Senior Analytics Scientist - Risk Analytics

Key responsibilities include :

- Building models to predict risk and other key metrics

- Coming up with data driven solutions to control risk

- Finding opportunities to acquire more customers by modifying/optimizing existing rules

- Doing periodic upgrades of the underwriting strategy based on business requirements

- Evaluating 3rd party solutions for predicting/controlling risk of the portfolio

- Running periodic controlled tests to optimize underwriting

- Monitoring key portfolio metrics and take data driven actions based on the performance

Business Knowledge: Develop an understanding of the domain/function. Manage business process (es) in the work area.

- The individual is expected to develop domain expertise in his/her work area.

- Teamwork: Develop cross site relationships to enhance leverage of ideas. Set and manage partner expectations.

- Drive implementation of projects with Engineering team while partnering seamlessly with cross site team members.

- Communication: Responsibly perform end to end project communication across the various levels in the organization.

Skills:

- Should have solid understanding of probability and stats; Bayesian methods, probability distributions, Central limit theorem etc.

- Should be familiar with some of the following GLM, logistic regression, Random forest, Gradient boosting trees, CART, Na- ve bayes, Linear Program, Mixed Integer program, etc.

- Knowledge of analytical tools such as R/Python/SAS/SQL

- Experience in handling complex data sources

- Dexterity with MySQL, MS Excel

- Strong Analytical aptitude and logical reasoning ability

- Strong presentation and communication skills.

- Strong process/project management skill

Preferred:

3 - 5 years of experience in Financial Services/Analytics Industry/eCommerce

Understanding of the financial services business