VP Fraud Risk Business Analytics Lead

Job Overview

As part of the Financial Crimes and Fraud Prevention organization, this role manages and executes the first party fraud analytics and strategies supporting Citi’s North American and global credit card businesses. The position focuses on identifying fraud trends and designing and implementing prevention strategies across the full fraud lifecycle, including application and synthetic  as well as sophisticated new attack schemes. The role partners closely with Credit Risk Policy, Fraud Policy, Operations, Technology, and other stakeholders to keep abreast of business and technology direction and assess potential fraud impacts.

• Lead implementation of fraud risk strategies for consumer and commercial card businesses with decision engine systems in accordance with defined change control procedures and controls.
• Own and manage fraud rules, scores, and detection strategies, risk appetite execution, POS interdiction strategies and defect analysis. Lead gathering of business requirements, testing, and implementation of projects impacting fraud decision systems as well as system incidents.
• Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
• 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.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities.
• Leverage customer data to build risk segmentation/mitigation strategies and complete complex analyses to identify strategy and procedure gaps, manage implementation process across several systems to effect change.
• Lead key analytical projects within the card first party fraud analytics team and support the Card lines of business by utilizing advanced predictive analytical and statistical techniques.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate findings clearly and effectively to business partners and senior leaders.
• Work closely with internal and external business partners in building, implementing, tracking, and improving fraud capture decision strategies.
• Refine framework for change control risk assessment including evaluation of control gaps within existing processes.
• Support governance process, evaluating historical performance and emerging changes in the environment.
• Prioritize and provide a clear line of sight to the most critical work to partners and team members.
• Mentor and coach junior team members.

• Bachelor’s Degree required;
  Master’s preferred in statistics, mathematics, physics, economics, or another data analytical or quantitative discipline.
• 7+ years of experience required.
• 6+ years of experience in analytics, modeling, or a related area.
• Extensive experience working with:
• Big Data environment with hands‑on coding within various traditional (SAS, SQL, etc.) and/or open‑source (e.g., 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 analytical skills; ability to derive patterns, trends and insights, and perform risk/reward trade‑off analysis.
• Experience analyzing large datasets and applying mathematical, statistical and quantitative techniques to perform complex analyses and data mining.
• Ability to build effective presentations and communicate analytical findings to a wide array of audiences.
• Effective cross‑functional project, resource, and stakeholder engagement and management skills with the ability to drive collaboration across teams.
• Ability to make decisions independently with minimal guidance from management.
• Experience with a prior focus in financial services analytics preferred.

Job Family Group: Decision Management

Job Family: Business…