Fraud Data Scientist, Graph Analytics & Threat Intelligence

HealthEquity; Draper (UT); Remote; USD 115,000 - 180,000; Full time

Job summary

Join a forward-thinking company dedicated to empowering healthcare consumers through innovative fraud detection and analytics. In this remote role, you will leverage cutting-edge graph-based analytics and Generative AI to combat fraud and enhance security measures. Collaborate with cross-functional teams, including law enforcement, to create impactful solutions that protect consumers and improve healthcare outcomes. With a focus on mentorship and innovation, this position offers a unique opportunity to shape the future of fraud detection in the healthcare industry. If you're passionate about making a difference, this is the role for you.

Benefits

Medical, dental, and vision insurance

HSA contribution and match

Uncapped paid time off

Paid parental leave

401(k) match

Ongoing education and tuition assistance

Gym and fitness reimbursement

Wellness incentives

Qualifications

• Expertise in fraud/security analytics with a focus on graph/network methods.
• Strong data engineering skills for ETL pipelines and large datasets.

Responsibilities

• Develop pipelines for graph modeling and community detection.
• Collaborate with law enforcement on fraud investigations.

Skills

Python

SQL

Graph Analytics

Data Engineering

MLOps

Deepfake Detection

Adversarial Modeling

Education

Master's in Data Science

Ph.D. in Computer Science

Tools

Graph Frameworks

ETL Pipelines

GenAI Solutions

Job description

Fraud Data Scientist, Graph Analytics & Threat Intelligence

Job Locations: US-Remote

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

You will develop next-generation threat-hunting and fraud-ring detection capabilities using graph-based analytics pipelines and Generative AI assistants to identify hidden networks of bad actors before losses occur. You will also contribute to our Fraud & Security GenAI portfolio, creating interactive chatbots, narrative generators, and automated playbooks to enable analysts to operate at machine speed. This role involves integrating transactional, identity, and threat intelligence data into actionable insights, collaborating on coordinated takedowns with Investigations and law enforcement, and shaping how HealthEquity combats organized fraud.

What you'll be doing

1. Graph & Network Modeling: Design and implement pipelines that ingest data into a graph store, applying community detection, centrality scoring, and path-analysis algorithms to identify colluding accounts or synthetic identities.
2. GenAI Assistant Development: Lead the creation of retrieval-augmented LLM tools for analyst queries, case summarization, and investigative recommendations. Refine prompts, vector stores, and retrieval strategies for high precision.
3. Threat Hunting & Dashboards: Develop interactive notebooks and visualizations for threat exploration, enabling quick pivoting from summaries to transaction-level details. Define and monitor KPIs such as detection time, ring size reduction, and takedown success.
4. Cross-Functional Collaboration & Takedowns: Work with Investigations, FBI, and Secret Service on evidence gathering and coordinated operations. Incorporate post-takedown intel to improve detection models.
5. Innovation & Mentorship: Prototype advanced techniques like graph neural networks and anomaly detection to anticipate attack tactics. Mentor junior data scientists on graph theory, MLOps, and GenAI.
6. Sample Success Metrics: Detect top fraud rings pre-funding, reduce losses, decrease manual linking effort, and improve synthetic-ID cluster classification accuracy.

What you will need to be successful

• Master's or Ph.D. in Data Science, Computer Science, Applied Math, or related fields.
• Expertise in fraud/security analytics with a focus on graph/network methods.
• Proficiency in Python, SQL, and graph frameworks.
• Strong data engineering skills for ETL pipelines and large datasets.
• Ability to translate complex results into clear insights.
• Experience with MLOps frameworks for model management.
• Effective communication skills for cross-team initiatives.
• Experience with deepfake detection and adversarial modeling.
• Hands-on experience with enterprise retrieval-augmented GenAI solutions.
• Background in fintech, AML, EFT, payment fraud analytics.
• Proven ability to support live investigations and rapid takedowns.
• Open source or academic work related to security AI and analytics.

#LI-Remote

This is a remote position.

Salary Range

$115,000.00 to $180,000.00 per year

Benefits & Perks

The actual offer depends on experience, education, and location. Benefits include:

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

Why work with HealthEquity

Our vision is to make HSAs as common as retirement accounts by 2030. We are dedicated to providing solutions that connect health and wealth. Join us and experience a workplace where individuals are valued. Learn more on our Careers page.

HealthEquity is an equal opportunity employer committed to diversity and inclusion. We ensure non-discrimination and provide accommodations for applicants with disabilities. We use Microsoft Copilot for interview transcription, with an option to opt out. For privacy policies, visit our Privacy page.