Monday , May 27 2024

Citi Recruitment – Fraud Risk Officer

Website Citi

Job Description:

As part of the Fraud Analytics, Modeling & Intelligence organization, this role manages and executes the fraud analytics and strategies supporting Citi’s North American and global credit card and retail bank businesses. This includes leveraging data to identify fraud trends, designing and implementing strategies to prevent and mitigate fraud attacks across the fraud lifecycle, including application and synthetic ID fraud, account takeover and sophisticated new attack schemes.

Job Responsibilities:

  • Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
  • Ownership and management of fraud rules, scores, and detection strategies, Risk appetite execution, POS interdiction strategies and defect analysis.
  • Continually assess manual and automated processes to identify potential process gaps and opportunities.
  • Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
  • Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies.
  • Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.

Job Requirements:

  • Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
  • Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
  • 5+ years experience in analytics and modeling or relevant area.
  • Ability to build effective presentations to communicate analytical findings to a wide array of audiences.
  • Extensive experience working with: Big Data environment with hands on coding experience within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools; Traditional and advanced machine learning techniques and algorithms, such as Logistic
  • Regression, Gradient Boosting, Random Forests, etc.; Data visualization tools, such as Tableau
  • Ability to make decisions independently with minimal guidance from management.
  • Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.

Job Details:

Company:  Citi

Vacancy Type:  Full Time

Job Location: Wilmington, DE, US

Application Deadline: N/A

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