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About the Global Consumer Bank Fraud Prevention Organization: The financial crimes environment continues to be challenging, with cybercrime worldwide remaining highly lucrative and criminals becoming more organized and sophisticated, making it harder to distinguish between real customers and bad actors. To combat the agile threat, the GCB Fraud Prevention organization operates leveraging an intelligence-led, threat driven model that targets fraud along the entire fraud lifecycle, enabling the integration of analysis, dissemination of information and coordination of action with speed and agility across businesses and regions.
The Fraud Risk Senior Analysts executes the fraud analytics and strategies supporting Citi's North American and global credit card and retail bank businesses This includes leveraging data to identify fraud trends, designing and implementing strategies to prevent and mitigate fraud attacks across the fraud lifecycle, including application and synthetic ID fraud, account takeover and sophisticated new attack schemes.
Leverage internal and external intelligence, data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
Own and manage fraud rules, scores, and detection strategies to help prevent and mitigate current and emerging threats.
Effectively collaborate with cross-functional teams to provide strategy recommendations and implement mitigation actions.
Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
Bachelor's Degree required in statistics, economics, finance, mathematics, information management and systems, and computer science. Master's Degree or PhD preferred.
Experience with Big Data environment, with hands-on coding experience within various traditional (SAS, SQL, etc.) and/or open source tools (Python, Impala, R, Hive, etc.). Experience with machine learning techniques and algorithms, and with data visualization tools preferred.
Excellent quantitative and analytic skills; ability to derive patterns, trends and insights.
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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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