Fraud Data Scientist, AIML Modeling & GenAI

HealthEquity; United States; Remote; USD 115,000 - 185,000; Full time

Job summary

A leading company in the financial services sector is seeking a Fraud Data Scientist to enhance security measures through AI and machine learning. This remote role involves predictive modeling, GenAI solutions, and managing MLOps pipelines. Candidates should have a strong educational background and significant experience in fraud prevention and risk analytics.

Benefits

Comprehensive benefits

Qualifications

• 3+ years of experience in AI/ML applied to fraud prevention.
• Experience with production MLOps pipelines and real-time inference.

Responsibilities

• Drive predictive modeling for fraud detection.
• Develop GenAI solutions for security.
• Build real-time AI models to prevent fraud.

Skills

Python

SQL

Communication

Education

Master’s or Ph.D. in Data Science

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

Job description

Fraud Data Scientist, AIML Modeling & GenAI

Join to apply for the Fraud Data Scientist, AIML Modeling & GenAI role at HealthEquity.

This position involves driving predictive modeling for fraud detection, developing GenAI solutions for security, and building real-time AI models to prevent fraud and enhance security measures. You will work on feature engineering, designing and fine-tuning LLM-based assistants, managing MLOps pipelines, ensuring explainability and compliance, and establishing performance metrics for continuous improvement.

Minimum Qualifications:

• Master’s or Ph.D. in Data Science, Machine Learning, Statistics, or related field.
• 3+ years of experience in AI/ML applied to fraud prevention, AML, or risk analytics.
• Proficiency in Python, SQL, ML frameworks (scikit-learn, XGBoost, TensorFlow/PyTorch), and large-language-model fine-tuning.
• Experience with production MLOps pipelines, real-time inference, and streaming data architectures.
• Strong communication skills for articulating model logic and business impact.

This is a remote position with a salary range of $115,000 to $184,500 annually, along with comprehensive benefits.