Senior Fraud Analytics Engineer

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

Job summary

Citi in San Antonio, TX is seeking a data science professional to develop and optimize fraud models across the lifecycle, focusing on feature engineering and scalable ML solutions. You will transform raw datasets into high-quality inputs and collaborate with technology teams, analytics, and business partners to stay ahead of evolving fraud tactics.

The role requires a strong background in Python/SQL, data processing, and ML methods, with 3+ years in data science or analytics, and a Bachelor’s

Qualifications

• Bachelor’s degree in a quantitative field required; advanced degrees preferred.
• 3+ years in data science, ML, or advanced analytics.
• Strong programming and data engineering capabilities for fraud detection.

Responsibilities

• Lead data and feature engineering to prepare inputs for fraud model development.
• Build predictive models and ML algorithms on large structured and unstructured data.
• Design and implement ML models to detect fraud across the lifecycle.
• Utilize data processing techniques for large, complex datasets and robust model performance.
• Perform exploratory data analysis to uncover patterns informing model development.
• Collaborate with technology, analytics, and business partners to align data strategies.
• Optimize models with feature selection and hyperparameter tuning for adaptability.
• Support model deployment and real-time fraud detection integration.
• Evaluate algorithms/tools for specific fraud detection needs.
• Participate in data quality governance and regulatory-compliant practices.
• Generate regular and ad-hoc reports for monitoring trends.

Skills

Python

SQL

R

EDA

Feature engineering

Data processing

Machine learning

Real-time analytics

Collaboration

Communication

Problem solving

Regulatory compliance

Multi-tasking

Attention to detail

Intellectual curiosity

Education

Bachelor’s Degree in statistics, mathematics, physics, economics, or other analytical discipline

Master’s Degree or PhD preferred

Tools

Pandas

Numpy

PySpark

ETL pipelines

Model deployment

MLOps

Job description

Citi in San Antonio, TX is seeking a data science professional to develop and optimize fraud models across the lifecycle, focusing on feature engineering and scalable ML solutions. You will transform raw datasets into high-quality inputs and collaborate with technology teams, analytics, and business partners to stay ahead of evolving fraud tactics.

The role requires a strong background in Python/SQL, data processing, and ML methods, with 3+ years in data science or analytics, and a Bachelor’s