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As a Senior Analyst, Fraud Strategy, you will be the critical link between our business objectives and our technical execution, ensuring that we support Neo's growth within the established risk appetite. You will dive deep into the data that powers our lending decisions, working to optimize our risk strategies and systems, creating insights and looking for opportunities to solidly expand our portfolio. This role is perfect for a data-driven problem-solver who thrives on translating complex business needs into actionable insights and technical requirements that protect both our customers and the company.
Job Responsibility:
Take ownership of fraud initiatives, acting as a point of escalation and leadership for the Fraud team when needed
Partner with Data Science, Engineering, and Product teams to translate high-level business goals into robust technical specifications and agile user stories
Use SQL to interrogate complex datasets, identifying emerging fraud patterns and trends
Develop and maintain the source of truth documentation, including complex process flows and system diagrams that map our fraud ecosystem
Lead the development, testing, and deployment of next-generation fraud rules and machine learning model integrations
Provide the narrative—explaining the why behind the metrics to executive stakeholders
Requirements:
5+ years of career experience with a heavy emphasis on fraud prevention, risk management, or fintech operations
Advanced proficiency in SQL is non-negotiable
Comfortable manipulating large datasets
Python/R experience is highly preferred
Proven ability to mentor junior analysts and step into leadership gaps
Deep understanding of credit risk, lending lifecycles, and how fraud mitigation impacts user friction and conversion
Ability to explain a complex technical vulnerability to a non-technical stakeholder
Thrive in fast-paced, iterative environments and comfortable with ambiguity