Data Scientist - Risk Analytics - NBFC/Banking/Finance Industry

Data Scientist - Risk Analytics - Candidates Prefered from NBFC/Banking/Finance Industry

Experienced in Analytics in Banks / NBFCs with exposure to one or more of following areas :

- Risk Analytics

- Recovery/Collection Analytics

- Experience of working in asset business in a bank / FI

- Proficiency in at least one statistical and other tools/languages - R/Python/SAS

- Familiarity with relational databases and intermediate level knowledge of SQL

Project experience in at least one of the following :

- Logistic regression models

- Classification models

- Cluster Analysis

- Neural Network

- Non-parametric models

- Strong communication skills - verbal & written

- Work in a fast paced environment with one of the most analytically advanced NBFCs

- Provide analytics support for all FICC portfolios on as needed basis

- Enable analytics driven decision making across risk, business and collections

- Perspective

Key Performance Indicators :

Business :

- Devise scorecard and model driven strategies across all products.

- Develop expertise to implement scorecards in scoring engines.

- Devise strategies to improve marketing efficiency targeted at new customer acquisition and cross sell

- Devise pre-approved marketing campaigns to increase disbursals

- Track all scorecards- performances and highlight to management in case of any breaches/actions required.

- Analyze bureau information to recommend strategies for use in the current decision making framework.

- Reporting any adverse trends in portfolio performance.

- Help establish a clear risk-reward measurement based customer strategy with a pricing framework

- Develop strategies to define customer profile and enhance customer profitability

Customer Focus :

- Internal customers will be across levels

- Product risk managers & business managers

- Risk & business heads

- Process / Quality Improvement

- Continuously work with business, policy and technology teams to improve strategies, identify and plug leakages and drive automated decision making.

- Work with team leads to identify Analytics opportunities in aiding decisions across business