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21/04 Irene Susan Panicker
Executive Search at Randstad India Pvt Ltd

Views:818 Applications:166 Rec. Actions:Recruiter Actions:140

Head - Credit/Fraud Risk - BFSI (6-12 yrs) Premium

Bangalore/Pune Job Code: 916857

- 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 the 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

- 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

Women-friendly workplace:

Maternity and Paternity Benefits

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