RAU-Data Scientist

RAU-Data Scientist

The HDFC Bank Limited
2-5 years
Not Specified

Job Description

Job Description :
A) Scorecard Building and Modelling 1) Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers2) Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Banks strategies so as to gain maximum efficiencies.3) Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.4) Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure5) Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models6) Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders 7) To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies8) To work on various aspects related to automation of scorecards in Analytics domain.9) Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectivesB) Innovation 1) Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.2) Any other assignments depending on the needs of the organizationSkills1) Excellent problem solving capabilities with strong fundamentals in computer science2) Strong technical & analytical skills3) Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms4) Strong written and verbal communication skills5) Excellent knowledge of current trends in the field of machine learning/analytics field

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