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Fraud Risk Group Manager - Fraud Fusion Center Threat Intelligence Analytics

Job Req ID 21335119 Primary Location New York, New York; Wilmington, Delaware Job Category Risk Management
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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.

Role & Responsibilities:

The Fraud Risk Group Manageris a member of the Fraud Fusion Center (FFC) leadership team responsible for theIntelligence Data Analysisteam. The team leverages a variety of unconnected data sources to identify fraud activity related to emerging trends, fraudster tactics, and anomalous activity.

Key responsibilities include:

• Derive trends and patterns via seemingly unconnected data sources.

• Leverage analytical tools and data science techniques to extract information from data

• Continuously optimize processes and look for new methods and opportunities to obtain fraud threat intelligence

• Manage significant fraud events by helping coordinate information sharing across GCB Fraud Prevention

• Partner with various cross-functional teams such as Global Fraud Policy, Analytics & Modeling, and Security Operations Center (SOC) to help design Intelligence derived strategies to detect Fraud.

• Partner with the Fraud Analytics Modeling function to optimize detection capabilities leveraging unstructured data sets/variables


Qualifications:

  • 5+ years relevant experience in data analysis, data mining, or statistical analysis
  • Predictive modeling, including decision tree modeling and integration into business strategies
  • SAS programming software using statistical analysis


Education:

  • Bachelor’s/University degree, Master’s degree preferred


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Required Skills:

• Intermediate or advanced knowledge of both fraud and cyber security; and how these disciplines correlate to Financial Crimes.

• Intermediate or advanced knowledge of fraud threat intelligence and threat hunting methodologies.
• Must have a working knowledge of SQL, Teradata, and other RDBMS tools and cloud based data systems (ie. Hadoop, AWS).

• Knowledge of manipulating unstructured data using SAS/Python/R and full stack Python development.
• Prior experience in developing dynamic dashboards using visualization tools such as Tableau, or front end programming languages such as JavaScript.
• Knowledge of first and third party fraud prevention tools and services.

• Strong knowledge of third-party authentication technologies.

• Excellent quantitative/analytical skills with a data-driven mindset; ability to derive patterns, trends and insights from seemingly unrelated data sources.

• Strong MS Office knowledge including Excel, Word, PowerPoint and Visio.

• Ability to effectively collaborate with cross-functional partners and management.

• Solutions-oriented “can do” attitude, with ability to consistently drive innovation.

• Detail-oriented, with strong, intellectual curiosity. Ability to multi-task in a fast-paced, evolving landscape, while setting high standards.

• Strong people leader operating in a high-performance environment.

*This role may be eligible to sit at other US Citi locations.

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Job Family Group:

Risk Management

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Job Family:

Fraud Risk

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Time Type:

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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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