Staff Fraud and Risk Analyst (Fintech)

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

Base pay: New York $168,500–$228,000 per year

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 new money movement products.
• Mine large-scale account and transaction data to build and optimize fraud strategies and translate findings into business plans.
• Lead the full policy lifecycle, including opportunity identification, policy development and testing, production launch, and performance monitoring.
• Partner with data science, risk operations, product, data engineering, analytics, engineering, dispute operations, and compliance teams on segmentation, portfolio analysis, and risk strategy.
• Evaluate third-party data providers for stolen identity, account takeover, and other exposure risks.
• Respond to fraud events, design testing for new methodologies, and recommend strategies that balance risk mitigation, growth, and customer experience.

Requirements

• 5+ years of relevant experience with a bachelor's degree in Statistics, Mathematics, Finance, Data Science, or another quantitative field; alternatively, an MS or PhD with 2+ years of relevant experience.
• Working knowledge of risk policy fundamentals for consumer loans and lines of credit, including fraud detection and identity checks.
• Strong business acumen and exceptional analytical ability.
• Experience designing experiments and using data-driven insights to solve business problems.
• Proficiency with SQL, Excel, Python, R, and data visualization tools.
• Strong judgment, creative and strategic thinking, and the ability to respond decisively during periods of peak fraud activity.
• Polished communication and partnership skills for working with business and technical stakeholders, influencing decisions with data, and building consensus.
• Curiosity about complex business issues and a proactive approach to identifying business opportunities and driving innovation.

Nice to have

• Experience in Fintech, Payments, NeoBanking, Crypto, or Money Movement.
• Familiarity with big data technologies such as Hive, Hadoop, and related concepts.

Culture & Benefits

• Competitive compensation with performance-based rewards.
• Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans and programs.
• Cross-functional work across fraud strategy, data science, engineering, operations, product, analytics, and compliance.
• Work focused on protecting legitimate customers while supporting growth and trust in financial products.