Citigroup VP, Data Scientist-Business Simplification Group in New York, New York
Data Scientist, VP, Business Simplification Group
The team’s mandate within Business Simplification Group (BSG) is to rapidly develop and implement various Data Science, Machine Learning ideas and collaborate extensively with other areas within the organization and external vendors to simplify and optimize business processes and improve data quality. Opportunities for application of data science methodologies will be identified through a combination of understanding of problems experienced in managing processes and related data, and studying relevant emerging trends in this field. The initial focus will be to identify and execute proof of concepts that once proven will be scaled up and made operational. We are looking for an energetic, resourceful and experienced data scientist, who is willing to take part in this exciting journey to help Citi achieve the Business Simplification and Data Quality improvement mandate.
Design rigorous and statistically valid data science, machine learning use case hypotheses, with detailed data requirement definition, feature selection, machine learning and deep-learning based technique identification and success metrics definition.
Partner within CDO and other functional area team members, stakeholders to ensure alignment of objectives with other ongoing and future initiatives.
Provide expertise in proof of concept development and prioritization, and execute proof of concepts on Big Data and desktop platforms, either independently or in partnership with external vendors, for testing ideas and scaling up proven concepts.
Identify internal data for analysis and extend with third party sources of information, when needed, while enhancing data collection procedures to include information that is relevant for building analytic systems. Process, cleanse, and verify the integrity of data used for analysis.
Stay up to date about latest development in this area by identifying relevant emerging Data Science techniques, tools and proven cases in banking and other industries.
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions
May lead system change process from requirements through implementation; provides user and operational support of application to business users
Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts
Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
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.
Communicate progress, and present results in a clear manner.
Master’s Degree strongly preferred in Computer Science, Engineering, Statistics, Math, or related quantitative disciplines
At least six years of hands on relevant data science experience in using data analytics, visualization, statistical programming and data mining for problem-solving, with domain knowledge and experience in Banking a plus
Understanding of Data Quality issues and Data Governance concepts, a plus
Excellent understanding of data science, machine learning techniques, algorithms and toolkits to develop solutions that are ready for production and can perform at scale
Applied quantitative and statistics skills, such as statistical analysis, distributions, multivariate testing, regression and optimization algorithms etc. to design tests, interpret and explain results
Proven experience with programming languages, such as Python, R, Matlab, C/C++, Java or Scala for large scale data analytics
Data oriented personality with experience in identification, preparation and visualization of large scale structured and unstructured data from multiple databases and formats. Experience in financial data, a plus
Experience in executing and solving problems in Big Data as well as desktop platforms, for rapid testing and execution of ideas and scaling them up for production
Experience in developing and designing tests to validate ideas
Process Improvement or Project Management experience
Ability to work collaboratively with regional and global partners in other functional units; ability to navigate a complex organization; to influence and lead people across cultures at a senior level
Excellent written, verbal and analytical skills. Communication skills to influence people to exchange information and results
Strong presentation skills with the ability to articulate complex problems and solutions through concise and clear messaging
Must be a self-starter, flexible, innovative and adaptive. Intellectual curiosity, to stay up to date about latest development in this area
Highly motivated, strong attention to detail, team oriented, organized
Job Family Group:
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