Citi Group Data Science Group Manager SVP - TAMPA 

United States, Florida, Tampa 

279272199

Responsibilities:

• Manages multiple teams or a functional area (depending on size of business) who support key functions within the business through collection, analysis, review, reporting, documentation and communication of business needs and requirements.

• Develops strategic direction for function.

• Accountable for budget, policy formulation and planning.

• Resolves complex and highly variable issues with substantial potential impact.

• Applies comprehensive understanding of BP&A concepts and procedures within own area and basic knowledge of other areas to resolve issues that have impact beyond own area.

• Directs subordinates' performance and makes recommendations for pay increases, hiring, terminations and other personnel actions.

• Manages compliance efforts to follow policies and procedures, as well as contribute to defining standards.

• Demonstrates an in-depth understanding of how own area integrates within the overall function to achieve objectives; requires a good understanding of the industry.

• Provides evaluative judgment based on analysis of factual information in complicated, unique and dynamic situations; draws on diverse range of internal and external sources; Accountable for end results.

• Utilizes excellent communication skills required in order to negotiate internally, often at senior levels (across functions); may communicate with external parties.

• Other duties and functions as assigned.

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• 10+ years experience with tools used for statistical analysis

• Experience with defining and implementing data science programs

• Knowledge of advanced statistical/machine learning techniques, algorithms, concepts and experience in the application

• Proficient in tools used for statistical analysis (preferred SAS, Python, Dataiku)

• Preferred experience in AML

• Bachelor’s/Universitydegree or equivalent experience, potentially Master’s degree

• MBA or Advanced Degree in Statistics, Mathematics, Analytics, Information Systems, Business Analysis / Computer Science preferred

Anticipated Posting Close Date:

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