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Head - Analytics - FinTech (7-12 yrs)
Industry : Banking / Financial Services / Broking
Category : Consulting
Skills : Analytics, Data Science, Machine Learning
Job Description : A global leader in digital fintech services is looking for Head - Analytics for the creation of new and cutting-edge data sciences capabilities
Client Details :
Our Client is a financial services technology-based firm with Its headquarter in the US. They have a network of offices across Asia-pacific, Australia including an office in Delhi NCR, India. It provides a platform for lenders and small businesses to connect and enable businesses to get loans with fast approval process
Description :
The key responsibilities of Head - Analytics would be to :
- Develop cutting-edge Data Science and Analytics division to support the clientele around the world
- Create state of the art Data Science capabilities for the business to enable informed decision making
- Guide the company towards becoming a data driven organisation
- Design and launch innovative and complex analytic models, utilising a blend of contemporary and traditional data mining technique
Profile :
As a successful candidate for Head - Analytics Role, you should have :
- Quality Experience of 7-12 years in the domain
- Experience of managing mid-large sized teams, along with creating teams from scratch
- Operational understanding of classical regression, statistical methods like factor analysis, Clustering and hypothesis testing and modern machine learning methods
- Credit Risk and Data Science Experience with Financial Services/ Fintech/ BFSI companies
- Previously delivered high quality projects within stipulated timelines
- Worked with developers for data product development and automation within global banks/ NBFCs
- Knowledge of R, Python, SAS, VBA
- Client handling experience
Job Offer :
An opportunity to lead the Data Sciences team with a leading fintech firm based out of Delhi NCR
For a confidential discussion about this role please contact Vipul Bhatnagar on +91 124 452 5444
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
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