ZipRecruiter

Log In

1

Internship Quantitative Risk Modeler Jobs in San Jose, CA

Asana

Security Risk Manager

San Francisco, CA · Hybrid

$194K - $220K/yr

Design and continuously mature a quantitative risk framework - including risk scoring methodologies, likelihood and impact modeling, and risk appetite thresholds - that enables consistent, data ...

Asana

Security Risk Manager

San Francisco, CA · On-site

$194K - $220K/yr

Design and continuously mature a quantitative risk framework - including risk scoring methodologies, likelihood and impact modeling, and risk appetite thresholds - that enables consistent, data ...

OpenAI

Quantitative Intelligence Analyst

San Francisco, CA · On-site

$198K - $320K/yr

You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and ...

Waymo

Manager, Resilience Risk

Mountain View, CA · On-site

Experience evolving subjective, qualitative risk matrices into structured, data-driven frameworks utilizing capability maturity (e.g., CMMI) and quantitative risk (e.g., FAIR or Value-at-Risk) models.

Poesis

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

About the Role We're hiring a Quantitative Developer to help turn research ideas into production ... Exposure to portfolio optimization, risk modeling, or financial time-series. * Skill with git ...

next page

Showing results 1-20

All JobsQuantitative Risk Modeler JobsInternship Quantitative Risk Modeler JobsInternship Quantitative Risk Modeler Jobs in San Jose, CA

Internship Quantitative Risk Modeler information

What is the difference between Internship Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectInternship Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften requires a degree in finance, economics, or quantitative disciplines; certifications like FRM or CFA are common
Work EnvironmentInternship setting, learning-focused, supervised by senior staffFull-time professional role, responsible for risk assessment and modeling
Employer & Industry UsageUsed in banks, asset management firms, and financial institutions for training and entry-level rolesCommon in financial services, banking, and investment firms for ongoing risk management

The Internship Quantitative Risk Modeler is an entry-level, learning-focused role typically held by students or recent graduates, whereas the Quantitative Risk Analyst is a full-time professional responsible for analyzing and managing risk using quantitative models. The internship provides foundational experience, while the analyst role involves ongoing risk assessment and decision-making.

What are popular job titles related to Internship Quantitative Risk Modeler jobs in San Jose, CA?

For Internship Quantitative Risk Modeler jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Internship Quantitative Risk Modeler jobs in San Jose, CA look for?

The top searched job categories for Internship Quantitative Risk Modeler jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Internship Quantitative Risk Modeler jobs?

Cities near San Jose, CA with the most Internship Quantitative Risk Modeler job openings:

Internship Quantitative Risk Modeler jobs near you

Safety Engineer - Risk Management

Mountain View, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

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

Apply