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Established in 1985,is one of India's leading financial services conglomerates. In February 2003, Kotak Mahindra Finance Ltd. (KMFL), the Group's flagship company, received banking license from the Reserve Bank of India (RBI), becoming the first non-banking finance company in India to convert into a bank - Kotak Mahindra Bank Ltd (KMBL).

Kotak Mahindra Group (Group) offers a wide range of financial services that encompass every sphere of life. From commercial banking to stock broking, mutual funds, life and general insurance and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The premise of Kotak Mahindra Group's business model isconcentrated India, diversified financial services.The bold vision that underscores the Group's growth is an inclusive one, with a host of products and services designed to address the needs of the unbanked and insufficiently banked. For more information, please visit the Company's website at

• Drive business/campaigns and provide solutions using data driven insights, leveraging the use of digital channels and finding business opportunities.
• The role holder will be responsible for dashboards, data support, segmentation/scorecards, analytics and customer insights.
• He/ She should be comfortable working with heavy datasets and should have an analytical bent of mind.
• Adhere to documented process and compliance requirements.
• Interact with data scientists for building analytical solutions towards objective of analytical business delivery. Interact with internal and external technology stakeholders for analytical business delivery.
• Translate business requirement to technical specs/ Biz Req doc/ Functional spec
• Work on understanding business requirement and mapping the requirement to technical availability of data
• Creation of variables and hypothesis based on business/ analytical request
• Validate the findings and prepare business presentation
• Should liaise with various stakeholders from Biz to IT on timely basis
• Knowledge of database lifecycle needed
• Understand the data sources and availability for model development.
• Ensure the solution solves the business problem in the most efficient and interpretable form for business users.
• Help the data scientists to understand the business problem and design a suitable solution/ model to solve it.
• Implementing the solution and executing on insights - drive adoption among business users. Oversee the development of application to use the model and increase its adoption by internal marketing and incentives to the users.

• Should be comfortable with SAS, Macros and SQL queries.
• Knowledge on Python and cloud technologies
• Experience on data visualization tools like Power BI, tableau etc.
• Should have an active interest in Banking/Finance domain.
• Motivated and determined candidate with a zeal to handle responsibilities and take initiatives.
• Candidate must have excellent organizational skills, be level-headed, and have good interpersonal skills.
• Highly logical individuals with appreciation of emerging analytical and marketing technologies.
• Strong communication skills to effective interaction with business stakeholders.
• Advanced presentation and write-up skills.
• Analytical skills & ability to quickly understand / anticipate the business requirement and outline the business benefit
• Problem solving ability