Senior Fraud Analytics & Strategy Analyst

Citi; New York (NY); On-site; USD 87,000 - 131,000; Full time

Job summary

Citi is seeking a Senior Business Analytics Analyst to join the Fraud Analytics, Modeling & Intelligence group. The role focuses on applying data analytics to detect and mitigate fraud across card and retail banking lines, including synthetic ID and account takeover schemes.

Responsibilities include building fraud rules and detection strategies, collaborating with policy and operations, and delivering regular reports to track trends, with a strong emphasis on data-driven decision making.

Qualifications

• Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
• 3+ years in relevant field.
• Experience with Big Data environments and coding in SAS/SQL and/or Python, Impala, Hive.
• Experience with machine learning techniques such as logistic regression, gradient boosting, random forests.
• Experience with data visualization tools such as Tableau.

Responsibilities

• Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
• Ownership and management of fraud rules, scores, and detection strategies, risk appetite execution, POS interdiction strategies and defect analysis.
• Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies.
• Build effective relationships within and outside the Fraud organization to ensure timely execution of portfolio priorities.
• Leverage knowledge of information to identify potential process gaps and opportunities for improving controls and governance processes.
• Generate and manage regular and ad-hoc reporting to monitor emerging trends.

Skills

Big Data

SAS/SQL

Python

Tableau

Machine Learning

Education

Bachelor’s in analytics/statistics

Tools

Impala

Hive

Job description

Citi is seeking a Senior Business Analytics Analyst to join the Fraud Analytics, Modeling & Intelligence group. The role focuses on applying data analytics to detect and mitigate fraud across card and retail banking lines, including synthetic ID and account takeover schemes.

Responsibilities include building fraud rules and detection strategies, collaborating with policy and operations, and delivering regular reports to track trends, with a strong emphasis on data-driven decision making.