, volatility modeling, option pricing, or risk factor modeling.
  • Familiarity with equity derivatives products such as vanilla options, variance swaps, autocallables, barriers, or other structured products.
  • Exposure to regulatory or risk frameworks such as capital charge calculations, or stress testing methodologies.
  • Experience working with large datasets, market data, time series, or risk production systems.
  • Familiarity with the EQF platform is desirable but not required.

Primary Location Full Time Salary Range of $100,000 - $140,000.
About Us
Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.
At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.
Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law.
The salary offered will take into consideration an individual's experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.

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