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Quantitative Risk Manager Jobs (NOW HIRING)

Ryan Specialty

Quantitative Risk Modeling Lead

Position Summary As a Quantitative Risk Modeling Led in the Ryan Credit Solutions department at ... We partner with banks, asset managers, and insurers to create bespoke solutions that address ...

Corpay

Quantitative Risk Analyst

Salt Lake City, UT · On-site

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... How We Work As a Quantitative Risk Analyst you will be expected to work in a hybrid environment.

Asana

Security Risk Manager

San Francisco, CA · Hybrid

$194K - $220K/yr

Own Asana's security risk management program ... Design and continuously mature a quantitative risk framework - including risk scoring methodologies ...

Gardiner & Theobald

Experience in PMO within risk and control or project management with demonstrable experience in managing risk registers, facilitating risk workshops, supporting qualitative and quantitative risk ...

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 ...

Asana

Security Risk Manager

San Francisco, CA · On-site

$194K - $220K/yr

Own Asana's security risk management program ... Design and continuously mature a quantitative risk framework - including risk scoring methodologies ...

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How much do quantitative risk manager jobs pay per year?

As of Jul 11, 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.

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.

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Quantitative Risk Manager jobs near you
Member of Global Risk Management, Quantitative Financial Risk

Member of Global Risk Management, Quantitative Financial Risk

Anchorage Digital

Charleston, WV • Remote

Full-time

Re-posted 26 days ago

Job description

At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto.
 
Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking, trading, governance, settlement, and the industry's leading security infrastructure. Home to Anchorage Digital Bank N.A., the first federally chartered crypto bank in the U.S., Anchorage Digital also serves institutions through Anchorage Digital Singapore, Porto by Anchorage Digital, and other offerings.
 
The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. Founded in 2017 in San Francisco, California, Anchorage Digital has offices in New York, New York; Porto, Portugal; Singapore; and Sioux Falls, South Dakota. Learn more at anchorage.com, on X @Anchorage, and on LinkedIn. 

With the evolving landscape of digital threats and an increasing volume of sophisticated attacks by malicious actors, we have a security policy mandating all new hires complete an in-person onboarding process - no exceptions. Security is our foundation and we prioritize physical identity verification and secure IT setup. While our security and IT logistics require physical presence to protect our infrastructure from sophisticated global threats, this move is equally about our Village culture. We believe that a laptop can be shipped, but our culture cannot.


  • Anchorage Digital is looking for a Quantitative Financial Risk Manager to join Global Risk Management. In this role, you will own the development of quantitative analysis tools that power our risk management capabilities across credit, market, and liquidity risk.
  • This is a high-impact, hands-on quantitative role where you will build scalable analytics infrastructure, run real-time analysis when the business needs answers fast, and stress test portfolios under a range of scenarios. You will work at the intersection of financial theory, data science, and engineering. If you thrive in ambiguity, are relently curious, and want to shape how a leading digital asset institution manages risk, this role is for you.
  • People make this organization, and in this role, it is your mission to cultivate and contribute to a culture of risk management, continuous improvement, and strategic innovation. A healthy outcome is a business that is both agile and resilient, capable of navigating the complexities of the crypto market while achieving its strategic goals.
Technical Skills:
  • Design, build, and maintain quantitative analysis tools for credit, market, and liquidity risk assessment
  • Build scalable analytics pipelines in Python to automate reporting, data transformation, and real-time risk monitoring
  • Execute portfolio margin stress tests and scenario analysis under tight timelines, delivering actionable insights to stakeholders
Complexity and Impact of Work:
  • Lead end-to-end development of quantitative analysis tools from problem definition through production deployment with minimal oversight
  • Run ad-hoc real-time analysis when the business needs answers fast and deliver under pressure
  • Navigate ambiguous risk problems by selecting appropriate quantitative methods and articulating trade-offs to stakeholders
  • Break down large projects into manageable workstreams, accurately estimate scope, and deliver on commitments
Organizational Knowledge:
  • Collaborate closely with Trading, Sales, Compliance, Treasury, and Operations to ensure risk analysis and tools are embedded in business decisions
  • Monitor industry trends, regulatory developments, and emerging best practices in quantitative risk management
  • Sharing insights across teams to ensure broad understanding and adoption
Communication and Influence:
  • Translate complex quantitative concepts into clear, actionable insights for technical and non-technical audiences
  • Mentor junior team members on quantitative methods, analytics tooling, and professional development
  • Build relationships across teams to drive adoption of risk frameworks and influence how the organization thinks about risk
You may be a fit for this role if you have:
  • 8+ years of experience in quantitative finance, financial risk management, or a related quantitative discipline
  • Advanced degree (Master's or PhD) in a quantitative field
  • Proven track record of building quantitative analysis tools for risk management (credit, market, liquidity risk)
  • You ask questions, dig into the data, and proactively explore new angles; you're not satisfied with surface-level answers
  • Deep expertise in risk monitoring and reporting, including experience building or operating real-time risk dashboards and producing executive-level risk reports
  • Experience with portfolio stress testing and scenario analysis in a professional setting
  • Experience working with large datasets and analytical tools to support risk analysis
  • Experience with regulators and regulatory exams
  • You drive initiatives independently, proactively identify and solve problems, and take accountability for results
Although not a requirement, bonus points if:
  • You have experience with digital assets, crypto, or blockchain-related financial products
  • You have an understanding of operational risk and how it intersects with credit, market, and liquidity risk
  • You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)
About Anchorage Digital: Who we are
 
The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in  the evolving digital asset ecosystem. As a diverse team of more than 600 members, we are united in one common goal: building the future of finance by providing the foundation upon which value moves safely in the new global economy. 
 
Anchorage Digital is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.
 
Anchorage Digital is an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Anchorage Digital considers qualified applicants regardless of criminal histories, consistent with other legal requirements. “Anchorage Digital” refers to services that are offered either through Anchorage Digital Bank National Association, an OCC-chartered national trust bank, or Anchorage Lending CA, LLC a finance lender licensed by the California Department of Financial Protection and Innovation, License No. 60DBO-11976, or Anchorage Digital Singapore Pte Ltd, a Singapore private limited company, all wholly-owned subsidiaries of Anchor Labs, Inc., a Delaware corporation.
 
Protecting your privacy rights is important to Anchorage Digital, and we work to maintain the trust and confidence of our clients when handling personal or financial information. Please see our privacy policy notices here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.