06 Sep
|
FetchJobs.co
|
India
06 Sep
FetchJobs.co
India
About The Company
Kotak Mahindra Bank is one of India's leading financial institutions, renowned for its innovative banking solutions and customer-centric approach. Established with a vision to provide comprehensive financial services, the bank has grown exponentially over the years, establishing a solid presence across the country. Committed to leveraging technology and data-driven insights, Kotak Mahindra Bank continuously strives to enhance customer experience, operational efficiency, and product offerings. Its core values emphasize integrity, transparency, and innovation, making it a trusted name in the banking sector.
About The Role
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. As a Data Analyst at Kotak Mahindra Bank, you will play a pivotal role in transforming raw data into strategic insights that drive business decisions and innovations.
This position offers an exciting opportunity to work at the intersection of data science and banking, contributing to the development of predictive models, enhancing customer experiences, and optimizing operational processes.
Qualifications
Bachelor's degree or equivalent experience in quantitative fields such as Statistics, Mathematics, Computer Science, Engineering, or related disciplines.
At least 1-2 years of experience in quantitative analytics or data modeling, preferably within the banking or financial services industry.
Deep understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms.
Proficiency in programming languages such as Python, C, C++, Java, or SQL.
Familiarity with Big Data frameworks and visualization tools like Cassandra, Hadoop, Spark, and Tableau.
Responsibilities
Analyze raw data: assessing quality, cleansing, and structuring data for downs
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