Responsibilities:

• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.


• 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 determine 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.


• Leads system change process from requirements through implementation; provides user and operational support of application to business users.


• Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.


• Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.


• 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.


• Performs 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.

Qualifications:

• 5-10 years experience in business and data analysis, process improvement and project management


• 3+ years of experience working in the analytics field


• 2+ years’ professional data science experience


• 2+ years’ experience coding in python for data science related projects


• Knowledge of probability, statistical and machine learning models with proven track record in choosing, modifying and applying advanced algorithms to address practical problems


• 2+ years of proficient hands-on coding skills in python


• Experience in querying and manipulating raw datasets for analysis in big data environment


• Understanding of statistics (hypothesis testing, regressions, etc.)


• Experience working independently


• Communicator skills explaining technical concepts and analysis implications to varied audiences


• Ability to translate business objectives into actionable analysis


• Experience with SQL or related query language


• Strong problem-solving skills

Preferred Qualifications

• Proven experience in running end-to-end research POCs from ideas to customer impact solutions including the design, execution, analysis and conclusions of your research, methodologies and outcomes.


• Knowledge in big data systems (Hadoop, Spark, Hive)


• Prior experience working with remote teams in multiple time zones

Education:

• Bachelor’s/University degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, or relevant qualifications that can be suitable for this position / or equivalent experience