Staff Fraud Risk Analyst (AI)

Location: San Diego or Mountain View, California, United States

Base pay: $163,000–$221,000 per year in San Diego; compensation may also include a cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Lead multi-quarter initiatives analyzing fraudulent behavior across Credit Karma registration, login, account recovery, and Marketplace activity.
• Identify risk trends and translate findings into policy, product, launch, experiment, and roadmap recommendations.
• Make decisions on high-risk cases, own resolutions, and document post-incident learnings.
• Partner with product, engineering, data science, and investigations to build scalable controls balancing fraud loss and member experience.
• Define and track fraud KPIs, identify data and metric gaps, build dashboards, and advocate for standardized fraud datasets.
• Use AI and GenAI to accelerate analysis, discover fraud patterns, automate workflows, explain complex analyses to leadership, and mentor analysts.

Requirements

• 8+ years of relevant experience in fraud prevention, risk, or a similar analytical role, with strong business acumen.
• Advanced SQL and Python skills for profiling, segmentation, and aggregation on large datasets; BigQuery or Databricks preferred.
• Ability to identify fraud patterns and risk in large datasets and use statistical analysis to support policy recommendations.
• Experience with fraud KPIs including precision, recall, chargeback, customer insult rate, ATO, and fake-account rates, plus data visualization tools such as Tableau, Looker, Excel, or GSheets.
• Decisive judgment, ownership of outcomes, a fraud and risk mindset, and familiarity with the product surface being protected.
• Outstanding communication and influencing skills, including driving decisions across organizational boundaries.
• Detail-oriented, proactive, accountable, collaborative, and empathetic approach.
• Bachelor’s degree in a quantitative field or equivalent experience.

Nice to have

• Experience with identity, authentication, or account-lifecycle fraud, including ATO, account creation abuse, or recovery abuse.
• Experience with Marketplace, lead, or partner fraud.
• Hands-on experience applying AI or GenAI to fraud detection or analytics workflows.
• Master’s degree.

Culture & Benefits

• Work with product managers, engineers, data scientists, and investigations partners to protect customers, partners, and the business.
• Competitive compensation with a pay-for-performance approach.
• Potential cash bonus, equity rewards, and benefits under applicable plans and programs.
• Pay is determined by job-related knowledge, skills, experience, and work location, with regular fair-pay comparisons across ethnicity and gender categories.