HOW YOU CAN MAKE A DIFFERENCE

We are seeking a strategic, hands-on leader to build and operate HealthEquity’s Fraud Analytics & Security Intelligence function - our frontline defense against evolving fraud and eCrime. In this role, you will build and mentor a high-performing team of data scientists, data engineers, and analysts. You will fuse transactional, identity, and cybersecurity telemetry data into a unified analytics platform, and lead the design and deployment of advanced AIML and graph-based models that proactively prevent losses and accelerate fraud investigations. As the data-driven voice of fraud and security intelligence, you will partner closely with our Fraud Operations team and law-enforcement agencies on coordinated takedowns of sophisticated fraud rings. You will also work with Fraud and Security Engineering teams to architect real-time containment rules, integrated into our transaction gateways and other cyber and identity defenses to prevent high-risk activity at scale. Your strategic roadmap will include Generative AI and RAG assistants for alert triage and case summarization, network-analytics pipelines for ring detection, and continuous model improvement that balances fraud reduction with a seamless member experience.

• Team Leadership & Collaboration: Recruit, mentor, and grow a high-impact data science and analytics team focused on fraud-ring detection, card and non-card fraud modeling, and identity intelligence
• Preventative Modeling: Build and operationalize AIML models to detect core fraud vectors (e.g., credential compromise, card fraud) and emerging threats (e.g., scams, account hijacks, deepfakes)
• Technology & Tools: Evaluate and implement cutting-edge fraud prevention technologies, machine learning models, and identity management systems to enhance operational efficiency
• Graph & Network Analytics: Operationalize graph-analysis pipelines to uncover fraud rings and synthetic identity clusters, surface network metrics (centrality, community detection) for targeted investigations
• GenAI-driven Investigations: Lead development of LLM/RAG/Agentic AI capabilities for across all of Cybersecurity and Fraud functions for auto-summaries, narrative generation, and root-cause explainers to reduce mean-time-to-detect and remediate.
• Real-time containment (partner): Partner with Product, engineering, SOC, and fraud operations to codify and deploy detection rules and strategies across transaction flows and other cyber and fraud playbooks for immediate threat mitigation
• Threat Intelligence & takedowns: Ingest external fraud and cyber-intel feeds and collaborate with Fraud Investigations, Legal, FBI, and Secret Service on evidence gathering and coordinated ring takedowns
• Strategic Roadmap: Define a multi-year plan for graph analytics expansion, Generative AI assistants and autonomous response agents, lead pilots and A/B tests to optimize fraud defenses and controls
• Identity Verification: Oversee the development and optimization of identity authentication and verification processes to ensure secure and seamless customer experiences.
• Governance & Compliance: Ensure all fraud prevention and identity practices comply with relevant regulations (e.g., GDPR, CCPA, AML) and industry standards