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Quantitative Risk Manager Jobs in Brooklyn, NY (NOW HIRING)

Quant Risk Analyst

New York, NY · On-site

$100K - $150K/yr

Quantitative risk management background with direct ownership of model development, not just consumption of outputs from a research team. * Strong financial modeling skills in Python. You write clean ...

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.

Partner with Front Office, Quantitative Development, Model Risk Governance, Finance, Technology, Operations, and other control functions to resolve data quality issues, model limitations, valuation ...

The Senior Market Risk Manager will be responsible for the independent measurement, monitoring ... Partner with Front Office, Quantitative Development, Model Risk Governance, Finance, Technology ...

Partner with Front Office, Quantitative Development, Model Risk Governance, Finance, Technology, Operations, and other control functions to resolve data quality issues, model limitations, valuation ...

AVP Quantitative Risk Analyst Salary Range: $140,000 to $185,000 Job Posting End Date: September 7, ... Certification in CFA, FRM, Actuarial credentials or similar investment risk management credentials ...

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Quantitative Risk Manager information

See Brooklyn, NY salary details

$54.2K

$117.3K

$178.8K

How much do quantitative risk manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for quantitative risk manager in Brooklyn, NY is $117,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $135,600.00 per year, depending on experience, location, and employer.

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.

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.

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 popular job titles related to Quantitative Risk Manager jobs in Brooklyn, NY?

For Quantitative Risk Manager jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Manager jobs in Brooklyn, NY look for?

The top searched job categories for Quantitative Risk Manager jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Quantitative Risk Manager jobs?

Cities near Brooklyn, NY with the most Quantitative Risk Manager job openings:

Infographic showing various Quantitative Risk Manager job openings in Brooklyn, NY as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $117,302 per year, or $56.4 per hour.

Quantitative Risk Engineer

Jersey City, NJ • On-site

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Must Have Technical/Functional Skills
• 10+ years of experience in Quantitative Development, Risk Analytics, Front Office Risk Technology, or Capital Markets Risk Platforms.
• Strong knowledge of Fixed Income products, including:
o Repo / Reverse Repo
o Government Bonds
o Corporate Bonds
o Interest Rate Derivatives
o Total Return Swaps (TRS)
• Strong understanding of:
o Risk calculations and exposure measurement
o Bond pricing and yield curve analytics
o Interest rate sensitivity (DV01/PV01)
o Funding and financing risk
o Scenario analysis and stress testing
• Advanced Python development skills with expertise in:
o Python
o Pandas
o NumPy
o Data analysis and numerical modeling
• Strong analytical, troubleshooting, and root cause analysis skills.
• Experience investigating risk, valuation, and exposure discrepancies.
• Ability to reconcile outputs across risk systems, trading platforms, and finance calculations.
• Strong understanding of market data, curves, trade lifecycle events, and their impact on risk calculations.
• Experience working directly with traders, desk quants, risk managers, and finance users.
• Excellent communication and stakeholder management skills. Good to Have Skills • Experience with Quartz or similar front-office risk and analytics platforms.
• Experience in Capital Markets, Fixed Income Trading, or Financing businesses.
• Knowledge of risk attribution, explainability, and quantitative analytics frameworks.
• Exposure to enterprise risk platforms and front-office technology environments.
Roles & Responsibilities
• Enhance and support a Fixed Income and Financing Risk Platform focused on Repo business and risk analytics.
• Investigate unexplained risk, valuation, and exposure movements across trading and risk systems.
• Perform reconciliation between risk systems, trading platforms, and finance calculations.
• Conduct root cause analysis of incorrect or unexpected risk and valuation results.
• Analyze the impact of market data changes, yield curve movements, trade amendments, and booking issues on risk calculations.
• Work closely with traders, desk quants, risk managers, and finance teams to explain and resolve risk-related issues.
• Develop and enhance risk analytics, attribution, and explainability capabilities.
• Validate and challenge risk and valuation calculations to ensure analytical accuracy.
• Debug complex calculation issues across multiple systems and data sources.
• Design and implement analytical solutions using quantitative and risk domain expertise.
• Support production issues, troubleshooting, testing, and continuous platform improvements.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professio nal Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $100,000 - $125,000 a year