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13/02 Ankita Das
HR Manager at Blucognition

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bluCognition - Manager - Risk Analytics - BFSI Domain (5-7 yrs)

Bangalore/Pune Job Code: 892042

Summary :

- 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 clients 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 :

1. 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

2. Analyze large amounts of data to derive insights and create innovative risk solutions

3. Innovate with a focus on developing newer and better approaches using big data & machine learning solution

4. Develop, monitor and optimise underwriting, pricing and line management strategies

5. Online fraud mitigation strategies leveraging digital and partner data

6. Collection analytics to develop collection strategies and improve its effectiveness

7. Develop portfolio MIS and track the portfolio performance

8.Work closely with the clients risk team to deliver on their requirements

Requirements :

1. Minimum 5-year hand on experience in analytics, in BFSI Domain - risk analytics experience preferable

2. Understanding of the UK consumer credit bureau data is desirable, but not essential

3. Analytical rigor - ability to work in unstructured environments with clarity of thought

4. Ability to work with data - expertise and comfort with extracting, transforming and deriving insights from data

5. Excellent written and verbal communication skills, and be able to prepare presentations for executive level audience

Qualifications & Skills :

1. Masters or bachelors in computer science, Mathematics, Statistics or Engineering from a premier institution

2. 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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