Data Scientist

Vertical : Credit analytics and innovation

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