Fraud Analytics Lead — ML & Data Engineering

Citigroup Inc.; San Antonio (TX); On-site; USD 97,000 - 145,000; Full time

Job summary

Citigroup Inc. is seeking a data scientist to drive fraud prevention modeling and feature engineering.

The role focuses on transforming large datasets into optimized inputs for high-performance models that protect against application fraud, synthetic ID, account takeover, and evolving fraud schemes. The ideal candidate will have deep expertise in data processing, ML algorithms, and real-time analytics, collaborating with tech partners and fraud analytics to stay ahead of industry shifts and

Qualifications

• Bachelor’s or higher in statistics, mathematics, physics, economics, or related quantitative field.
• 3+ years in data science, ML, or advanced analytics.
• Strong programming in Python/SQL for data manipulation and modeling.
• Experience with data processing libraries (Pandas, NumPy, PySpark).
• Ability to engineer features and interpret ML model outputs.

Responsibilities

• Lead data and feature engineering to create high-quality inputs for fraud model development.
• Build predictive ML models using large structured and unstructured data.
• Design and deploy models to detect fraud across lifecycle stages.
• Perform data cleaning, normalization, and augmentation for robust models.
• Conduct exploratory data analysis to uncover patterns for model features.
• Collaborate with tech, analytics, and business partners on data strategies.
• Optimize models via feature selection and hyperparameter tuning.
• Support production deployment and real-time fraud detection.
• Evaluate ML algorithms and tools for fraud needs.
• Participate in data governance and regulatory compliance processes.
• Produce regular and ad-hoc fraud monitoring reports.

Skills

Data science

Machine learning

Feature engineering

EDA

Communication

Collaboration

Problem solving

Regulatory compliance

Education

Bachelor's degree in statistics, mathematics, physics, economics or related

Master's degree or PhD preferred

Tools

Python

SQL

Pandas

NumPy

PySpark

Job description

Citigroup Inc. is seeking a data scientist to drive fraud prevention modeling and feature engineering.

The role focuses on transforming large datasets into optimized inputs for high-performance models that protect against application fraud, synthetic ID, account takeover, and evolving fraud schemes. The ideal candidate will have deep expertise in data processing, ML algorithms, and real-time analytics, collaborating with tech partners and fraud analytics to stay ahead of industry shifts and