Data Scientist

Job Purpose: Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics.

Job Responsibilities(JR) : 6 - 8 Areas Actionable (4-6)

- Scorecard Building and Modelling - Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers

- 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 Bank's strategies so as to gain maximum efficiencies.

- Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.

- 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

- 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

- Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders

- To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies

- To work on various aspects related to automation of scorecards in Analytics domain.

- Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives

- Innovation - Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.

- Any other assignments depending on the needs of the organization

Educational Qualifications Key Skills:

1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred - Excellent problem solving capabilities with strong fundamentals in computer science

- Strong technical & analytical skills

- Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms

- Strong written and verbal communication skills

- Excellent knowledge of current trends in the field of machine learning/analytics field

Experience Required:

- Experience of 2+ years in analytics/predictive modeling/machine learning

- Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models

- Exposure to banking preferable

- Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)

- Credit Policy

- Underwriting

- Process

- Fraud Control

- Product

- Credit Bureaus

- Third Party Analytics Service Providers

- IT

- Legal

- Information Security

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