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: 19025061
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.
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 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. 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.
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.
Analyze customer transaction data using various techniques such as decision trees, regression, text mining, clustering, or other advanced techniques.
Develop actionable strategies leveraging a diverse set of inputs including POS methods, notifications, customer profiles, status, merchant history, etc.
Identify patterns to detect false positive trends by evaluating combinations or sequence of events from different data sources.
Develop and review MIS reports and communicate the results to the business.
Partner in root cause analysis and decision quality/defect reviews to identify strategy opportunities to improve performance.
Support large scale projects including testing and deployment of new vendor scores or tools, as well as development of business cases for new technology.
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.
Share best practices with partners.
Bachelor's degree in Statistics, Economics, Finance, Mathematics, Computer Science, or similar quantitative field, is required. An advanced degree is highly desirable.
A minimum of 5 years of experience in applied analytics is required in the banking / financial industry (required), preferably within the fraud risk discipline
Must have strong analytical skills and familiar with large dataset environments (such as UNIX)
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 in implementing strategies into real-time fraud prevention systems is desired
Must be extremely motivated with a desire to continuously learn and refine our processes
Excellent organization skills with an ability to be flexible and work in a rapidly changing environment
Excellent communication and presentation skills are required
People and project leadership experience
Experience in the agile methodology of iterative project management, preferred
Internal Number: 6123424
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