Fraud Data Scientist, Graph Analytics & Threat Intelligence
Job title: Fraud Data Scientist, Graph Analytics & Threat Intelligence in USA at HealthEquity
Company: HealthEquity
Job description: OverviewHow you can make a differenceYou will be the architect of our next-generation threat-hunting and fraud-ring-detection capabilitiesâbuilding graph-based analytics pipelines and Generative AI assistants that spot hidden networks of bad actors before losses occur. You will also help drive our Fraud & Security GenAI portfolio, deliver interactive chatbots, narrative generators, and automated playbooks that empower analysts to move at machine speed. This is a game-changing role: youâll fuse transactional, identity, and threat-intel data into actionable network insights, partner on coordinated takedowns with Investigations and law enforcement, and set the vision for how HealthEquity outsmarts organized fraud.What youâll be doing
Graph & Network Modeling: Design and productionize end-to-end pipelines that ingest transactions, identity records, and external intelligence into a graph store. Implement community detection, centrality scoring, and path-analysis algorithms to surface rings of colluding accounts or synthetic identities.
GenAI Assistant Development: Lead Development of retrieval-augmented LLM tools to answer analyst queries (âShow me all accounts linked to this phoneâ), auto-summarize case dossiers, and recommend next investigative steps. Continuously refine prompts, vector stores, and retrieval strategies for high precision in a fraud context.
Threat Hunting & Dashboards: Build interactive notebooks and visualizations for ad-hoc threat explorationâenabling analysts to pivot from summary graphs to transaction-level detail in seconds. Define and track KPIs: time-to-detect, ring-size reduction, and take-down success rates.
Cross-Functional Collaboration & Takedowns: Partner with Internal Investigations, FBI, and Secret Service on evidence gathering and synchronized fraud-ring takedown operations. Ingest post-takedown intel to retrain models and evolve detection patterns.
Innovation & Mentorship: Prototype advanced techniques (graph neural networks, anomaly detection) to predict emerging attack tactics. Mentor junior data scientists on graph theory, MLOps best practices, and GenAI usage.
Sample Success Metrics Detection of top fraud rings pre-funding, reducing associated losses by target. Decrease in time investigators spend manually linking entities by target. Accuracy on synthetic-ID cluster classification by target.
What you will need to be successful
Masterâs or Ph.D. in Data Science, Computer Science, Applied Math, or related.
Expertise in fraud or security analytics focused on graph or network methods.
Expert in Python, SQL, and graph frameworks.
Strong data engineering skills building ETL pipelines, managing large-scale datasets, and ensuring data quality
Demonstrated ability to translate complex analytical results into clear, actionable insights
Experience with MLOPs frameworks for model versioning, monitoring, and automated retraining
Strong communicator with a track record of driving cross-team initiatives.
Experience with deepfake detection and adversarial-resilient modeling.
Hands-on experience designing and deploying retrieval-augmented GenAI (LLM integration, vector search) solutions in an enterprise setting.
Background and expertise in fintech, EFT, AML, payment-card fraud analytics.
Proven collaboration in high-urgency environments, able to support live investigations and coordinate rapid takedowns.
Prior work (open source, or academic publications) around analytics or security AI portfolio and usecases
#LI-RemoteThis is a remote position.Salary Range$115000.00 To $180000.00 / yearBenefits & PerksThe actual compensation offer is determined based on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives as part of the total compensation package, in addition to a full range of benefits including:
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
Wellness program incentives
Why work with HealthEquityWhy work with HealthEquityHealthEquity has a vision that by 2030 we will make HSAs as wide-spread and popular as retirement accounts. We are passionate about providing a solution that allows American families to connect health and wealth. Join us and discover a work experience where the person is valued more than the position. Click to learn more.You belong at HealthEquity!HealthEquity, Inc. is an equal opportunity employer, and we are committed to being an employer where no matter your background or identity â you feel welcome and included. We ensure equal opportunity for all applicants and employees without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, veteran status, or other legally protected characteristics. HealthEquity is a drug-free workplace. For more information about our EEO policy, or about HealthEquityâs applicant disability accommodation, drug-free-workplace, background check, and E-Verify policies, please visit our .HealthEquity uses Microsoft Copilot to transcribe screening interviews between candidates and their direct Talent Partner for note taking and interview summaries. By scheduling a screening interview with us, you consent to Microsoft Copilotâs AI technology recording and transcribing your interview with your Talent Partner. This information will be reviewed for accuracy and then used by HealthEquity to summarize the interview, ensure accuracy, and facilitate our hiring process. We take privacy seriously. You have the option to opt out. If you wish to opt out of this Microsoft Copilot transcription, please notify your Talent Partner in advance of the interview. If we do not receive an opt-out request from you, we will assume that you consent to the use of Microsoft Copilot.HealthEquity is committed to your privacy as an applicant for employment. For information on our privacy policies and practices, please visit .
Expected salary: $115000 - 180000 per year
Location: USA
Apply for the job now!
Apply Now
Company: HealthEquity
Job description: OverviewHow you can make a differenceYou will be the architect of our next-generation threat-hunting and fraud-ring-detection capabilitiesâbuilding graph-based analytics pipelines and Generative AI assistants that spot hidden networks of bad actors before losses occur. You will also help drive our Fraud & Security GenAI portfolio, deliver interactive chatbots, narrative generators, and automated playbooks that empower analysts to move at machine speed. This is a game-changing role: youâll fuse transactional, identity, and threat-intel data into actionable network insights, partner on coordinated takedowns with Investigations and law enforcement, and set the vision for how HealthEquity outsmarts organized fraud.What youâll be doing
Graph & Network Modeling: Design and productionize end-to-end pipelines that ingest transactions, identity records, and external intelligence into a graph store. Implement community detection, centrality scoring, and path-analysis algorithms to surface rings of colluding accounts or synthetic identities.
GenAI Assistant Development: Lead Development of retrieval-augmented LLM tools to answer analyst queries (âShow me all accounts linked to this phoneâ), auto-summarize case dossiers, and recommend next investigative steps. Continuously refine prompts, vector stores, and retrieval strategies for high precision in a fraud context.
Threat Hunting & Dashboards: Build interactive notebooks and visualizations for ad-hoc threat explorationâenabling analysts to pivot from summary graphs to transaction-level detail in seconds. Define and track KPIs: time-to-detect, ring-size reduction, and take-down success rates.
Cross-Functional Collaboration & Takedowns: Partner with Internal Investigations, FBI, and Secret Service on evidence gathering and synchronized fraud-ring takedown operations. Ingest post-takedown intel to retrain models and evolve detection patterns.
Innovation & Mentorship: Prototype advanced techniques (graph neural networks, anomaly detection) to predict emerging attack tactics. Mentor junior data scientists on graph theory, MLOps best practices, and GenAI usage.
Sample Success Metrics Detection of top fraud rings pre-funding, reducing associated losses by target. Decrease in time investigators spend manually linking entities by target. Accuracy on synthetic-ID cluster classification by target.
What you will need to be successful
Masterâs or Ph.D. in Data Science, Computer Science, Applied Math, or related.
Expertise in fraud or security analytics focused on graph or network methods.
Expert in Python, SQL, and graph frameworks.
Strong data engineering skills building ETL pipelines, managing large-scale datasets, and ensuring data quality
Demonstrated ability to translate complex analytical results into clear, actionable insights
Experience with MLOPs frameworks for model versioning, monitoring, and automated retraining
Strong communicator with a track record of driving cross-team initiatives.
Experience with deepfake detection and adversarial-resilient modeling.
Hands-on experience designing and deploying retrieval-augmented GenAI (LLM integration, vector search) solutions in an enterprise setting.
Background and expertise in fintech, EFT, AML, payment-card fraud analytics.
Proven collaboration in high-urgency environments, able to support live investigations and coordinate rapid takedowns.
Prior work (open source, or academic publications) around analytics or security AI portfolio and usecases
#LI-RemoteThis is a remote position.Salary Range$115000.00 To $180000.00 / yearBenefits & PerksThe actual compensation offer is determined based on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives as part of the total compensation package, in addition to a full range of benefits including:
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
Wellness program incentives
Why work with HealthEquityWhy work with HealthEquityHealthEquity has a vision that by 2030 we will make HSAs as wide-spread and popular as retirement accounts. We are passionate about providing a solution that allows American families to connect health and wealth. Join us and discover a work experience where the person is valued more than the position. Click to learn more.You belong at HealthEquity!HealthEquity, Inc. is an equal opportunity employer, and we are committed to being an employer where no matter your background or identity â you feel welcome and included. We ensure equal opportunity for all applicants and employees without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, veteran status, or other legally protected characteristics. HealthEquity is a drug-free workplace. For more information about our EEO policy, or about HealthEquityâs applicant disability accommodation, drug-free-workplace, background check, and E-Verify policies, please visit our .HealthEquity uses Microsoft Copilot to transcribe screening interviews between candidates and their direct Talent Partner for note taking and interview summaries. By scheduling a screening interview with us, you consent to Microsoft Copilotâs AI technology recording and transcribing your interview with your Talent Partner. This information will be reviewed for accuracy and then used by HealthEquity to summarize the interview, ensure accuracy, and facilitate our hiring process. We take privacy seriously. You have the option to opt out. If you wish to opt out of this Microsoft Copilot transcription, please notify your Talent Partner in advance of the interview. If we do not receive an opt-out request from you, we will assume that you consent to the use of Microsoft Copilot.HealthEquity is committed to your privacy as an applicant for employment. For information on our privacy policies and practices, please visit .
Expected salary: $115000 - 180000 per year
Location: USA
Apply for the job now!
Apply Now