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Job Id: 628
Job Title: Risk Analytics
Industry: BPO & KPO
Functional Area: Analytics & Business Intelligence
Salary: 10 Lac - 15 Lac
Job Location: Delhi / NCR
About the Client

Company is an analytics-driven Fin Tech company intensely focused on serving the global under-banked consumer. Its mission is to provide the most innovative and trustworthy products and services to this segment of society that is traditionally lack options financially. It leverages world-class analytics, software development, ecommerce know-how and lending operations to build and deliver the most compelling mobile and on-line credit solutions for the under banked. It perates in both the UK market, with head-quarters in San Diego and offices in London, Chennai and Noida.

Job Description

• Key responsibilities include
o Building models to predict risk and other key metrics
o Coming up with data driven solutions to control risk
o Finding opportunities to acquire more customers by modifying/optimizing existing rules
o Doing periodic upgrades of the underwriting strategy based on business requirements
o Evaluating 3rd party solutions for predicting/controlling risk of the portfolio
o Running periodic controlled tests to optimize underwriting
o 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.

Desired Candidate Profile

• 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, Naïve 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

• 3 - 5 years of experience in Financial Services/Analytics Industry/ecommerce
• Understanding of the financial services business

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