Staff Fraud And Risk Analyst (Fintech)

TL;DR

Staff Fraud and Risk Analyst (Fintech): Developing and optimizing fraud risk policies for consumer lending, banking, and money movement products with an accent on fraud detection, identity risk, and data-driven decision science. Focus on mining large-scale transactional data, designing experiments, launching policies to production, and balancing fraud mitigation with customer growth.

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

Salary: $168,500–$228,000 base pay in New York

Company

hirify.global is a 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, test, launch, and monitor end-to-end fraud risk policies for consumer lending, banking, and money movement products.
• Analyze large-scale account and transaction data to optimize fraud detection strategies and translate findings into business plans.
• Build expertise across money movement risks while balancing risk mitigation, growth, profitability, and customer trust.
• Partner with Risk Operations, Data Science, Product, Engineering, Compliance, and Analytics teams on segmentation and portfolio analysis.
• Evaluate third-party data providers for stolen identity, account takeover, and other exposure risks.
• Design experiments, estimate key risk metrics, and respond decisively to periods of increased fraud 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 developing fraud risk policies for consumer loans or lines of credit, including fraud detection and identity checks.
• Strong statistical analysis skills using SQL, Excel, Python, R, and data visualization tools.
• Experience designing experiments and applying data-driven insights to business problems.
• Strong business judgment, strategic thinking, communication, and cross-functional partnership skills.
• Ability to work creatively and decisively in a fast-paced environment with complex business issues.

Nice to have

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

Culture & Benefits

• Work with cross-functional teams across risk, data, product, engineering, operations, and compliance.
• Competitive compensation with performance-based cash bonuses, equity rewards, and benefits eligibility.
• Compensation is determined by role-related knowledge, skills, experience, and work location.