The Retail Assets Data Science team in Kotak Mahindra Bank is responsible for developing risk, marketing and allied scorecards for Retail Assets products. The core work charter includes supporting different products under Retail assets by developing marketing, cross-selling, acquisition, customer management and collections scorecards for multiple products (credit cards, personal loans, consumer durables etc.) using cutting-edge Data Science capabilities and Data platforms.
Requirements
- Bachelors/Masters in a quantitative field (Engineering, Statistics, Econometrics, Mathematics, Computer Science etc)
- 2-5 years of experience as a Data Scientist preferably in the banking or financial services sectors
- Strong programming background (Python, Pyspark, SAS, SQL etc.)
- Hands on experience in building and implementing best in class Machine Learning models.
- Familiarity with ML models - XGBoost, Light GBM, Random Forests, SVMs, multivariate analysis, clustering, dimensionality
- Experience in carrying out data processing including statistical analysis, variable selection, and dimensionality reduction, custom feature engineering, as well as the evaluation of new alternate data sources
- Experience in partnering with technology teams to implement models/algorithms in production
- Ability to communicate clearly and effectively with stakeholders at all levels of the business
- Ability to work independently and deal with ambiguity.
- Highly motivated and collaborative team player with strong interpersonal skills