Citi Group SVP Business Analytics Group Manager 

United States, Texas 

662613407

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.