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Fraud Risk Analyst Jobs in California (NOW HIRING)

Cathay Bank

Sr. Insider Risk Analyst

El Monte, CA · On-site

The Sr. Insider Risk Analyst will support the Insider Risk Program by monitoring insider-risk ... IP theft, sabotage, fraud, espionage, unintentional. • Knowledge of information collection tools ...

CityFirst Bank

BSA/AML and Fraud Manager

Los Angeles, CA · On-site

$130K - $140K/yr

In parallel, the role leads the development of a comprehensive fraud risk program spanning deposit and lending operations, including fraud detection, investigations, analytics, and loss mitigation.

TikTok

Fraud Investigator

San Jose, CA · On-site

$121K - $220K/yr

... analysis, and remediation processes. - Experience performing internal fraud risk assessments and implementing effective remediation and control measures within a business environment. - Strong ...

Avidbank

Commercial Bank Fraud Investigator

San Jose, CA · On-site

$65K - $100K/yr

The Fraud Specialist/Investigator independently performs fraud analytics, transaction monitoring, and investigative reviews in support of the Bank's fraud risk management program. This position ...

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Fraud Risk Analyst information

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How much do fraud risk analyst jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for fraud risk analyst in California is $42.74, according to ZipRecruiter salary data. Most workers in this role earn between $31.06 and $52.45 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Fraud Risk Analyst, and why are they important?

To thrive as a Fraud Risk Analyst, you typically need strong analytical abilities, attention to detail, and a background in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and sometimes certifications such as CFE (Certified Fraud Examiner) are valuable. Excellent problem-solving, critical thinking, and communication skills help analysts effectively investigate suspicious activities and present findings. These skills are crucial for identifying and mitigating fraud risks, protecting organizational assets, and ensuring regulatory compliance.

What does a Fraud Risk Analyst do?

A Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze transactions, monitor patterns, and use various tools and techniques to detect potential fraud. Their work helps protect the company from financial losses and ensures compliance with relevant laws and regulations. They may also recommend improvements to internal controls and work closely with other departments to develop anti-fraud strategies.

What are some common challenges faced by Fraud Risk Analysts in a rapidly evolving digital landscape?

Fraud Risk Analysts often face the challenge of keeping up with increasingly sophisticated fraud schemes and rapidly changing technologies. Staying ahead requires continuous learning, adapting to new tools, and proactively identifying emerging risks. Collaboration with IT, data science, and compliance teams is essential to implement effective controls and respond quickly to potential threats. Additionally, balancing thorough investigations with the need for efficient customer experiences can be demanding, making strong analytical and communication skills vital.
What are the most commonly searched types of Fraud Risk Analyst jobs in California? The most popular types of Fraud Risk Analyst jobs in California are:
What are popular job titles related to Fraud Risk Analyst jobs in California? For Fraud Risk Analyst jobs in California, the most frequently searched job titles are:
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Fraud Risk Analyst jobs near you
Senior Credit Risk Analyst

Senior Credit Risk Analyst

Artemis Consultants

San Jose, CA • On-site

Full-time

Re-posted 5 hours ago

Job description

COMPANY OVERVIEW:
The company a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by a top private equity firm, they drive innovation through significant investments and an entrepreneurial spirit.
They focus on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, they deliver material impact on clients' topline and streamline their operations. They specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.
With a client base spanning 30 countries, they have a global presence to enables them to offer localized expertise with a worldwide perspective.
POSITION OVERVIEW:
We are seeking a Senior Credit Risk Analyst with strong unsecured lending experience to support client's consumer credit products. This role will focus on credit card and personal loan portfolios, leveraging data to drive risk strategies, optimize underwriting, and improve portfolio performance.
You will work closely with cross-functional partners in Risk, Product, Data Science, and Engineering to design, implement, and monitor credit risk strategies that balance growth, risk, and customer experience.
RESPONSIBILITIES:
  • Develop, implement, and monitor credit risk strategies for unsecured lending products (with a strong focus on credit cards).
  • Analyze portfolio performance, customer behavior, and risk trends to identify opportunities to improve approval rates, loss performance, and profitability.
  • Design and execute A/B tests and experiments to evaluate new risk policies, cutoffs, and treatment strategies.
  • Build and maintain dashboards, reports, and performance tracking for key risk metrics (e.g., delinquency, losses, vintage curves, line utilization, approval/decline rates).
  • Partner with data science and modeling teams to translate model outputs into actionable strategies and policy rules.
  • Use SQL and Python to extract, clean, and analyze large datasets from multiple sources.
  • Present insights, recommendations, and business cases to senior stakeholders in a clear, structured manner.
  • Support regulatory and compliance requirements by ensuring risk strategies and analyses meet internal and external standards.
  • Contribute to continuous improvement of data, tools, and processes within the Credit Risk and Analytics function.

PREFERRED PROFILE:
  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science, Finance) or equivalent practical experience.
  • 5+ years of hands-on experience in Credit Risk within unsecured lending: ideally in: Credit cards (strongly preferred), and/or Personal loans or other unsecured consumer lending products.
  • Strong SQL skills with demonstrated experience querying and manipulating large, complex datasets.
  • Proficiency in Python for data analysis, modeling support, and automation (e.g., pandas, NumPy, basic visualization libraries).
  • Proven track record of using analytics to solve business problems in credit risk (e.g., underwriting, line management, pricing, collections, fraud/risk trade-offs).
  • Solid understanding of core credit risk concepts: scorecards, cutoffs, PD/LGD/EAD, vintage analysis, loss curves, risk-based pricing, and portfolio segmentation.
  • Strong problem-solving skills with the ability to structure ambiguous problems, form hypotheses, and drive analyses end-to-end.
  • Excellent communication skills, with the ability to translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders.
  • Experience working in a fintech, payments, or digital lending environment.
  • Familiarity with credit bureau data and alternative data sources.
  • Experience with experimentation (A/B testing), champion-challenger frameworks, and test design.
  • Exposure to machine learning-driven risk models and their application in production environments.
  • Experience with BI/visualization tools (e.g., Tableau, Power BI, Looker) for dashboarding and reporting.
  • Master's degree in a quantitative discipline is a plus.

Personal Attributes Desired:
  • Data-driven, detail-oriented, and intellectually curious.
  • Comfortable working in a fast-paced, evolving environment.
  • Collaborative mindset with the ability to work effectively across functions and geographies.
  • Ownership mentality and bias for action; able to drive initiatives from concept to execution.

LOCATION: San Jose, CA (Hybrid)
Job ID# 3599749
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