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Quantitative Risk Manager Jobs in Santa Clara, CA

Waymo

Manager, Resilience Risk

Mountain View, CA · On-site

... Safety Management System (SMS). * Develop, maintain, and own the Enterprise Resilience Risk ... and quantitative risk (e.g., FAIR or Value-at-Risk) models. * Experience in highly regulated ...

Roblox

Senior Security GRC Analyst

San Mateo, CA

$109K - $142K/yr

Our program takes a balanced, "right-sized" approach to security governance - combining qualitative and quantitative risk management methodologies, including Factor Analysis of Information Risk (FAIR ...

Waymo

Insurance Risk Management Analyst

Mountain View, CA · On-site

$125K - $152K/yr

Analytical and quantitative aptitude, comfortable navigating spreadsheets and AI tools to analyze Waymo's insurance and risk management programs. We prefer: * Experience working within innovative ...

Lead

Senior Fintech Risk Analyst

Sunnyvale, CA · On-site

$122.72 - $137.50/hr

Execute high-priority quantitative and qualitative risk assessments on complex fintech partner programs, expertly managing tight deadlines and competing analytical priorities. * Execute Fintech ERM ...

Ahuora

Portfolio Manager

San Jose, CA · On-site

$150 - $300/hr

Risk Management: Identify, monitor, and actively manage portfolio risks in real time, employing quantitative and qualitative methodologies to ensure sound positioning. * Performance Analysis:

Intuit

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

Bachelor's degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines * Minimum 6 years of experience in Fraud risk analytics and risk management * Familiarity ...

Intuit

Staff Fraud Risk Analyst

Mountain View, CA

$176K - $238K/yr

Bachelor's degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines * Minimum 6 years of experience in Fraud risk analytics and risk management * Familiarity ...

Intuit

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

Bachelor's degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines * Minimum 6 years of experience in Fraud risk analytics and risk management * Familiarity ...

Roblox

Senior Security GRC Analyst

San Mateo, CA · On-site

$209K - $271K/yr

Our program takes a balanced, "right-sized" approach to security governance - combining qualitative and quantitative risk management methodologies, including Factor Analysis of Information Risk (FAIR ...

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All JobsQuantitative Risk JobsQuantitative Risk Manager JobsQuantitative Risk Manager Jobs in Santa Clara, CA

Quantitative Risk Manager information

See Santa Clara, CA salary details

$60.5K

$131K

$199.7K

How much do quantitative risk manager jobs pay per year?

As of Aug 31, 2026, the average yearly pay for quantitative risk manager in Santa Clara, CA is $131,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $151,500.00 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 Santa Clara, CA?

For Quantitative Risk Manager jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Manager jobs in Santa Clara, CA look for?

The top searched job categories for Quantitative Risk Manager jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Quantitative Risk Manager jobs?

Cities near Santa Clara, CA with the most Quantitative Risk Manager job openings:

Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in Santa Clara, CA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $131,016 per year, or $63 per hour.

Safety Engineer - Risk Management

Waymo

Mountain View, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.
In this hybrid role, you will report to Risk Management, Safety Engineer
You will:
  • You will architect best practices for risk assessment methodologies, including publishing internal guidance on risk model, data sources and computation methods.
  • You will partner with domain experts from systems, hardware, software, and operations to build robust risk assessments with sustainable overhead for execution and flexibility in the face of an expanding product scope.
  • You will help define what test coverage and field monitoring is necessary to ensure regression protection.
  • You will identify stakeholders, learn their pain points, and work to unblock barriers to scale by streamlining rate limiting processes, automating repetitive tasks, and developing tools to enable future projects. You continously evaluate the tools available inside and outside the team/company/industry, using the right ones to unlock increased scale without compromising on rigor.
  • You will translate complex probabilistic risk models and statistical analyses into clear, actionable safety arguments and executive summaries for technical leaders, cross-functional partners, and safety review boards.
  • You will champion and promote a robust safety culture and the continuous improvement of the Waymo safety program across the engineering and operations organizations.

You have:
  • An advanced degree in Computer Science, Robotics, Engineering or other relevant technical field OR 4 years of practical experience involving safety risk assessments and quantitative statistical methods.
  • Proven experience developing quantitative risk models, Probabilistic Risk Assessments (PRA), or reliability analyses using statistical and mathematical techniques (e.g., Monte Carlo simulations, uncertainty modeling, distribution fitting).
  • Proficiency in Python, R, or SQL for data manipulation, statistical evaluation, and building automated risk analysis scripts (focusing on data analysis and modeling rather than production software infrastructure).
  • Strong foundation in the process of risk management, including the end-to-end lifecycle of risk: identification, assessment, mitigation and acceptance of risk (e.g. following ISO 31000/31010 or equivalent standards).
  • Solid understanding of safety critical system designs and the systems engineering "Verification and Validation" process.
  • Demonstrated technical project management skills with the ability to effectively manage multiple parallel, cross-functional safety-critical projects and teams. Ability to thrive in ambiguity.

We prefer:
  • Deep background in data science and statistics with a focus on analyzing large data sets for quantitative risk reduction, safety insights, and performance assessment.
  • Experience performing system safety risk management in autonomous vehicles, aerospace, defense, robotics, rail, or medical device industries.
  • Experience mentoring or training engineering teams on quantitative risk assessment methods and safety principles.
  • Experience with C++ and Python.
  • Success as a safety culture champion, influencing engineering culture, ensuring safety is a first-class citizen in every design discussion.
  • Proven leadership experience in working with external partners, contractors, suppliers, and regulatory bodies/auditors.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$204,000-$252,000 USD

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