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Quantitative Risk Analyst Intern Jobs in Seattle, WA

Zoox

Senior Product Security Engineer - QRA

Seattle, WA · On-site

$217K - $307K/yr

Prior experience with quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior experience with the security analysis ...

Zoox

Senior Product Security Engineer - QRA

Seattle, WA · On-site

$217K - $307K/yr

Prior experience with quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior experience with the security analysis ...

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All JobsQuantitative Risk Analyst Intern JobsQuantitative Risk Analyst Intern Jobs in Seattle, WA

Quantitative Risk Analyst Intern information

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$74K

$123.3K

$165.6K

How much do quantitative risk analyst intern jobs pay per year?

As of Aug 22, 2026, the average yearly pay for quantitative risk analyst intern in Seattle, WA is $123,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $149,100.00 per year, depending on experience, location, and employer.

What does a quantitative risk analyst intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

What types of projects and responsibilities can a quantitative risk analyst intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.

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

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What is the difference between Quantitative Risk Analyst Intern vs Quantitative Risk Analyst?

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What are the most commonly searched types of Quantitative Risk Analyst jobs in Seattle, WA?

The most popular types of Quantitative Risk Analyst jobs in Seattle, WA are:

What are popular job titles related to Quantitative Risk Analyst Intern jobs in Seattle, WA?

For Quantitative Risk Analyst Intern jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Analyst Intern jobs in Seattle, WA look for?

The top searched job categories for Quantitative Risk Analyst Intern jobs in Seattle, WA are:

Quantitative Risk Analyst Intern jobs near you
Infographic showing various Quantitative Risk Analyst Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $123,286 per year, or $59.3 per hour.

Senior Product Security Engineer - QRA

Zoox

Seattle, WA • On-site

$217K - $307K/yr

Full-time

Medical, Life, PTO

Posted 18 days ago

Job description

The Product Security Threat Analysis and Security Standards team is responsible for conducting structured security analyses of Zoox products and applying security standards judiciously throughout the System Development Life Cycle at Zoox. In this role, you'll bring a robust background in systems engineering, coupled with a demonstrated passion and concrete expertise in cybersecurity.

You should possess proven skills in translating your analysis into high-quality written deliverables. Additionally, you should have a demonstrated ability to identify and evaluate threats across both wireless and wired communication channels in automotive systems.

In this role, you will:
  • Perform Quantitative Risk Assessment by quantifying security related safety risks, collaborating with cross functional teams particularly safety teams to ensure alignment with safety and security objectives while supporting risk-informed engineering decisions.
  • Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem consisting of a custom-designed and built vehicle fleet as well as a portfolio of cloud services.
  • Define cybersecurity requirements and maintain a catalog of cybersecurity controls to establish secure baselines.
  • Interface with a multitude of engineering teams within Product Security as well as across software and hardware engineering. Build and maintain a strong understanding of the underlying engineering constraints and factor that understanding into the analysis and recommendations.
  • Analyze existing and emerging standards in cybersecurity (both general and domain-specific) and distill the analysis into a plan for adoption that is well-grounded and focused on tangible business impact.
Qualifications
  •  Master's degree in CS or related engineering field (software, hardware, systems) and 7+ years of experience
  • A strong general systems engineering background along with a demonstrated passion and concrete expertise in cybersecurity
  • Prior experience with quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks)
  • Prior experience with the security analysis of complex embedded systems and a demonstrated skill in turning the analysis into high-quality written deliverables
  • Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory work products
 
Bonus Qualifications
  • Direct, demonstrated experience with (including the practical application of) ISO 21434, UNECE R155, NIST CSF, SOC2 Type2 (and similar frameworks and standards) will be considered an advantage.
  • Experience with the security analysis of complex cyber-physical systems and automotive Systems on Chips (SoCs), including on-chip security features and various onboard communication interfaces (e.g., UDS, JTAG, CAN/LIN, I2C, SPI)
  • Familiarity with common cloud deployment architecture and frameworks
$217,000 - $307,000 a year
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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.
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