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Quantitative Risk Manager Jobs (NOW HIRING)

Our client, a global Asset Management Firm, is seeking a Quantitative Risk Analyst to join its Risk & Quantitative Research team. The RQR team plays a vital role in the Firm's investment process ...

Quantitative Risk

Boston, MA · On-site

$104K - $180K/yr

The role has significant impact on the BAU risk management as well as the regulatory CCAR ... quantitative analysis, and implementation process; design and implement suitable and effective ...

Quantitative Risk Analyst Contract Type: Permanent Time Type: Full time Quantitative Risk Analyst ... the Head of Risk and Senior Management. Aggregate data from various sources and maintain ...

... Risk and Senior Management. • Aggregate data from various sources and maintain disciplined data science practices. Profile • At least 3-10 years' experience in quantitative role in a trading ...

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Quantitative Risk Manager information

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$51.5K

$111.6K

$170K

How much do quantitative risk manager jobs pay per year?

As of Jun 20, 2026, the average yearly pay for quantitative risk manager in the United States is $111,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $129,000.00 per year, depending on experience, location, and employer.

Is quantitative risk management in demand?

Quantitative risk management is in high demand across financial services, insurance, and investment firms due to increasing regulatory requirements and the need for sophisticated risk assessment tools. Professionals in this field with skills in data analysis, statistical modeling, and programming are sought after, especially those with certifications like FRM or CFA. The role often involves using software such as Python, R, or MATLAB to develop risk models and monitor financial exposures.

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 salary of quant Risk Manager?

The salary of a Quantitative Risk Manager typically ranges from $100,000 to $200,000 annually, depending on experience, location, and the size of the organization. Senior roles or those in major financial hubs can earn higher compensation, often including bonuses and performance incentives.

How much do quant risk managers make?

Quantitative risk managers typically earn a median salary ranging from $100,000 to $150,000 annually, with experienced professionals in major financial centers earning over $200,000. Compensation often includes bonuses and depends on factors such as experience, education, certifications, and the complexity of the risk models managed.

What is a quantitative Risk Manager?

A quantitative risk manager is a professional who uses mathematical models, statistical analysis, and programming skills to identify, assess, and mitigate financial risks within an organization. They often work with tools like Excel, R, or Python and require strong knowledge of finance, mathematics, and risk management frameworks. Their goal is to help firms make data-driven decisions to minimize potential losses and ensure regulatory compliance.

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.

More about Quantitative Risk Manager jobs
What cities are hiring for Quantitative Risk Manager jobs? Cities with the most Quantitative Risk Manager job openings:
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What job categories do people searching Quantitative Risk Manager jobs look for? The top searched job categories for Quantitative Risk Manager jobs are:
Infographic showing various Quantitative Risk Manager job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,556 per year, or $53.6 per hour.

Quantitative Risk Analyst

Quanta Search

Manhattan, NY

Other

Posted 25 days ago


Job description

Our client, a global Asset Management Firm, is seeking a Quantitative Risk Analyst to join its Risk & Quantitative Research team.
The RQR team plays a vital role in the Firm's investment process, building a deeply rooted culture of efficient risk management and factful performance attribution. Quantitative Risk Analysts perform research to identify opportunities for improved risk management, investment behavior, and portfolio construction, with the goal of helping the firm deliver superior risk-adjusted performance.The paramount mission of the team is to protect the Firm from improper levels of exposure and ensure that risk-taking is always efficient and deliberate.
The ideal candidate is an intelligent and creative problem solver who can articulate one's ideas effectively to a diverse audience in a fast-paced environment. Experience in quantitative investment research is a plus. We are looking for a candidate who is well-versed in volatility strategies and has a reasonable understanding of equity derivative modeling, such as calibration of implied volatility from market data, fitting implied volatility surfaces after calibration, and performing stress-test analysis on Greeks of volatility strategies.
The Quantitative Risk Analyst will:
  • Analyze portfolios and strategies to understand the drivers of performance and develop reports that summarize the risk profiles and to facilitate efficient risk management as well as improve understanding of portfolio construction and investment behavior.
  • Help design and improve stress testing, Value at Risk and various limit frameworks for portfolios of diverse products and strategies.
  • Evaluate and validate price and risk models to ensure the soundness and correct application of the models.
  • Conduct research to develop innovative risk management approaches, tools, and analytics to helpimprove performance and better manage risk and deliver those research findings to senior management.
  • Work with Risk Managers and developers on the design and development of risk management and infrastructure.
  • Analyze large structured and unstructured datasets, such as internal trade/market data, and running numerical simulations and statistical analysis.

We seek candidates with:
  • Undergraduate or higher degree in a quantitative discipline
  • 5+ years of work experience in a quantitative research, trading or risk management capacity related to equity options portfolios and volatility trading
  • Strong background in statistics, math, and econometrics
  • High level of proficiency in SQL and quantitative programming (Python, MATLAB, R)
  • The ability to manage multiple tasks and deadlines independently in a fast-paced environment
  • Ability to proactively seek new ideas and solution to improve the status quo
  • Strong work ethic - reliable and accountable, good attention to detail
  • Strong communication skills, with the ability to communicate clearly and concisely both verbally and in writing
  • Ability to work cooperatively with all levels of staff as part of a team
  • A commitment to the highest ethical standards and to act with professionalism and integrity