RAU-Data Scientist

Company:
Location: Bengaluru, Karnataka

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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 customers 2) 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 closure 5) 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 models 6) 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 strategies 8) 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 objectives B) 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 organization.


Skills

  • 1) Excellent problem solving capabilities with strong fundamentals in computer science
  • 2) Strong technical & analytical skills
  • 3) Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms
  • 4) Strong written and verbal communication skills
  • 5) Excellent knowledge of current trends in the field of machine learning/analytics field

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