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Senior Quantitative Risk Analyst Jobs (NOW HIRING)

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Job Summary We are seeking a Senior Quantitative Risk Manager to develop, enhance, and govern ... Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Job Summary We are seeking a Senior Quantitative Risk Manager to develop, enhance, and govern ... Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ...

Akuna Capital

Junior Quantitative Risk Analyst

Chicago, IL · On-site

$90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

What you'll do as a Junior Quantitative Risk Analyst at Akuna: We are looking for a motivated and talented individual to join our growing Risk Department. This role is part of a major investment in ...

Akuna Capital

Junior Quantitative Risk Analyst

Chicago, IL · On-site

$90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

What you'll do as a Junior Quantitative Risk Analyst at Akuna: We are looking for a motivated and talented individual to join our growing Risk Department. This role is part of a major investment in ...

Unchain Data

Senior Quantitative Analyst

Manhattan, NY · On-site

$150 - $210/hr

The Role As a Senior Quantitative Analyst at RobotBulls, you will be responsible for designing ... Conduct ongoing research into market microstructure, regime detection, and risk management ...

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Senior Quantitative Risk Analyst information

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$53.5K

$109.8K

$142.5K

How much do senior quantitative risk analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior quantitative risk analyst in the United States is $109,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a senior quantitative risk analyst?

Senior Quantitative Risk Analysts are experienced professionals who use mathematical models and statistical techniques to identify, measure, and manage financial risks within an organization. They typically work in banks, investment firms, or other financial institutions, and play a key role in developing risk assessment tools, interpreting data, and advising on strategies to mitigate potential losses. In addition to their technical expertise, they often lead teams, guide junior analysts, and collaborate with other departments to ensure comprehensive risk management. Their work helps organizations make informed decisions and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as a senior quantitative risk analyst?

To thrive as a Senior Quantitative Risk Analyst, you need advanced quantitative analysis skills, a strong background in statistics, mathematics, or finance, and typically a relevant graduate degree. Proficiency in programming languages such as Python, R, or SAS, as well as experience with risk modeling software and financial databases, is crucial. Outstanding problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are essential for accurately assessing financial risks, developing robust models, and clearly conveying complex findings to stakeholders.

What are some typical challenges faced by senior quantitative risk analysts when developing risk models, and how are they addressed within teams?

Senior Quantitative Risk Analysts often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and staying compliant with evolving regulatory standards. To address these, teams typically collaborate closely, leveraging peer reviews, regular validation processes, and ongoing communication with IT and compliance departments. Additionally, senior analysts mentor junior team members and encourage a culture of continuous learning to keep up with the latest quantitative methods and regulatory requirements.

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

AspectSenior Quantitative Risk AnalystQuantitative Risk Analyst
Required CredentialsBachelor's or Master's in Finance, Mathematics, or related field; often with certifications like FRM or CFABachelor's or Master's in relevant fields; certifications like FRM or CFA are common but less mandatory
Work EnvironmentTypically in financial institutions, risk management teams, or investment firmsSimilar environments, often in banks, asset managers, or insurance companies
Job ResponsibilitiesLeading risk modeling, analyzing complex data, mentoring junior staffSupporting risk assessments, data analysis, and model development

The main difference lies in experience and responsibility. Senior Quantitative Risk Analysts often lead projects, mentor teams, and handle complex modeling, while Quantitative Risk Analysts focus on supporting risk analysis and data work. Both roles require similar credentials and work in comparable environments, but the senior role involves more leadership and strategic input.

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Senior Quantitative Risk Analyst jobs near you
Infographic showing various Senior Quantitative Risk Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $109,846 per year, or $52.8 per hour.

Quantitative Risk Analyst or Treasury Risk Modeling Analyst

RealTek Consulting

Manhattan, NY • On-site

Other

Posted 27 days ago

Job description

Quantitative Risk Analyst or Treasury Risk Modeling Analyst

Insights – Treasury modelling , Risk modelling , CCAR testing , UAT Test case and strong in python.

Skill Core Python, strong Algorithm and Analytical thinking, SQL, Experience in risk analytics is preferred. You will contribute to TCAP as a central aggregator and modelling engine across Treasury, Risk, and Finance. UI development (React/Angular)- Moderate knowledge

1.Collaborate with different line of businesses to convert Excel-based business logic and calculations to into python programs/tools to support Ul dashboard creation that presents scenario results and visualizations of metrics to senior management.

2.Strong working knowledge of CCAR stress testing or scenario-driven stress testing, balance sheet line-item modelling and projections, Liquidity stress testing and Interest Rate Risk (IRR) analytics, sensitivity analysis, curve construction and treasury analytics.

3.Collaborate on the development of REST APis that interface with scenario engines, model layers and user applications.

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