Sr Fraud Data Analyst

HealthEquity

3d•$72,000 - $91,500•Remote

About The Position

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.

Requirements

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.
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.

Nice To Haves

CFE certification preferred.
Technical certifications (e.g., SQL, Certified Analytics Professional) are a plus.

Responsibilities

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.