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Quantitative Risk Jobs (NOW HIRING)

Position Summary As a Quantitative Risk Modeling Led in the Ryan Credit Solutions department at Ryan Specialty, you will leverage your actuarial and quantitative expertise to shape the underwriting ...

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: August 10, 2026 We've Got You Under Our Wing We are the duck. We develop and empower our people, cultivate ...

Quantitative Risk, VP

Boston, MA · On-site

$120K - $202K/yr

Who we are looking for The Centralized Modeling & Analytics and Operations(CMAO) team within State Street's Enterprise Risk Management (ERM) organization is looking for an experienced quantitative ...

Build quantitative risk models for perpetuals and commodity derivatives, covering margin requirements, position limits, and tail risk across normal and stressed market conditions. * Design and ...

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Quantitative Risk information

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$31K

$90.6K

$146K

How much do quantitative risk jobs pay per year?

As of Aug 15, 2026, the average yearly pay for quantitative risk in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

How much do quantitative risk analysts make?

Quantitative risk analysts typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Senior analysts or those in high-demand financial centers can earn over $150,000, often supplemented by bonuses and benefits. Strong skills in statistics, programming, and risk modeling tools are essential for higher compensation.

What do quantitative risk analysts do?

Quantitative risk analysts assess financial risks using mathematical models and statistical techniques to evaluate potential losses and inform decision-making. They analyze data, develop risk measurement tools, and often use software like Excel, R, or Python to support risk management strategies in finance or insurance firms.

How do quantitative risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

How hard is it to become a quantitative risk?

Becoming a quantitative risk professional typically requires a strong background in mathematics, statistics, or finance, often supported by a relevant degree such as a master's or Ph.D. in a quantitative field. Developing skills in programming languages like Python or R and understanding financial models are also important, and gaining experience through internships or certifications can improve job prospects. The role is competitive and demands analytical ability, but with the right education and skills, entry is achievable.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

What is a quantitative risk analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

What are the key skills and qualifications needed to thrive as a quantitative risk analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.
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What cities are hiring for Quantitative Risk jobs?

Cities with the most Quantitative Risk job openings:

What are the most commonly searched types of Quantitative Risk jobs?

The most popular types of Quantitative Risk jobs are:

What states have the most Quantitative Risk jobs?

States with the most job openings for Quantitative Risk jobs include:

Infographic showing various Quantitative Risk 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 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

BACKGROUND

The Centralized Modeling & Analytics and Operations(CMAO) team within State Street's Enterprise Risk Management (ERM) organization is looking for an experienced quantitative analyst to join our team.

The CMAO organization provides analytics based services and solutions to business units across State Street. Our mission is to create value through data driven solutions enabling State Street and our business partners to make timely and informed decisions.

POSITION PRIMARY DUTIES AND RESPONSIBILITIES

This role will be part of the CMAO team focused on delivering modeling and analytics solutions to assess counterparty credit risk managed by State Street Global Markets ("SSGM"). The portfolio supported includes SSGM Financing Solutions including Agency Lending, Prime Services, Secured Financing, derivatives in interest rates, FX and equity asset classes, Eligible Margin Loan in Global Credit Financing ("GCF") business. The role has significant impact on the BAU risk management as well as the regulatory CCAR requirement through complex deliverables.

This role will:

  • Assume a key role in model methodology research, prototyping and determination
  • Develop and build out financial models and analytics for the trading business leveraging a wide variety of mathematical and computer science methods and tools
  • Advance existing codebase and propose new solutions and improvements
  • Document development methodology, quantitative analysis, and implementation process
  • Design and implement suitable and effective model ongoing monitoring plan including performance metrics, thresholds, and escalation plan
  • Work in close partnership with control functions such as Model Risk Management, Audit, and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure
  • Collaborate with business users and IT partners to establish appropriate production processes within the IT infrastructure
  • Timely execute CCAR deliverables
  • Support regular BAU risk management activities and proactively resolve issues

REQUIREMENTS

  • Masters' or PhD in a quantitative discipline (Financial Mathematics, Financial Engineering, Mathematics, Statistics, Computer Science, or a related field). Experience in machine learning is a plus
  • Minimum 2-4years of working experience in financial modeling field as a key contributor
  • Demonstrated knowledge and experience developing or validating VaR, PFE and CVA models
  • Demonstrated knowledge on derivatives, RMBS and equities pricing/modeling, yield curve building methodology, interest rate modelling
  • Advanced programming skills in statistical programming environment Python and SQL are required
  • Familiarity with CCAR regulatory frameworks and the corresponding requirements is a plus
  • Self-motivated and attention to detail
  • Demonstrated ability to work independently on complex projects as well as the ability to be a team player in a fast-paced, high-energy level environment
  • Strong verbal and written communication skills, with ability to articulate ideas, analysis and complex concepts effectively to broad audiences
  • Competence and confidence to gain credibility and collaborate for success across the organization

Salary Range:

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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