As part of the Financial Crimes & Fraud Prevention – Global Analytics, Modeling, and Data organization, this role will strategically manage customer fraud escalations and optimizing strategy rules for improved customer experience for the Citi Retail Services and Brands portfolios.

The Citi Cards Fraud Analytics Team is responsible for the execution of fraud analytics and strategies including leveraging data to identify fraud trends then designing and implementing strategies to prevent and mitigate fraud attacks across the full fraud lifecycle including application and synthetic ID fraud, account takeover, and sophisticated new attack schemes.

This role requires a strategic professional who leads a team leveraging data to optimize fraud rules via impact analysis, partnering closely with Fraud Policy, Operations and various teams to keep apprised of business and technology direction to determine potential and existing fraud impacts. Excellent communication skills are required to successfully partner and negotiate internally.

Responsibilities:

• Drive innovation via thought leadership while maintaining end-to-end view and leveraging Global cutting-edge techniques
• Ownership and management of fraud rules, scores, and detection strategies, Risk appetite execution, POS interdiction strategies and defect analysis
• Deliver tangible business benefit and value (e.g., loss avoidance, expense optimization, enhanced customer experience)
• Introduce cutting-edge techniques via new tools and usage of data/information; continually ensure processes (the “how”) are optimized to enable rapid decisioning
• Collaborate with cross-functional partners and management to define strategies that balance risk and return; holds self, seniors and peers accountable to openly debate the best possible solutions.
• Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
• Continually assess manual and automated processes to identify potential process gaps and opportunities.
• Prioritize and provide a clear line of sight to the most critical work to partners and team members.
• Manage and develop high performing team; establish bench strength to support needed fraud capabilities and business goals.

Qualifications: ​

• 8+ years in fraud or risk management; experience in analytics and modeling or relevant area preferable.
• 5+ years people management experience, direct or indirect. 
• 3+ years working in the card segment of the financial industry

• Extensive experience working with Big Data environment, coding within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools, and advanced machine learning techniques.  
• Traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
• Data visualization tools, such as Tableau

• Excellent quantitative and analytic skills; ability to derive patterns, trends, and insights, and perform risk/reward trade-off analysis.
• Deliver compelling presentations and influence executive audiences.
• Excellent communicator: ability to engage and inspire team forward.
• Effective coaching, mentoring and talent development skills; ability to identify development areas, provide sound feedback, and guide employees to action.

Education:

• Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master's Degree or PhD preferred.

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