AVP, First Party Fraud Business Analytics Sr Analyst

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. 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, and sophisticated new attack schemes. This role partners closely with Credit Risk Policy, Fraud Policy, Operations, Technology and various partners to keep apprised of business and technology direction to determine potential and existing fraud impacts. Responsibilities include supporting implementation of fraud risk strategies for consumer and commercial card businesses with decision engine systems in accordance with defined change control procedures and controls; assisting in the management of business requirements, testing, and implementation of projects impacting fraud decision systems as well as system incidents; refining framework for change control risk assessment including evaluation of control gaps within existing processes; supporting Governance process, evaluating historical performance and emerging changes in the environment; building effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities; identifying data patterns & trends, and providing insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.; translating data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicating clearly and effectively to business partners and senior leaders all findings; collaborating with cross-functional teams to provide strategy recommendations based on data and trend analysis and implement mitigation strategies; continuously improving processes and strategies by exploring and evaluating new data sources, tools, and capabilities; working closely with internal and external business partners in building, implementing, tracking, and improving fraud capture decision strategies; may be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis; appropriately assessing risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing, and reporting control issues with transparency; generating and managing regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends. Qualifications include Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline; 3+ years of experience in analytics, modeling, or relevant area in a Big Data environment with hands on coding within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools; experience using traditional and advanced machine learning techniques and algorithms such as Logistic Regression, Gradient Boosting, Random Forests, etc. as well as 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; experience analyzing large datasets; applying mathematical, statistical and quantitative analysis techniques to perform complex analyses and data mining; 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. Master's Degree preferred.