Fraud Specialized Analytics Senior Analyst, Citi

Citi

Location:
United States, San Antonio ▼
Wilmington
O'Fallon
Jacksonville
Tampa
Florence
Johnson City
Sioux Falls
Irving

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

96960.00 - 145440.00 USD / Year

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Job Description:

Leverages advanced machine learning tools and data mining techniques to identify and combat fraud. Focuses on data and feature engineering; transforming raw and complex datasets into optimized inputs for developing high-performance fraud models. Responsible for developing and implementing sophisticated fraud models aimed at preventing and mitigating fraud risks across the full fraud lifecycle.

Job Responsibility:

Lead data and feature engineering efforts for fraud model development
Build predictive models and machine-learning/AI algorithms with large datasets
Design, develop, and implement advanced machine learning models to detect and prevent fraud
Utilize advanced data processing techniques to manage large, complex datasets
Conduct comprehensive exploratory data analysis (EDA)
Collaborate with technology teams, fraud analytics, and business partners
Continuously optimize and refine fraud models
Support model deployment and integration into production systems
Evaluate and select appropriate machine learning algorithms
Engage in cross-functional initiatives to enhance data quality and governance
Participate in model validation and testing processes
Generate and manage regular and ad-hoc reporting

Requirements:

Bachelor's Degree in statistics, mathematics, physics, economics, or other analytical/quantitative discipline
Master's Degree or PhD preferred
3+ years in data science, machine learning, or advanced analytics
Proficiency in programming languages such as Python, R, or SQL
Strong experience with data processing tools and libraries (e.g., Pandas, Numpy, PySpark)
Deep understanding of machine learning algorithms (e.g., decision trees, gradient boosting, neural networks, natural language processing)
Expertise in feature engineering
Experience with building and optimizing data pipelines, ETL processes, and real-time data streaming
Familiarity with model development, monitoring, and versioning in production environments
Strong ability to conduct exploratory data analysis (EDA)
Proven track record of working cross-functionally with technology, analytics, and business teams
Ability to translate complex technical findings into clear, actionable insights
Strong problem-solving skills
Familiarity with regulatory requirements and best practices related to fraud modeling and risk management
Demonstrated ability to manage multiple projects and priorities simultaneously
High level of attention to detail and precision
Strong intellectual curiosity

Nice to have:

Master's Degree or PhD
Experience in fraud detection
Regulatory compliance knowledge

What we offer:

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages including vacation, sick leave, and paid holidays
Discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
August 26, 2025

Expiration:
September 01, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Fraud Specialized Analytics Senior Analyst