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Risk Engineer Jobs in California (NOW HIRING)

TabaPay

Fraud & Risk Engineer

Palo Alto, CA · On-site

We're building the next generation of scalable, configurable risk decisioning capabilities, and we're looking for a Fraud & Risk Decisioning Engineer to help drive that effort. In this highly hands ...

AIG

$115K - $158K/yr

Make your mark in Risk Engineering AIG's worldwide network of risk engineers work with clients, brokers and underwriters to help identify and improve risk globally for various energy sectors ...

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$114.3K

$189K

How much do risk engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for risk engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Risk Engineer position, and why are they important?

To thrive as a Risk Engineer, you need strong analytical skills, a degree in engineering or a related technical field, and a solid grasp of risk assessment methodologies. Familiarity with tools such as risk modeling software, safety management systems, and certifications like CSP (Certified Safety Professional) or CRM (Certified Risk Manager) is often expected. Excellent problem-solving, communication, and teamwork abilities set exceptional candidates apart in this role. These competencies are crucial for identifying, evaluating, and mitigating risks effectively while collaborating across engineering, safety, and management teams.

What engineers make $200,000 a year?

Senior risk engineers, especially those with extensive experience, specialized skills, and professional certifications like the Certified Risk Manager (CRM), can earn $200,000 or more annually. High-level engineers in industries such as oil and gas, aerospace, or finance often reach this salary level, particularly in senior or managerial roles with advanced technical expertise and leadership responsibilities.

What does a risk engineer do?

A risk engineer assesses and analyzes potential hazards that could impact an organization, focusing on identifying risks related to safety, environment, or operations. They develop strategies to mitigate or manage these risks, often using tools like risk assessment models and safety protocols. Risk engineers typically work in industries such as insurance, manufacturing, or construction and may hold certifications like Certified Risk Manager (CRM).

How much do risk engineers make in the US?

Risk engineers in the US typically earn a median annual salary of around $80,000 to $110,000, depending on experience, industry, and location. Senior risk engineers or those with specialized certifications can earn higher salaries, often exceeding $130,000 annually.

What is a Risk Engineer job?

A Risk Engineer identifies, assesses, and mitigates potential risks that could impact an organization's operations, projects, or assets. They analyze data, conduct risk assessments, and develop strategies to minimize financial, safety, and operational risks. Industries such as insurance, construction, energy, and manufacturing heavily rely on Risk Engineers to ensure regulatory compliance and improve overall safety. Their role involves working with various teams to implement risk management policies and recommend preventive measures.

What are the typical challenges a Risk Engineer faces in their daily work?

Risk Engineers often encounter challenges such as evaluating complex technical systems, ensuring regulatory compliance, and communicating potential risks to non-technical stakeholders. Navigating tight project deadlines while maintaining thorough risk assessments and documentation can also require strong organizational skills. Additionally, balancing proactive risk mitigation with budget and resource constraints is a frequent part of the job. These factors make adaptability, critical thinking, and effective collaboration essential for success in the role.

What engineers make $500,000?

Senior risk engineers, especially those with extensive experience, specialized skills, and certifications such as Chartered Risk Engineer or Professional Engineer licenses, can earn $500,000 or more annually. High compensation is often associated with leadership roles, complex risk assessments, or working in industries like insurance, energy, or aerospace.
What are the most commonly searched types of Risk Engineer jobs in California? The most popular types of Risk Engineer jobs in California are:
What are popular job titles related to Risk Engineer jobs in California? For Risk Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Risk Engineer jobs in California look for? The top searched job categories for Risk Engineer jobs in California are:
What cities in California are hiring for Risk Engineer jobs? Cities in California with the most Risk Engineer job openings:
Risk Engineer jobs near you
Infographic showing various Risk Engineer job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,347 per year, or $55 per hour.
Fraud & Risk Engineer

Fraud & Risk Engineer

TabaPay

Palo Alto, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Who We Are
The world is moving towards instant digital payments and TabaPay is leading the way. We help thousands of Fintechs in the US and Canada instantly move money in and out of accounts and we are actively expanding into other countries. Our customers represent the hottest verticals in the financial service industry such as neobanks, challenger brokers, gaming and wallets. TabaPay is a highly profitable rocketship that processes billions of dollars each year. To learn more visit www.tabapay.com.
At TabaPay, delivering best-in-class financial crime prevention is central to our mission. We're building the next generation of scalable, configurable risk decisioning capabilities, and we're looking for a Fraud & Risk Decisioning Engineer to help drive that effort.
In this highly hands-on individual contributor role, you'll design, build, test, deploy, monitor, and optimize fraud detection and risk decisioning rules that transform fraud trends, analyst insights, client needs, and regulatory requirements into high-impact solutions. You'll own the full lifecycle of decisioning logic while helping establish the standards, processes, and engineering practices that will scale TabaPay's Risk Platform.
This foundational, high-visibility role sits at the intersection of fraud strategy and technical execution. You'll partner closely with Financial Crimes Compliance, Fraud Risk, Chargebacks, Product, Engineering, Operations, Client Services, and Insights to strengthen our real-time fraud and financial crime detection capabilities. We are looking for a builder, investigator, analyst, and technical problem solver who is passionate about creating intelligent risk solutions.
Success in the first year looks like:
  • Deliver a portfolio of high-quality production decisioning rules.
  • Establish repeatable standards for rule design, testing and documentation.
  • Improve rule quality and deployment velocity through reusable templates and engineering best practices.
  • Build the foundation for a scalable decisioning engineering practice.

What You'll Do
  • Assume ownership of all fraud and risk monitoring and blocking rules within our risk monitoring tool(s) across all use cases.
  • Partner with Risk Product, Insights, Fraud Operations and Financial Crimes Compliance to define requirements for high impact rules that serve both clients and internal stakeholders as customers.
  • Create rule packages: precise decision logic, assumptions, test cases, acceptance criteria, documentation and performance monitoring plans.
  • Design decision architecture and build reusable decision frameworks.
  • Design configurable rule templates that enable clients and internal users to safely manage decisioning through self-service capabilities
  • Perform rigorous validation before shipping rules for deployment
  • Work closely with our Insights team to test rule efficacy - do the rules combat fraud, control for false positives, and deliver measurable value for our customers.
  • Craft precise risk decisioning workflows for all individual rules as well as the decision tree designs across use cases and the company level portfolio view.
  • Leverage AI-assisted development tools to accelerate rule design, documentation, testing, validation and ongoing optimization
  • Evaluate emerging AI techniques for fraud rule generation, simulation and decision explainability.
  • Apply engineering discipline to rule authorship - versioning, testing, modularity, documentation.
  • Present to stakeholders why the rule exists, how it works, how it fits within the risk strategy and the expected customer impact
  • Drive rule experimentation through A/B testing, shadow mode assessments and phased rollouts in production
  • Staying current. You keep pace with the fraud monitoring and decisioning tooling landscape (rules engines, feature stores, decisioning platforms, emerging typologies) and bring ideas home.

What We're Looking For
  • Bachelor's Degree in Computer Science, Systems Engineering, Mathematics or similar
  • 4+ years of work in fraud strategy, risk rule design or decisioning
  • Must have hands-on experience authoring, configuring and tuning rules in a decisioning or rules engine such as Featurespace, Feedzai, DataVisor, Riskified or a comparable risk decisioning platform.
  • A systems thinker with the ability to see how one rule interacts with the rest
  • Proven proficiency with SQL and either Java or Python for advanced features
  • Proven proficiency with JSON data formats, APIs, REST, Git
  • Knowledge of fraud and financial crime typologies
  • Ability to build test cases and rule design workflows in the syntax of the risk tool(s)
  • Ability to translate ambiguous rule requests from a variety of stakeholders (technical and non-technical) and translate those requests into precise rule logic.

Preferred
  • Master's Degree in a rigorous data discipline or mathematics
  • Experience within payments, fintech or financial services is a strong plus
  • Familiarity with BSA/AML requirements and typologies
  • Experience with AI-assisted rule design, testing, and iteration
  • Experience with Graph analytics, device intelligence, biometrics, experiment design
  • ML Modeling experience and/or training is a plus
  • Experience with business intelligence UIs is a plus
  • Familiarity with SDLC processes, release management and version control

We are ideally looking for people in the Bay Area who are available to come into our Palo Alto HQ 2-3 times a week.
The pay range for this position is $125,000; however, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.
Benefits
TabaPay offers the following benefits:
  • 100% employer-paid health care insurance including medical, dental, vision, and life insurance (for employee only)
  • Employer 401K Matching
  • Generous and Flexible PTO

EEO Employer: TabaPay is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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