Data Scientist
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About the job
We are seeking a highly motivated and detail-oriented Analyst to join our Credit Card Analytics team. This role will focus on analyzing credit card portfolio performance, customer behavior, product trends, business operations to drive strategic insights and business decisions. The ideal candidate will have a strong background in data analysis, financial modeling and a deep understanding of the unsecured lending industry. Roles and Responsibilities: • Analyze large datasets related to credit card portfolios, customer behavior, transaction trends, and operational performance. • Interpret complex data and provide actionable insights to business stakeholders for decision making. • Collaborate with senior management to understand business objectives and deliver data drive insights to support strategic initiatives. • Assist in the development of business cases for new credit card products, marketing strategies and customer acquisition programs. • Conduct ad-hoc analysis and scenario modeling to evaluate the impact of potential business changes or initiatives. • Support the optimization of credit card portfolio by identifying opportunities for product enhancements, risk mitigation, and customer segmentation. • Analyze portfolio performance, including risk, profitability, and customer lifetime value, and provide recommendations for improvements. • Work closely with risk, marketing, finance, and operations teams to align on data, models, and strategies. • Provide analytics support for credit card marketing campaigns, customer retention strategies, and risk management initiatives. • Ensure accuracy, integrity, and consistency of data used for analytics and reporting. • Collaborate with IT and data management teams to improve data infrastructure and data governance practices. • Automate processes to ensure scalability of solutions by collaborating with cross-functional teams.
Requirements
- Data Analysis
- Financial Modeling
- Python
- Pyspark
- SAS
- SQL
Qualifications
- Bachelors
- Masters in a quantitative field (Engineering, Statistics, Econometrics, Mathematics, Operations Research, Computer Science)
Preferred Technologies
- Data Analysis
- Financial Modeling
- Python
- Pyspark
- SAS
- SQL
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About the company
Established in 1985, the Kotak Mahindra Group is one of India’s leading financial services conglomerates. In February 2003, Kotak Mahindra Finance Ltd (KMFL), the group’s flagship company, received a banking license from the Reserve Bank of India (RBI). With this, KMFL became the first non-banking finance company in India to become a bank – Kotak Mahindra Bank Limited. The Group offers a wide range of financial services that encompass every sphere of life. From commercial banking to stock broking, mutual funds, life insurance, and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The Group has a wide distribution network through branches and franchisees across India, with international offices in London, New York, California, Dubai, Abu Dhabi, Bahrain, Mauritius, and Singapore.
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