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Gaming Fraud Risk Analyst Jobs in California (NOW HIRING)

Intuit

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the ...

Intuit

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the ...

Intuit

Staff Fraud Risk Analyst

Mountain View, CA

$176K - $238K/yr

As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the ...

ALOIS LLC

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Partner closely with Product, Risk, Operations, and Engineering stakeholders to solve complex ... Fraud/risk analytics * Transaction analytics * Hands-on expertise in SQL is required; Python ...

TabaPay

Fraud & Risk Engineer

Palo Alto, CA · On-site

... gaming and wallets. TabaPay is a highly profitable rocketship that processes billions of dollars ... We are looking for a builder, investigator, analyst, and technical problem solver who is passionate ...

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Gaming Fraud Risk Analyst information

What does a gaming fraud risk analyst do?

A Gaming Fraud Risk Analyst is responsible for identifying, investigating, and preventing fraudulent activities within online or offline gaming platforms. They analyze player behavior, monitor transactions, and use various tools and data analytics to detect suspicious activities such as account takeovers, payment fraud, or cheating. Their role helps gaming companies maintain fair play, protect user accounts, and comply with legal regulations. They also collaborate with other teams to improve fraud prevention strategies and minimize financial losses.

What are some common challenges faced by gaming fraud risk analysts in the gaming industry?

Gaming Fraud Risk Analysts often encounter challenges such as staying ahead of rapidly evolving fraud techniques and distinguishing between legitimate user behavior and suspicious activity. They must analyze large volumes of transactional and behavioral data, which requires attention to detail and proficiency with analytical tools. Collaboration with engineering, customer support, and compliance teams is essential to implement effective anti-fraud measures and respond quickly to emerging threats. Continuous learning and adaptability are key, as fraud methods and gaming technologies frequently change.

What are the key skills and qualifications needed to thrive as a gaming fraud risk analyst, and why are they important?

To thrive as a Gaming Fraud Risk Analyst, you need strong analytical skills, attention to detail, and a solid understanding of gaming industry regulations, often supported by a degree in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and knowledge of anti-money laundering (AML) systems are typically required. Critical thinking, problem-solving, and effective communication are valuable soft skills for investigating suspicious activity and collaborating with other departments. These skills are essential to accurately identify fraudulent behavior, minimize risks, and protect both the company and its players.

What are popular job titles related to Gaming Fraud Risk Analyst jobs in California?

For Gaming Fraud Risk Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Gaming Fraud Risk Analyst jobs in California look for?

The top searched job categories for Gaming Fraud Risk Analyst jobs in California are:

What cities in California are hiring for Gaming Fraud Risk Analyst jobs?

Cities in California with the most Gaming Fraud Risk Analyst job openings:

Gaming Fraud Risk Analyst jobs near you
Infographic showing various Gaming Fraud Risk Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 40% In-person, 20% Hybrid, and 40% Remote job distribution.

Staff Fraud Risk Analyst

Intuit

Mountain View, CA • On-site

$176K - $238K/yr

Full-time

Re-posted 24 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

108th of 246 rated software companies

Job description

One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity.
Intuit's Business Credit Card, a Quickbooks Capital product, is one of the company's most exciting new product launches, with aggressive growth plans and significant customer demand on the horizon. We are looking for top talent and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply.
As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the product life cycle. You will be deeply familiar with typical fraud behaviors involving identity fraud, bust out, check kiting, account take over and transaction fraud, and will develop adaptive strategies to prevent and minimize fraud losses. You will partner heavily with the Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. You will also partner with the credit risk team in developing holistic approaches to mitigating total losses and setting program performance expectations. You will strive towards striking the optimal balance between great customer experience, program profitability and fraud risk mitigation.
You will be continually evaluating and onboarding new products and tools for fraud underwriting and exposure management and will actively partner with stakeholders across lending products to develop a coordinated strategy for external vendor usage. You will be an active proponent of leveraging AI and automation in developing analytical insights, updating models and deploying strategy changes.
Responsibilities
  • Develop, implement, and continuously refine fraud risk management strategies across credit card underwriting, transaction monitoring, and exposure management
  • Leverage data driven and machine learning-enabled approaches to devise fraud defenses and rapidly identify emerging fraud trends in the program
  • Continually evaluate fraud defenses through quantitative analysis of hit rates, false positive rates, A/B test results and cost-benefit financial analyses
  • Partner with the Data Science team to identify modeling needs and enhance fraud model performance
  • Develop fraud monitoring metrics, early warning indicators, trend analyses and report them through performance dashboards to various stakeholders
  • Drive cross-functional collaboration with Product, Engineering, Compliance, Marketing, and Operations to balance fraud prevention with seamless customer experience
  • Evaluate, onboard, and manage external fraud tools, vendors, and partnerships to ensure state-of-the-art capabilities
  • Leverage AI and automation to improve fraud detection speed, scalability, and precision

Qualifications
  • Bachelor's degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines
  • Minimum 6 years of experience in Fraud risk analytics and risk management
  • Familiarity with risk scoring and modeling techniques including regression modeling, multivariate analyses and machine learning, and their application in fraud prevention
  • Proven expertise with industry-standard tools, fraud platforms, and best-in-class risk models
  • Excellent analytical and problem-solving skills with a proven track record of converting analysis insights into business recommendations
  • Exceptional verbal and written communication skills to effectively communicate complex ideas and influence audiences in decision making
  • Proficiency with analytical packages and tools such as SQL, SAS, Python, R and Tableau

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $176,500 - $238,500

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