Staff Fraud and Risk Analyst (Neobanking)

Location: New York, New York, or Mountain View, California

Base pay: New York $168,500–$228,000 annually; Mountain View, California $176,500–$238,500 annually. Additional cash bonus, equity rewards, and benefits may apply.

Company

hirify.global is a global financial technology platform serving consumers, small businesses, and self-employed customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Develop end-to-end fraud risk policies for consumer lending, banking, and money movement products.
• Mine large-scale account and transactional data to build and optimize fraud strategies and translate findings into business plans.
• Lead risk policy work from opportunity identification and testing through production launch and performance monitoring.
• Partner with Risk Operations, Data Science, Product, Engineering, Compliance, and Analytics teams on segmentation, portfolio analysis, and strategy development.
• Evaluate third-party data providers for stolen identity, account takeover, and related exposure risks.
• Design experiments, estimate key metrics, and respond to fraud-related events and periods of elevated activity.

Requirements

• 5+ years of relevant experience with a bachelor’s degree in Statistics, Mathematics, Finance, Data Science, or a related quantitative field; or an MS/PhD with 2+ years of relevant experience.
• Experience with fraud risk, consumer lending or line-of-credit risk policies, fraud detection, and identity checks.
• Strong analytical and business judgment, including experience designing experiments and using data-driven insights to solve business problems.
• Proficiency with SQL, Excel, Python, R, and data visualization tools.
• Strong communication and partnership skills for influencing business and technical stakeholders.
• Ability to work in New York, New York, or Mountain View, California.

Nice to have

• Experience in fintech, neobanking, crypto, or money movement.
• Familiarity with Hive, Hadoop, and related big data technologies.

Culture & Benefits

• Cross-functional collaboration across risk, operations, data science, product, engineering, analytics, and compliance.
• Work focused on protecting customers while supporting growth and trust in financial products.
• Performance-based cash bonus, equity rewards, and employee benefits.
• Fast-paced environment requiring responsiveness and decisive action during peak fraud activity.