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Senior Quantitative Risk Analyst Jobs (NOW HIRING)

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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

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 ...

Jobtailor

$180 - $240/hr

... analysis, and predictive methods * Experience translating complex quantitative findings into executive narratives influencing senior leadership, committee, or board-level decisions * Ability to ...

New

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 24, 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, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $109,846 per year, or $52.8 per hour.

Senior Quantitative Risk Manager - BSA/AML

Buffalo, NY • On-site

M&T Bank Corporation
Finance and Insurance • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 187 frontline employees who took The Breakroom Quiz

79th of 172 rated banks

Good employer

Recommended by parents

Respectful managers

Learn more about M&T Bank Corporationexternal

$148.30 - $247.10/hr

Other

Posted 6 days ago

Job description

## Senior Quantitative Risk Manager - BSA/AMLApplyremote type: Onsite Positionlocations: Buffalo, NYtime type: Full timeposted on: Posted Todayjob requisition id: R85558# Overview:This position requires expertise in statistical and machine learning model development within a regulated environment. The role manages the full model development lifecycle—including requirements gathering, development, testing/validation, implementation, and ongoing monitoring—and partners closely with business and compliance stakeholders to deliver analytically sound, well-documented solutions. Development work is performed using both Python and SAS.# ## Primary Responsibilities:* Design, develop, test/validate, implement, and monitor statistical and machine learning models across the full model development lifecycle.* Partner with internal business stakeholders to define modeling requirements and translate them into scalable analytical solutions.* Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management.* Produce clear, defensible model documentation and support governance, validation, and regulatory activities (MRM, audit, regulatory review).* Develop and maintain production-quality analytics using Python and SAS.* Collaborate with internal and external partners to optimize the risk/reward equation and maximize profitability.* Serve as a liaison for Quantitative Risk Management initiatives across business areas, consultants, vendors, and peer banks.* Manage and develop Quantitative Analysts and Modelers, including performance and skills development.* Ensure adherence to risk management frameworks, regulatory standards, and internal controls.* Exercise managerial authority related to staffing, performance, and compensation decisions.* Promote an inclusive environment that reflects the M&T Bank brand.## Education and Experience Required:Bachelors’ degree, OR in lieu of a degree, A combined minimum of 14 years’ higher education and/or work experience, including a minimum of 10 years’ related experience (inclusive of 4 years supervisory/management experience) -OR- Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline and a minimum of 8 years’ related experience (inclusive of 4 years supervisory/management experience), OR in lieu of a degree, A combined minimum of 14 years’ higher education and/or work experience, including a minimum of 8 years’ related experience and/or (inclusive of 4 years supervisory/management experience). Minimum of 10 years’ related experience (inclusive of 4 years supervisory/management experience) Banking or Financial Services experience. 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.## Education and Experience Preferred:* Extensive experience with statistical and machine learning model development and ongoing monitoring.* Demonstrated experience leading models from concept through production.* Strong proficiency in both Python and SAS.#LI-RS1M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $148,300.00 - $247,100.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. #J-18808-Ljbffr

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