Specialized Analytics Manager - C12 - GURUGRAM @ Citi

What do we do'The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.ROLE DESCRIPTIONThe role will be Asst. Vice President (C12) in the TTS Analytics teamThe role will report to the VP or SVP leading the teamThe role will involve leading a team of data scientists and analystsThe role will involve leading a team of data scientists and analysts responsible for the full lifecycle of machine learning model development and deployment.The role will involve working on multiple data science projects throughout the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business.This includes understanding business needs, designing, developing, and deploying machine learning models, and communicating insights and recommendations to stakeholders.The candidate should demonstrate a strong understanding of machine learning principles, model development methodologies, and deployment strategies.This will involve leveraging 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 and machine learning solutions to business and functional stakeholders.QUALIFICATIONSExperience:Bachelor’s Degree with 7-10 years of experience in data analytics, or Master’s Degree with 6-10 years of experience in data analytics, or PhD.Must have: Marketing analytics experienceExperience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retentionExperience across different analytical methods like hypothesis testing,…

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