Senior Analyst, Fraud Intelligence

Location: Remote, US; candidates must be located within the continental United States.

Expected pay range: $125,000–$145,000 per year salaried.

Company

hirify.global provides AI-driven post-purchase solutions for retailers, including automated customer service, returns and exchanges, fulfillment, product and shipping protection, and fraud detection.

What you will do

• Analyze large-scale behavioral, transactional, and interaction data to identify fraud and abuse signals, patterns, and actionable insights.
• Develop monitoring frameworks, dashboards, and mitigation solutions for emerging fraud threats in collaboration with cross-functional teams.
• Evaluate the Fraud Ops AI review agent, including case-summary quality and recommended-decision accuracy, and improve prompts, rules, and workflows.
• Partner with Machine Learning to translate fraud findings into model feature recommendations and provide feedback on model scoring based on investigation outcomes.
• Participate in design and code reviews and mentor junior analysts on SQL and analysis best practices.

Requirements

• 3+ years of experience in fraud analytics, ideally in an e-commerce or retail environment.
• Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics, or a related field.
• Strong understanding of data science and analytics concepts, including statistical analysis, modeling, and data wrangling.
• Proficiency in SQL and experience with Python, including pandas, NumPy, and scikit-learn.
• Exceptional communication and stakeholder-management skills, with the ability to work cross-functionally and influence outcomes.
• High attention to detail, intellectual curiosity, and a deep understanding of user behavior and fraud patterns.
• Hands-on, proactive, analytical, empathetic, humble, and collaborative working style.
• Must be located within the continental United States.

Nice to have

• Experience in a startup or high-growth environment.
• Experience evaluating or tuning automated decisioning systems, including LLM-based or rules-based systems.

Culture & Benefits

• Collaborative and supportive environment with colleagues from diverse backgrounds.
• Full medical, dental, and vision benefits.
• Stock in an early-stage startup.
• Generous, flexible paid time off policy.
• 401(k) with financial guidance from Morgan Stanley.