Fraud Analytics Lead Analyst – Wealth

Job description

Date - JobBoardly X Webflow Template
Posted on:
January 9, 2024

The Citi Global Wealth (CGW) organization is responsible for serving over 500,000 clients across its global footprint in Asia, Europe, Mexico, and North America. It delivers the full range of wealth products across investments, banking, lending, insurance, trust services and financial planning & advice across the wealth spectrum by delivering and expanding investment opportunities, advice, tools, and analytics catered to specific client needs. Within Citi Global Wealth, the Fraud Analytics Team is responsible for the execution of fraud analytics and strategies. This includes leveraging data to identify fraud trends then designing and implementing strategies to prevent and mitigate fraud attacks across the full fraud lifecycle including application and synthetic ID fraud, account takeover, and sophisticated new attack schemes.This role partners closely with Fraud Policy, Operations and various partners to keep apprised of business and technology direction to determine potential and existing fraud impacts.This role also may also have direct or indirect management responsibility of team members.


  • Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
  • 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 help ensure successful and timely execution of key portfolio priorities.
  • Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
  • 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.
  • Prioritize and provide a clear line of sight to the most critical work to partners and team members.
  • Mentor and coach junior team members.

Job requirements

  • Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
  • 5+ years experience in analytics or relevant area required, experience working in the wealth segment of the financial industry, preferred
  • 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
  • Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
  • Ability to build effective presentations to communicate analytical findings to a wide array of audiences.
  • Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.
  • Ability to make decisions independently with minimal guidance from management.