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Associate Quantitative Risk Analyst Jobs (NOW HIRING)

Franklin Templeton Investments

$160 - $185/hr

Senior Quantitative Analyst, Quantitative & Risk Analytics The Quantitative and Risk Analytics group is hiring a Senior Quantitative Analyst to report to the Investment Director of Quantitative and ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ... Strengthen the quantitative underpinnings of the firm's market risk framework, including model ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ... Strengthen the quantitative underpinnings of the firm's market risk framework, including model ...

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

As of Aug 28, 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.

Quantitative Risk Principal - Critical Risk Reporting

Jobtailor

Charlotte, NC • On-site

$180 - $240/hr

Other

Posted 6 days ago

Job description

  • Lead the evolution of enterprise risk intelligence capabilities for strategic decision-making, risk appetite management, governance, and regulatory oversight
  • Develop, maintain, and enhance sophisticated quantitative risk models, analytical frameworks, and methodologies
  • Design modeling solutions to assess current and emerging risks, quantify exposures, and influence risk strategy and business decisions
  • Develop predictive, stress testing, scenario analysis, and simulation models across macroeconomic, market, operational, and business conditions
  • Establish approaches and best practices for acquiring, transforming, validating, and maintaining complex data assets
  • Improve risk measurement capabilities through enhanced data, advanced methodologies, emerging technologies, and innovative modeling techniques
  • Design scalable model architectures integrating multiple risk types and analytical capabilities
  • Perform independent quantitative assessment and challenge business assumptions, risk methodologies, model outputs, risk limits, and strategic decisions
  • Synthesize technical quantitative analysis into executive insights and strategic recommendations
  • Develop methodologies for evaluating model uncertainty, tail risk, emerging exposures, and interconnected risk relationships
  • Establish analytical standards, modeling best practices, and quantitative risk methodologies
  • Evaluate relationships among risk drivers, scenarios, and business outcomes to provide forward-looking risk insights
  • Serve as the recognized authority on complex quantitative risk matters and provide expert consultation
  • Represent Risk leadership in executive forums, governance committees, and association working groups
  • Influence strategic direction, prioritization, and delivery of quantitative risk capabilities through technical expertise and thought leadership
Requirements
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Science, Data Science, or another quantitative field; OR 4 years of relevant education and/or experience
  • 10+ years experience in quantitative analytics, modeling, risk management, statistical analysis, actuarial science, data science, economics, or finance
  • 6 years of specific quantitative risk analytics experience
  • Experience with highly complex projects and initiatives with demonstrated association-wide impact
  • Ability to synthesize large volumes of risk, business, operational, and external data into concise executive insights and decision-oriented recommendations
  • Experience identifying emerging trends, leading indicators, concentrations, and potential risk exposures
  • Experience applying statistical analysis, forecasting techniques, scenario analysis, and predictive methods
  • Experience translating complex quantitative findings into executive narratives influencing senior leadership, committee, or board-level decisions
  • Ability to distinguish signal from noise within large, complex reporting environments
  • Experience leveraging advanced analytics, AI-enabled tools, or machine learning techniques
  • Ability to connect macroeconomic, operational, regulatory, and business trends into integrated risk perspectives
  • US military experience gained through military service or as a military spouse/domestic partner
  • Must not require immigration support or visa sponsorship
Core Competencies

Demonstrates expertise in developing and enhancing quantitative risk models and analytical frameworks to support strategic decision-making and risk management. Proficient in synthesizing complex data into actionable insights and recommendations for executive leadership.

Highest-signal resume keywords
  • Quantitative Risk Analytics
  • Statistical Analysis
  • Predictive Modeling
  • Data Synthesis
  • Risk Management
ATS Optimization KeywordsHard Skills
  • Quantitative Risk Models
  • Analytical Frameworks
  • Scenario Analysis
  • Stress Testing
  • Data Transformation
  • Model Uncertainty Evaluation
  • Tail Risk Assessment
  • Forecasting Techniques
  • Machine Learning Techniques
  • Complex Data Analysis
Soft Skills
  • Executive Communication
  • Strategic Influence
  • Decision-Making
Industry Keywords
  • Risk Appetite Management
  • Governance
  • Regulatory Oversight
  • Macroeconomic Trends
  • Operational Risk
  • Business Outcomes
Tools & Technologies
  • AI-Enabled Tools
  • Advanced Analytics
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