Senior Fraud Data Analyst

Our Mission

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

Overview

How you can make a difference

The Senior Fraud Data Analyst is responsible for designing and executing advanced fraud prevention strategies across digital, voice, and card channels. This role leverages data mining techniques, SQL-based querying, and predictive analytics to identify fraud patterns, assess risks, and develop proactive solutions. You will work with large-scale datasets and collaborate with cross-functional teams to deploy cutting-edge fraud detection systems. Additionally, you will review accounts, behaviors, and trends and provide fraud industry guidance and best practices.

What you’ll be doing

• Lead the development, implementation, and optimization of fraud detection strategies using advanced analytics
• Perform data mining and statistical analysis on large, complex datasets to uncover hidden fraud patterns and anomalies.
• Design and optimize SQL queries for fraud detection workflows, ensuring efficient data retrieval and processing.
• Create and present fraud-related dashboards and reports to senior leadership, providing actionable insights.
• Collaborate with risk, technology, product, and compliance teams to integrate fraud strategies across all areas of the business.
• Conduct root cause analyses of fraud incidents and recommend future-proof solutions.
• Stay current with emerging fraud schemes, regulatory changes, and industry best practices.
• Mentor and coach junior analysts, fostering technical growth and continuous learning.
• Assist with managing relationships with external vendors for fraud detection tools and technologies.
• Support fraud investigations, ensuring compliance with legal and regulatory requirements.
  
  

What You Will Need To Be Successful

• Bachelor’s degree in finance, economics, data analytics, computer science, or a related field (Master’s degree preferred).
• 5+ years of experience in fraud risk management, fraud detection, or financial crime strategy.
• Advanced proficiency in SQL for complex querying, data manipulation, and performance optimization.

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• Expertise in data mining techniques, predictive modeling, and anomaly detection algorithms.
• Strong programming skills in Python or R for data analysis and machine learning.
• Experience with big data platforms (e.g., Hadoop, Spark) and cloud-based analytics environments.
• Familiarity with fraud detection technologies, including rule-based systems, machine learning, and AI-driven solutions.
• Ability to analyze and interpret user behavior data to design low-friction fraud prevention measures.
• Experience working with cross-functional teams and managing complex projects.
• Excellent communication and presentation skills for both technical and non-technical audiences.
• Strong leadership skills with experience mentoring junior team members.
• Knowledge of financial services industry regulations and best practices for fraud management.
• Experience with fraud risk management in high-volume, transactional environments.
• Familiarity with fraud detection systems and decision engines.
• CFE certification preferred.
• Technical certifications (e.g., SQL, Certified Analytics Professional) are a plus.
  
  

This is a remote position.

Salary Range

$72,000.00 To $91,500.00 / year

Benefits & Perks

The 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, d ental, and v ision
• HSA contribution and match

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• Dependent c are FSA match
• Uncapped p aid t ime o ff
• Paid p arental l eave
• 401(k) match
• Personal and healthcare financial literacy programs
• Ongoing e ducation & t uition a ssistance
• Gym and f itness r eimbursement
• Wellness p rogram incentives
  
  

Onboarding & Travel

This is a remote role, with an in-person onboarding training component. New team members must participate in Trailhead , HealthEquity’s immersive onboarding experience Trailhead is designed to foster meaningful connections, support your integration into the organization, and equip you with a strong understanding of our business. Trailhead participation is a key expectation of this role. Trailhead is held onsite at our headquarters once per quarter. HealthEquity covers all required travel and accommodations.

This role may begin with a virtual, self-paced onboarding experience, followed by a mandatory onsite Trailhead session at a later date.

HealthEquity is committed to providing reasonable accommodations to team members with qualifying disabilities. Should you be selected for this role and require an accommodation, we will put you in touch with our Benefits Team so you can begin the accommodation request process.

Why work with HealthEquity

HealthEquity 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 here 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 – 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 HealthEquity’s applicant disability accommodation, drug-free-workplace, background check, and E-Verify policies, please visit our Careers page .

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 Copilot’s 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.

At HealthEquity, our goal is to save and improve lives by empowering healthcare consumers. This shared purpose inspires everything we do, including how we approach hiring. Our process is designed to get to know the real you: your skills, experiences, and potential to make a difference. We value honesty, originality, and the courage to do the right thing, even when it is not the easiest path. Showing up as your authentic self reflects these values and helps us build something truly remarkable together.

As AI is becoming a common tool throughout the application process, we want to be clear about its appropriate use at HealthEquity. Using AI to support resume writing, research, or interview preparation is perfectly acceptable, provided the content is accurate and genuinely represents your qualifications and skills. For other key parts of our interview process, however, it is important that the ideas, communication, and work you share reflect your own voice, experiences, and thinking. We ask that you participate in our live interviews and complete any assessments without AI assistance unless instructions explicitly indicate otherwise or a specific exception is discussed and approved in advance. This approach ensures fairness, celebrates your individuality, and allows your authentic perspective to shine. Behaviors that do not align with these guidelines may result in disqualification from the hiring process or termination of employment if later discovered. We appreciate your understanding and look forward to learning about the unique contributions only you can bring to HealthEquity.

HealthEquity is committed to your privacy as an applicant for employment. For information on our privacy policies and practices, please visit HealthEquity Privacy .