Fraud Analytics Group Manager, SVP

Fraud Analytics Group Manager, SVP

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Fraud Analytics & Modeling Organization is responsible for the development, testing, implementation, monitoring, and optimization of fraud strategies to prevent and mitigate fraud attacks across the full fraud lifecycle including application, authorization, authentication, and sophisticated new attack schemes. The centralized organization is responsible for strategically balancing the minimization of fraud losses, improving customer experience, and reducing operational expenses across Citi's businesses.

The Citi Wealth Fraud Analytics Team is responsible for the execution of fraud strategies (first party and third party) for Citi's Wealth clientele; Retail Bank, High Net Worth, and Ultra High Net Worth customers. The fraud strategies cover account opening, deposits, and money movement through Debit cards, ATMs, Checks, Wires, Zelle, Bill Pay, ACH etc.

This role manages a team of analysts responsible for fraud strategies while partnering closely with Fraud Policy, Fraud Operations, Technology, and various other partners and executive leadership to keep apprised of business and technology strategic direction to identify potential fraud impacts, driving the fraud analytics strategy.

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 wealth 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.