Director, Fraud Analytics & Security Intelligence

HealthEquity, Inc.; United States; Remote; USD 167,000 - 221,000; Full time

Job summary

Join a forward-thinking company as a leader in Fraud Analytics & Security Intelligence. In this pivotal role, you will build and mentor a high-performing team dedicated to combating fraud and eCrime. Your expertise will drive the development of advanced AI models and analytics platforms, ensuring the security of transactions and customer data. Collaborate with various teams and law enforcement to tackle sophisticated fraud rings. This remote position offers a competitive salary and a comprehensive benefits package, making it an exciting opportunity for those passionate about data science and fraud prevention.

Benefits

Medical, dental, and vision

HSA contribution and match

Dependent care FSA match

Uncapped paid time off

Adventure accounts

Paid parental leave

401(k) match

Personal and healthcare financial literacy programs

Ongoing education & tuition assistance

Gym and fitness reimbursement

Qualifications

• 10+ years in fraud prevention analytics or security intelligence.
• Proven expertise in statistical modeling and machine learning.
• Exceptional leadership skills with a track record of building teams.

Responsibilities

• Build and mentor a high-performing data science team.
• Operationalize AIML models for fraud detection.
• Collaborate with law enforcement on fraud investigations.

Skills

Statistical Modeling

Machine Learning

Python

R

Data Engineering

SQL

Azure Data Factory

Fraud Prevention

Leadership

Education

Bachelor's degree in Data Science

Master's degree or Ph.D. in Data Science

Tools

PyTorch

Spark

Azure Sentinel

Cribl LogStream

AWS

Google Cloud

Job description

Our Mission

Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of something remarkable.

Overview

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 cybercrime. In this role, you will build and mentor a high-performing team of data scientists, data engineers, and analysts. You will integrate transactional, identity, and cybersecurity telemetry data into a unified analytics platform, and lead the design and deployment of advanced AI/ML and graph-based models to proactively prevent losses and accelerate fraud investigations. As the data-driven voice of fraud and security intelligence, you will collaborate 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 develop 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 to balance fraud reduction with a seamless member experience.

What you’ll be doing

1. 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.
2. Preventative Modeling: Build and operationalize AI/ML models to detect core fraud vectors (e.g., credential compromise, card fraud) and emerging threats (e.g., scams, account hijacks, deepfakes).
3. Technology & Tools: Evaluate and implement cutting-edge fraud prevention technologies, machine learning models, and identity management systems to enhance operational efficiency.
4. Graph & Network Analytics: Operationalize graph-analysis pipelines to uncover fraud rings and synthetic identity clusters, surface network metrics (centrality, community detection) for targeted investigations.
5. GenAI-driven Investigations: Lead development of LLM/RAG/Agentic AI capabilities for cybersecurity and fraud functions, including auto-summaries, narrative generation, and root-cause explainers to reduce detection and remediation times.
6. Real-time Containment (Partner): Collaborate with product, engineering, SOC, and fraud operations to deploy detection rules and strategies across transaction flows and cyber/identity defenses for immediate threat mitigation.
7. Threat Intelligence & Takedowns: Ingest external threat feeds and collaborate with Fraud Investigations, Legal, FBI, and Secret Service on evidence gathering and coordinated takedowns.
8. Strategic Roadmap: Define a multi-year plan for expanding graph analytics, Generative AI assistants, and autonomous response agents; lead pilots and A/B tests to optimize fraud defenses and controls.
9. Identity Verification: Oversee development and optimization of identity authentication and verification processes to ensure secure, seamless customer experiences.
10. Governance & Compliance: Ensure all fraud prevention and identity practices comply with relevant regulations (e.g., GDPR, CCPA, AML) and industry standards.

What you will need to be successful

• Bachelor's degree in data science, Statistics, Computer Science, or related field.
• 10+ years in fraud prevention analytics or security intelligence; 5+ years managing technical teams.
• Proven expertise in statistical modeling & machine learning (Python, R, PyTorch, Spark).
• Hands-on experience with data engineering (SQL, Azure Data Factory, Databricks, Data Lake).
• Familiarity with security telemetry platforms (Azure Sentinel, Cribl LogStream) and automated response frameworks.
• Experience integrating external threat intelligence feeds into detection systems.
• Exceptional leadership and team management skills, with a track record of building high-performing teams.
• Excellent communication skills to translate complex data into actionable insights for executives.
• Familiarity with regulatory standards in fraud and identity management.
• Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities.
• Master's degree or Ph.D. in data science, Statistics, or Computer Science.
• Experience with AI/ML, Generative AI (LLM/RAG/Agentic AI) in security or fraud use cases.
• Background in fintech, payments, or benefits administration.
• Hands-on experience with cloud analytics platforms (AWS, Google Cloud, Azure).

#LI-Remote

This is a remote position.

Salary Range

$167,000 – $221,000 per year

Benefits & Perks

Compensation includes performance incentives, restricted stock units, and a comprehensive benefits package including:

• Medical, dental, and vision insurance
• HSA contributions and matching
• Dependent care FSA matching
• Uncapped paid time off
• Adventure accounts
• Paid parental leave
• 401(k) match
• Financial literacy programs
• Ongoing education and tuition assistance
• Gym and fitness reimbursements
• Wellness incentives

Why work with HealthEquity

HealthEquity aims to make HSAs as popular as retirement accounts by 2030, connecting health and wealth for American families. Join us to experience a workplace that values individuals over titles. Learn more.

You belong at HealthEquity!

We are an equal opportunity employer committed to diversity and inclusion. We ensure equal opportunity regardless of race, age, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. We are a drug-free workplace. For policies, visit our Careers page.

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