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 Banks 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 5+ years in analytics/predictive modeling/machine learning
• Experience of 5+ 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