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$31K

$90.6K

$146K

How much do quantitative risk jobs pay per year?

As of Aug 14, 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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Quantitative Risk jobs near you
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.

Senior Analyst, Quantitative Risk

Mitsubishi HC Capital America Inc

Norwalk, CT • On-site

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Position Overview:

The position supports the measurement and forecasting of risk for equipment finance portfolios, both retail and wholesale. Independently performs advanced quantitative analyses. Leads projects to develop models, analyses, and reports that measure credit, residual value, and portfolio risk. Provides thought leadership on analytical approaches and mentors junior analysts.

Essential Duties and Responsibilities:

  • Analyze portfolio trends, risk concentrations, and emerging risks. Work with large datasets related to leases, loans, collateral values, and customer performance.
  • Develop credit, residual value, and/or portfolio risk models and interpret outputs. Lead model documentation, testing, and model governance activities.
  • Contribute to a team that reviews and challenges business-leader decisions that influence portfolio composition and risk.
  • Design and execute stress testing, scenario analysis, and sensitivity analysis.
  • Lead the automation of risk reports and dashboards.
  • Mentor and review work performed by Analysts.

Qualifications/Competencies:

  • Master’s degree in financial engineering, statistics, mathematics, engineering, econometrics, or a related field. Bachelor’s degree is acceptable with compensatory experience.
  • 3–5 years of quantitative, analytics, or risk experience
  • Proficiency in Excel and SQL or Python.
  • Solid understanding of leasing, asset finance, or secured lending concepts.
  • Ability to present complex analyses to non-technical audiences.

Working Hours:

  • This is a full-time position based on a 40-hour work week (35-hour for Canada) but may vary to meet business needs.

Physical Demands:

  • Digital dexterity and hand/eye coordination in operation of office equipment
  • Ability to speak to and hear customers and/or other employees via phone or in person
  • Body motor skills sufficient to move from one office location to another

This job description does not constitute an employment contract, implied or otherwise, other than an “at will” relationship and is subject to change by the employer as the needs of the employer and requirements of the job change.


The position is exempt and the salary will be between $110,000 and $135,000 with an opportunity to earn a discretionary annual bonus.

The salary range is determined and based on internal equity, market data/ranges, applicant's skills, prior relevant experience and education.

Additional benefits:

- Medical, Dental, and vision plans

- 401(k) and matching

- Paid Time Off

- Company Paid Life Insurance

- Employee Assistance Program

- Training and Development Opportunities

- Employee Discounts