About The Position

As part of Citi’s Fraud Analytics, Modeling & Intelligence organization, the Business Analytics Senior Analyst executes fraud analytics and strategies supporting Citi’s North American and global credit card and retail bank businesses. The role uses data to identify fraud trends and designs and implements strategies to prevent and mitigate fraud across the fraud lifecycle, including application and synthetic ID fraud, account takeover, and sophisticated new attack schemes. The analyst partners closely with Fraud Policy, Operations, and other stakeholders to stay informed about business and technology direction and assess potential and existing fraud impacts. The role also supports risk appetite execution, fraud controls and governance, and monitoring of emerging trends.

Requirements

  • Bachelor’s degree in statistics, mathematics, physics, economics, or another analytical or quantitative discipline.
  • At least 3 years of experience in a relevant field.
  • Hands-on coding experience in a Big Data environment using traditional tools such as SAS and SQL and/or open-source tools such as Python, Impala, and Hive.
  • Experience with traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, and Random Forests.
  • Experience with data visualization tools such as Tableau.
  • Excellent quantitative and analytical skills, including the ability to derive patterns, trends, and insights and perform risk/reward trade-off analysis.
  • Good written and verbal communication skills, with the ability to connect analytics to business impacts and present comfortably to peers and management.
  • Extremely detail-oriented, with intellectual curiosity.
  • Ability to multitask and work against tight deadlines.
  • Ability to work independently with baseline instructions and guidelines from management.

Responsibilities

  • Leverage data and advanced analytics to derive patterns, trends, and insights, and perform risk/reward trade-off analysis.
  • Own and manage fraud rules, scores, and detection strategies, including 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 support successful and timely execution of key portfolio priorities.
  • Use acquired knowledge to identify potential process gaps and opportunities to improve the effectiveness of controls and governance processes.
  • Generate and manage regular and ad-hoc reporting to support effective monitoring and identification of emerging trends.

Benefits

  • Medical, dental, and vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages, including planned vacation time and unplanned sick leave
  • Paid holidays
  • Discretionary and formulaic incentive and retention awards may be available to eligible employees
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