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Quantitative Risk Manager Jobs in New York (NOW HIRING)

Aflac

AVP, Quantitative Risk Analyst

Manhattan, NY · On-site

$140K - $185K/yr

AVP Quantitative Risk Analyst Salary Range: $140,000 to $185,000 Job Posting End Date: July 10, ... Certification in CFA, FRM, Actuarial credentials or similar investment risk management credentials ...

LHH US

Quantitative Analyst

Jersey City, NJ

$48.43/hr

Working closely with the Market Risk Methodology Line of Business Risk Managers and Technology ... Quantitative Analyst , Risk Manager , Data Analyst Skill Requirements * Must-Have Requirements:

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Quantitative Risk Manager information

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$56.3K

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How much do quantitative risk manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for quantitative risk manager in New York is $122,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $141,100.00 per year, depending on experience, location, and employer.

What can I do with a quantitative risk management degree?

A degree in quantitative risk management prepares individuals for roles such as risk analyst, risk manager, or quantitative analyst in finance, insurance, or consulting firms. These roles involve assessing and modeling financial risks using statistical tools, programming languages like Python or R, and risk management frameworks. Professionals in this field often work with regulatory compliance and may pursue certifications like FRM or PRM.

What is the salary of a quant risk manager?

A quantitative risk manager's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often associated with experience, advanced degrees, and certifications such as FRM or CFA. In addition to base salary, bonuses and performance incentives can significantly increase total compensation in this role.

What does a quantitative risk manager do?

A quantitative risk manager analyzes financial data and models to identify, measure, and manage risks within an organization. They use statistical techniques, programming skills, and risk management tools to develop strategies that minimize potential losses and ensure regulatory compliance.

How does a Quantitative Risk Manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

How much do quant risk managers make?

Quantitative risk managers typically earn between $100,000 and $200,000 annually, with senior roles and those in major financial centers earning higher salaries. Compensation often includes bonuses and benefits, and strong skills in mathematics, programming, and risk modeling are essential for higher-paying positions.

What is a Quantitative Risk Manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

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

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What are the most commonly searched types of Quantitative Risk jobs in New York? The most popular types of Quantitative Risk jobs in New York are:
What are popular job titles related to Quantitative Risk Manager jobs in New York? For Quantitative Risk Manager jobs in New York, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in New York look for? The top searched job categories for Quantitative Risk Manager jobs in New York are:
What cities in New York are hiring for Quantitative Risk Manager jobs? Cities in New York with the most Quantitative Risk Manager job openings:
Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,046 per year, or $58.7 per hour.
Manager, Quantitative Risk Analysis

Manager, Quantitative Risk Analysis

Fidelity Investments

Jersey City, NJ • On-site

$127K - $137K/yr

Full-time

Posted 9 days ago

Fidelity Investments rating

8.8

Company rating: 8.8 out of 10

Based on 269 frontline employees who took The Breakroom Quiz

9th of 150 rated financial services

Job description


Position Description:
Designs quantitative and qualitative analyses to tackle complex problems including portfolio risk profiles, security pricing and valuation, and machine learning (ML) forecasting. Participates in quantitative and financial modeling, including valuation and pricing, investment products, financial planning components, market events, and credit risk. Supports model validation projects across enterprise-wide business groups, assessing model design, inputs, methodologies, and key assumptions. Leverages Bloomberg, Excel, and statistical software (R, Python, MATLAB, or SQL) to perform risk management and solve complex problems.
Primary Responsibilities:
  • Collaborates with model developers and owners to ensure models used by associates and customers are reliable, high-quality, and support sound business decisions.
  • Guides independent validation of quantitative models and reports findings to management, assessing market, financial, and operational risks.
  • Works cross functionally with business units and senior leadership to enhance current model development.
  • Ensures model owners have established effective standards, policies, and procedures.
  • Confirms complete and accurate documentation for each model.
  • Collaborates in the development and implementation of the Model Risk Management Framework by enforcing policies and procedures.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, Mathematical Finance, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Quantitative Risk Analysis (or closely related occupation) performing risk management related to quantitative and qualitative modeling, valuation, pricing, investment products, financial planning, and ML, using statistical software packages (SQL and R, Python, or MATLAB).
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, Mathematical Finance, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Quantitative Risk Analysis (or closely related occupation) performing risk management related to quantitative and qualitative modeling, valuation, pricing, investment products, financial planning, and ML, using statistical software packages (SQL and R, Python, or MATLAB).
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing quantitative and qualitative analyses to validate or audit financial, statistical, and AI models, using Python, R, SQL, and Excel; developing or implementing mathematical methodologies, algorithms, and diagnostics, using QuantLib, GBM Simulator, Arch, and LightGBM or scikit-learn (for testing model stability, reliability, performance, and quality control of modelling data).
  • DE implementing a comprehensive model risk management framework, policies, and procedures to identify, access, and mitigate enterprise-wide model risk; and conducting back, stress, and sensitivity testing, and scenario analysis, to assess model robustness under different conditions, and creating insightful visual representations, using NumPy, SciPy, and Pandas.
  • DE collaborating with individual contributors within model validation or model audit, research, and consultative projects -- defining project scope with business and risk leads, accessing and analyzing critical data, performing research, identifying and escalating key findings, and assessing impacts and potential solutions.
  • DE delivering recommendations to business stakeholders, communicating complex quantitative findings, presenting feedback on methodologies, and describing and documenting edge cases through written and oral presentations, using Word and PowerPoint.

Salary: $127,500.00 - $137,500.00/year.
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Certifications:
Category:
Risk
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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