Fraud Analytics Lead Scientist

Citi; New York (NY); Hybrid; USD 126,000 - 188,000; Full time

Benefits offered by this job

Competitive benefits

Discretionary incentive pay

Job summary

Citi in Jacksonville, FL seeks a Specialized Analytics Lead Analyst to drive fraud modeling, data processing, and feature engineering for scalable, robust models.

The role focuses on building, deploying, and maintaining ML models for fraud detection across the lifecycle, collaborating with tech, analytics, and business stakeholders. Strong experience in data science and ML, plus SAS/Python/R/SQL, is required.

Qualifications

• Bachelor’s degree in statistics, mathematics, physics, economics, or related analytical field.
• 5+ years in data science, machine learning, or advanced analytics.
• Experience with Generative AI and LLM preferred.
• Proficiency in SAS, Python, R, or SQL for data manipulation and modeling.

Responsibilities

• Lead data and feature engineering to support fraud model development.
• Build predictive fraud models at scale using ML algorithms.
• Design and deploy advanced ML models for fraud detection across lifecycle.
• Collaborate with technology, analytics, and business teams.
• Monitor and optimize model performance in production with feedback loops.
• Ensure regulatory compliance and documentation for models.

Skills

Data science

Machine learning

Generative AI

Python

R

SQL

SAS

Pandas

NumPy

PySpark

Feature engineering

EDA

Model deployment

Communication

Collaboration

Regulatory compliance

Problem solving

Big data

Education

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

Master's degree or PhD preferred

Tools

PySpark

Hadoop

TensorFlow

Scikit-learn

MLflow

Spark

Job description

Citi in Jacksonville, FL seeks a Specialized Analytics Lead Analyst to drive fraud modeling, data processing, and feature engineering for scalable, robust models.

The role focuses on building, deploying, and maintaining ML models for fraud detection across the lifecycle, collaborating with tech, analytics, and business stakeholders. Strong experience in data science and ML, plus SAS/Python/R/SQL, is required.