Senior Fraud Analytics Engineer: ML & Feature Eng

Citibank (Switzerland) AG; San Antonio (TX); Hybrid; Confidential; Full time

Job summary

Citi in San Antonio, TX is hiring a Senior Data Scientist to lead fraud modeling and feature engineering across the full lifecycle. You will build scalable ML models using Python, R, SQL, and PySpark on large datasets, ensuring robust real-time detection.

The role emphasizes data processing, EDA, and cross-functional collaboration with technology and business teams to stay ahead of evolving fraud tactics.

Qualifications

• Bachelor’s degree in statistics, mathematics, physics, economics or similar.
• Master’s degree or PhD preferred for advanced analytics roles.
• 3+ years in data science, ML, or advanced analytics.

Responsibilities

• Lead data and feature engineering to prepare high-quality inputs for fraud model development.
• Build predictive ML models with large structured and unstructured data.
• Own fraud models, risk appetite execution and defect analysis.
• Design and implement advanced ML models to detect fraud across the lifecycle.
• Perform data processing, cleaning, normalization, and augmentation.
• Collaborate with tech, analytics and business partners to align data strategies.

Skills

Python

R

SQL

Pandas

NumPy

PySpark

Machine learning

Feature engineering

EDA

Communication

Education

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

Master's degree or PhD preferred

Tools

Pandas

NumPy

PySpark

SQL tooling

Job description

Citi in San Antonio, TX is hiring a Senior Data Scientist to lead fraud modeling and feature engineering across the full lifecycle. You will build scalable ML models using Python, R, SQL, and PySpark on large datasets, ensuring robust real-time detection.

The role emphasizes data processing, EDA, and cross-functional collaboration with technology and business teams to stay ahead of evolving fraud tactics.