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Fraud Risk Manager Jobs in Santa Clara, CA (NOW HIRING)

TabaPay

Fraud & Risk Engineer

Palo Alto, CA · On-site

Design configurable rule templates that enable clients and internal users to safely manage ... fraud strategy, risk rule design or decisioning * Must have hands-on experience authoring ...

ALOIS LLC

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Independently manage analytics initiatives in a client-facing and cross-functional environment. What We're Looking For * 3-10 years of experience in Payments Analytics, Fraud Analytics, Risk ...

Avidbank

Commercial Bank Fraud Investigator

San Jose, CA · On-site

$65K - $100K/yr

Collaborate with Operations, BSA/AML, Risk & Compliance, Treasury Management, IT, and frontline teams to support fraud detection, response, and prevention efforts * Provide fraud-related guidance and ...

Avidbank

Commercial Bank Fraud Investigator

San Jose, CA · Remote

$65K - $100K/yr

Collaborate with Operations, BSA/AML, Risk & Compliance, Treasury Management, IT, and frontline teams to support fraud detection, response, and prevention efforts * Provide fraud‑related guidance ...

Avidbank

Commercial Bank Fraud Investigator

San Jose, CA

$65K - $100K/yr

Collaborate with Operations, BSA/AML, Risk & Compliance, Treasury Management, IT, and frontline teams to support fraud detection, response, and prevention efforts * Provide fraudrelated guidance and ...

SpaceXAI

Fraud Analyst

Palo Alto, CA

$100K - $135K/yr

We are seeking a Fraud Analyst to join our BSA/AML team. In this role, you will support the ... Collaborate with Engineering and senior management to investigate complex cases and recommend risk ...

TikTok

Fraud Investigator

San Jose, CA · On-site

$121K - $220K/yr

... management systems, including allegation triage, root-cause analysis, and remediation processes. - Experience performing internal fraud risk assessments and implementing effective remediation and ...

Adobe

Mgr, Fraud Policy and Strategy

San Jose, CA

The Opportunity Join Adobe as a Mgr, Fraud Risk Management and Strategy in our San Jose office! This is an outstanding chance to join a dedicated team where you will play a vital role in protecting ...

BILL

Fraud Strategy Data Scientist

San Jose, CA

... Managers, Engineers, and Business Stakeholders. * Developed, maintained, and refined risk strategy ... Experience in experimental design, fraud typologies that involve onboarding fraud/abuse, and data ...

OKX

Sr Product Manager, Risk Platform

San Jose, CA · On-site

$148K - $195K/yr

The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the ... As the leader of it, you will own and build OKX fraud risk systems and manage the roadmap to enable ...

OKX

Sr Product Manager, Risk Platform

San Jose, CA · On-site

$148K - $195K/yr

The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the ... As the leader of it, you will own and build OKX fraud risk systems and manage the roadmap to enable ...

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

Fraud Risk Manager information

See Santa Clara, CA salary details

$60.5K

$131K

$199.7K

How much do fraud risk manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for fraud 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.

How does a fraud risk manager typically collaborate with other departments to mitigate risks?

Fraud Risk Managers work closely with multiple departments such as compliance, IT, internal audit, and customer service to identify, assess, and address potential fraud risks. They frequently coordinate with data analysts to monitor transactions for suspicious activity and partner with legal teams to ensure regulatory compliance. Regular cross-functional meetings and training sessions are common, allowing them to share insights, update protocols, and respond quickly to emerging threats. Effective communication and teamwork are essential, as fraud prevention is a collaborative effort across the organization.

What are the key skills and qualifications needed to thrive as a fraud risk manager?

To excel as a Fraud Risk Manager, you need expertise in fraud detection, risk assessment, and knowledge of financial regulations, often supported by a degree in finance, accounting, or a related field. Familiarity with data analytics tools, fraud management platforms, and certifications like CFE (Certified Fraud Examiner) are highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across departments and respond swiftly to emerging threats. These skills and qualifications are vital for proactively identifying, mitigating, and preventing fraudulent activities that could harm an organization’s reputation and finances.

What is the difference between Fraud Risk Manager vs Fraud Analyst?

AspectFraud Risk ManagerFraud Analyst
CredentialsCertifications like CFE, CRCM; Bachelor's degree in finance, accounting, or related fieldSimilar certifications; Bachelor's degree often required
Work EnvironmentOversees fraud prevention strategies, manages teams, develops policiesConducts investigations, analyzes data, detects fraud patterns
Industry UsageUsed in banking, finance, insurance, and retail sectorsCommonly employed in similar industries for fraud detection

The Fraud Risk Manager focuses on developing and overseeing fraud prevention strategies, managing teams, and implementing policies. In contrast, the Fraud Analyst primarily conducts investigations, analyzes data, and detects fraudulent activities. Both roles require similar credentials and are vital in fraud prevention within financial and retail sectors, but they differ in scope and responsibilities.

What does a fraud risk manager do?

A Fraud Risk Manager is responsible for identifying, assessing, and mitigating the risk of fraud within an organization. They develop and implement policies, procedures, and controls to prevent and detect fraudulent activities. Their work often involves analyzing data for suspicious patterns, investigating incidents of fraud, and providing training to staff on fraud prevention. Ultimately, they help safeguard the organization's assets and reputation by minimizing the impact of fraudulent activities.

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

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

Fraud Risk Manager jobs near you
Infographic showing various Fraud Risk Manager job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $131,016 per year, or $63 per hour.

Fraud & Risk Engineer

TabaPay

Palo Alto, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 hours 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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