Lead Data Scientist - C11 - Bangalore

The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

Responsibilities:

The role will involve working on

• Multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business
• Multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts, etc.) to provide data driven insights to business partners and functional stakeholders
• As a key contributor to ideation on analytical projects to tackle strategic business priorities
• The role will require endless curiosity, as ambiguity and open-ended questions are a core part of the team’s work
• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• 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.
• Ability to build partnerships with cross-function leaders.

Qualifications:

Experience:

• 5-8 years of relevant experience
• Experience in developing deep learning architectures from scratch to solve complex predictive/forecasting or recommendation based problems
• Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry
• Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data
• Applying Predictive Modeling techniques for a wide range of business problems
• Working with data from different sources, with different complexities, both structured and unstructured

Good to have:

• Experience working with data from different sources and of different complexity
• Prior working experience in Financial Analysis, Forecasting and Recommendations

Education:

• Bachelors/University degree or equivalent experience