Primary Location: United States,Delaware,Wilmington
Other Location: United States,Florida,Jacksonville
Education: Bachelor's Degree
Job Function: Risk Management
Shift: Day Job
Employee Status: Regular
Travel Time: Yes, 10 % of the Time
Job ID: 18054304
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
Citi's Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients' and the public's trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.
Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all.
Fraud Risk Senior Manager
Citi is currently transitioning its Fraud Analytics Customer Experience team into a data science-based organization. We are looking for an energetic and motivated analytics professional to join our growing team, supporting fraud strategy development for our branded credit card business with a focus on improving the fraud authorizations customer experience. The candidate will work closely with various stakeholders including fraud analytics, fraud operations, fraud policy, technology, other risk teams, and business owners to coordinate customer experience efforts. The candidate will be closely involved with analysis, presentation, implementation, and monitoring of the strategies in the fraud detection system in addition to using analysis to support process improvements outside of authorization strategies all while balancing fraud risk.
Develop and implement effective fraud authorization suppression strategies to mitigate false positives from fraud loss mitigation efforts for the branded credit card business while ensuring an appropriate balance between risk, operational cost, and customer experience. These may be simple strategies based on decision trees, to more complex analyses involving text mining, clustering, or other advanced techniques
Analysis of customer transaction data to develop and improve transactional or authentication fraud prevention strategies for diverse card present and card not present scenarios
Identify patterns to detect false positive trends by evaluating combinations or sequence of events from different data sources
Managing a group of fraud analysts
Support large scale projects including testing and deployment of new vendor scores or tools, as well as development of business cases for new technology
Develop and review MIS reports and communicate the fraud results to the business
Share best practices with partners
Partner in root cause analysis and decision quality/defect reviews to identify strategy opportunities to improve performance
Work within a business end to end agile framework where teams are cross-functional and empowered, activities are time-boxed around specific outcomes, work is iterative and incremental, and problems are solved in a modular and adaptive manner
Bachelor's degree in Statistics, Economics, Finance, Mathematics, Computer Science, or a related quantitative field, is required. An advanced degree is highly desirable
A minimum of 5 years of experience in applied analytics is required, preferably in a risk management context
People leadership experience
Experience in the banking/financial industry
Experience in the agile methodology of iterative project management
Experience in the fraud risk discipline in Credit Cards or other Consumer Banking products is desired
Experience in implementing strategies into real-time fraud prevention systems is desired
Strong analytical skills. Familiar with large dataset environments
Experience in statistical and data analysis in at least one of the following statistical software packages or languages: SAS (required), SQL, R, or Python
Experience with UNIX desired
Excellent organization skills
Excellent communication and presentation skills are required
Ability to be flexible and work in a rapidly changing environment
Must be extremely motivated with a desire to continuously learn and refine our processes
Internal Number: 5479175
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