Company - Leading Fintech / NBFC into Peer-2-Peer Lending space
Data Analytics Head
- Opportunity to work with Faircent - A leader in Peer-2-Peer Lending Space
- To be in a leadership position and create new Data Science Capabilities
Responsibilities
- Develop solutions that have a high impact on credit, financial and customer related metrics
- Responsible for building of Develop metrics and frameworks to evaluate the functioning of all parts of NBFC - marketing/sourcing, product, underwriting operations, collections, portfolio
- Provide technical leadership and subject matter expertise
- Display strong storytelling and articulation skills to convert analytical output into clear, concise and persuasive insights and recommendations for technical and non-technical audience
- Work on unstructured problems, provide solutions that go beyond traditional methods - using advanced technologies and new data sources
- Working with leadership team to define the agenda for next generation analytics, using knowledge of the latest industry practices
- Developing strong capabilities of the team in Big Data, Machine Learning and Pattern mining
- Create state of the art Data Science capabilities for the business to enable informed decision making
Desired profile:
- Quality Experience of 10+ years in the domain
- 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/ NBFC/BFSI companies
- Expert with Data warehouse architectures, data modelling, and data processing using distributed computing solutions
- Experience in all facets of software development life cycle like analysis, design, development, data conversion
- Previously delivered high quality projects within stipulated timelines
- Worked with developers for data product development and automation within banks/ NBFCs
- Proficiency in relevant analytic programming skills (R, Python, Excel) and willingness to work closely with large data sets and get into the details with business processes
- Client handling experience
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