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Primary Location: United States,Delaware,Wilmington
Other Location: United States,Florida,Jacksonville; United States,Georgia,Atlanta; United States,Illinois,Elk Grove Village
Education: Bachelor's Degree
Job Function: Risk Management
Shift: Day Job
Employee Status: Regular
Travel Time: Yes, 10 % of the Time
Job ID: 18073507
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 Analyst
We are looking for an energetic, motivated professional to join our growing team, supporting fraud strategy development with a particular analytic focus on Identity Theft and Fraud Application. The candidate will work closely with the various stakeholders including Fraud Operations, Claims, Prevention, Technology, other risk teams and business owners. The candidate will be responsible for the development and implementation of strategies in various fraud engines in addition to developing enhanced solutions and working with potential vendors on expanding our rapidly evolving risk platforms.
Develop and implement effective fraud detection and prevention strategies to mitigate identity theft and application fraud losses for Retail Services while ensuring an appropriate balance between risk, operational costs and customer experience is maintained. This includes but not limited to behavioral and rules-based strategies to more complex analyses involving decision trees, text mining, clustering, and development of deep learning models.
Support large scale projects including testing and deployment of new vendor scores, and development of business cases for new technology
Ensure product approval rates, operational review volumes, and application fraud losses are managed within planned guardrails
Share best practices with partners
Partner in decision quality/defect reviews to identify strategy opportunities on incurred application fraud losses
Develop (or partner with MIS group) reporting on fraud application losses, trends and other controls
Bachelor's degree in Statistics, Economics, Finance, Mathematics, Computer Science, or a related quantitative field, is required. An advanced degree is highly desirable
One to three years of risk experience in the banking/financial industry is preferred but not required
Experience in the fraud risk discipline in Credit Cards or other Consumer Banking products is desired
Strong analytical skills with familiarity working in large and complex database environment
Experience in statistical and data analysis in at least one of the following statistical software packages: SAS/SQL (required), R, SPSS, Python, or equivalent
Experience with decision trees and machine learning is desired
Experience with UNIX desired
Excellent organization skills
Excellent interpersonal skills, including verbal, written and presentation communication skills
Excellent problem solving, conflict resolution and change management skills
Self-motivated, with ability to actively lead and implement ideas effectively in a collaborative and cross-functional working environment
Internal Number: 5636492
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