Job Detail

You will be part of the team responsible for credit and fraud risk management across the customer lifecycle, covering acquisition, underwriting, customer management and collections 
Responsibility includes development of credit and fraud risk strategies through best-in-class analytics and data science, for the client’s consumer lending portfolio in the UK. We are looking for candidates with hands on experience in analytics, using tools like SAS/SQL, R, Python, Hive, Pyspark, SQL, etc. 
 

Roles & Responsibilities 

 Leverage all the traditional and alternate data sources like credit bureau, digital data, partner data, social media and banking data to develop risk mitigation strategies 
Analyze large amounts of data to derive insights and create innovative risk solutions 
Innovate with a focus on developing newer and better approaches using big data & machine learning solution 
Develop, monitor, and optimize underwriting, pricing and line management strategies 
Online fraud mitigation strategies leveraging digital and partner data 
Collection analytics to develop collection strategies and improve its effectiveness 
Develop portfolio MIS and track the portfolio performance 
Work closely with the client’s risk team to deliver on their requirements 

Requirements 

Minimum 5-year hand on experience in analytics, in BFSI Domain – risk analytics experience preferable 
Understanding of the UK consumer credit bureau data is desirable, but not essential 
Analytical rigor – ability to work in unstructured environments with clarity of thought 
Ability to work with data – expertise and comfort with extracting, transforming and deriving insights from data 
Excellent written and verbal communication skills, and be able to prepare presentations for executive level audience

Qualifications & Skills 

Masters or bachelor’s in computer science, Mathematics, Statistics or Engineering from a premier institution
Experience with analytical / statistical tools like SAS, SQL, Knowledge Studio or Python is a must