AVP Data Scientist (Fraud Risk Officer) – C12

AVP Data Scientist (Fraud Risk Officer) – C12

  • Anywhere

Company Name:-
Citi

Job Location:-
Wilmington, DE 19802

Job Summary:-
About Global Consumer Bank
Citi’s Global Consumer Bank (GCB), a global leader in credit cards, wealth management and commercial banking, serves as a trusted partner to more than 110 million customers in 19 countries worldwide, providing financial services that enable growth and economic progress.

The Global Consumer Bank operates four business lines — Branded Cards, Retail Services, Retail Banking and Commercial Banking — in three priority markets: Asia, Mexico and the U.

S.

Over the past few years, our business has transformed to become a simpler, leaner, focused franchise.

Citi is on a journey to become a world-class digital bank has tangibly accelerated with a mobile-first strategic focus and deployment of a new, agile operating model fostered massive improvements in the design and delivery of digital features and in the customer experience.

As a result the franchise has seen significant growth in the number of digital users, mobile downloads and digital engagement.

About the GCB 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 and fraudulent customers.

To combat the agile threat, the Global Consumer Bank (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.

Data Scientist (Fraud Risk Officer)
As part of the Fraud Analytics, Modeling & Intelligence organization, this role executes the fraud analytics and strategies supporting Citi’s North American and global credit card and retail bank businesses.

The role will utilize cutting-edge machine learning tools and data mining environment to identify fraud trends, designing and implementing strategies/models to prevent and mitigate fraud attacks across the fraud lifecycle, including application and synthetic ID fraud, account takeover and sophisticated new attack schemes.

This role partners closely with Fraud Policy, Operations and

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