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Associate Fraud Analyst Jobs in California (NOW HIRING)

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Associate Fraud Analyst information

What does an associate fraud analyst do?

An Associate Fraud Analyst is responsible for detecting and investigating potential fraudulent activities within an organization, often in the financial or retail sector. They review transactions and account activities for signs of fraud, analyze data to spot irregularities, and report suspicious findings to senior staff or law enforcement. Their work helps protect companies and customers from financial losses by identifying and preventing fraud schemes. Associate Fraud Analysts typically use specialized software and follow strict protocols to ensure accuracy and compliance.

What is the difference between Associate Fraud Analyst vs Fraud Investigator?

AspectAssociate Fraud AnalystFraud Investigator
CredentialsHigh school diploma or equivalent; some roles may prefer a bachelor's degreeHigh school diploma; some roles may require certifications like ACFE's CFE
Work EnvironmentOffice setting, analyzing transactions, monitoring fraud alertsOffice or remote, conducting investigations, interviewing witnesses
Employer & IndustryFinancial institutions, credit card companies, e-commerceFinancial institutions, law enforcement, insurance companies
Search & Comparison IntentYes, often compared for entry-level roles in fraud detectionYes, for more in-depth investigation roles

The Associate Fraud Analyst typically handles initial transaction monitoring and fraud alerts, requiring basic analytical skills and industry knowledge. Fraud Investigators perform deeper investigations, often involving interviews and evidence collection. Both roles are essential in combating fraud but differ in scope and complexity.

What are the typical challenges an associate fraud analyst faces when distinguishing between legitimate and suspicious transactions?

As an Associate Fraud Analyst, one of the main challenges is accurately identifying fraudulent activity without causing unnecessary disruptions to legitimate customers. This requires balancing the use of automated detection tools with keen analytical skills to assess nuanced patterns and behaviors. The role often involves reviewing large volumes of transaction data and making quick decisions, which can be stressful but rewarding as you directly help protect both the company and its customers. Collaboration with senior analysts and other departments, such as customer service or compliance, is common to resolve complex cases and improve fraud prevention strategies.

What are the key skills and qualifications needed to thrive as an associate fraud analyst, and why are they important?

To thrive as an Associate Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like Excel or SQL, and sometimes certifications such as CFE (Certified Fraud Examiner) are typically required. Excellent problem-solving abilities, effective communication, and integrity are crucial soft skills for this role. These competencies are vital for accurately identifying fraudulent activities, minimizing financial losses, and maintaining organizational trust.
What are the most commonly searched types of Fraud Analyst jobs in California? The most popular types of Fraud Analyst jobs in California are:
What are popular job titles related to Associate Fraud Analyst jobs in California? For Associate Fraud Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Associate Fraud Analyst jobs in California look for? The top searched job categories for Associate Fraud Analyst jobs in California are:
What cities in California are hiring for Associate Fraud Analyst jobs? Cities in California with the most Associate Fraud Analyst job openings:
Associate Fraud Analyst jobs near you
Infographic showing various Associate Fraud Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Financial Crimes Data Scientist

East West Bank

Pasadena, CA • On-site

$100K - $200K/yr

Full-time

Re-posted 3 days ago

East West Bank rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

118th of 170 rated banks

Job description

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.


Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and large-scale financial data to identify emerging threats, enhance detection effectiveness, reduce false positives, and support regulatory compliance across financial crime risk programs.


A Financial Crimes Data Scientist develops, validates, and deploys advanced analytics and machine learning solutions to detect, prevent, and investigate financial crimes, including money laundering, fraud, sanctions violations, and terrorist financing.

Key Responsibilities
  • Design, build, validate, and deploy in-house detection models for AML, fraud, and other financial crime risks.
  • Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal and external data sources.
  • Create and optimize transaction monitoring scenarios and machine learning-driven alert generation frameworks.
  • Implement model deployment pipelines and production monitoring to ensure effectiveness and regulatory compliance.
  • Conduct feature engineering, model tuning, and performance assessment to improve precision, recall, and operational efficiency.
  • Partner with Compliance, BSA/AML, Fraud, Investigations, and Technology teams to translate emerging risks into scalable detection strategies.
  • Reduce false positives while increasing the identification of high-risk activity and suspicious behavior.
  • Support model governance, validation, documentation, and regulatory examinations.
  • Perform other duties as assigned.
Core Expertise
  • Financial Crime Risk Management
  • AML/BSA Compliance
  • Fraud Analytics
  • Machine Learning & AI
  • Graph and Network Analytics
  • Entity Resolution
  • Transaction Monitoring
  • Model Development & Deployment
  • Python, SQL, Spark, Databricks
  • Cloud Analytics Platforms (Azure/AWS)

  • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
  • Statistics – Good applied statistical skills, including knowledge of statistical tests, behavior clustering, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. 
  • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. 
  • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. 
  • Experience with Data Visualization Tools like Tableau and Power BI that help to visually encode data
  • Network/Link Analytics
  • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
  • Strong Software Engineering Background
  • Hands-on experience with data science tools
  • Problem-solving aptitude
  • Analytical mind and great business sense

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.


The base pay range for this position is USD $100,000.00/Yr. - USD $200,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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