1. Understand business practices and identify opportunities where data science can contribute to achieving strategic goals
2. Collaborate closely with sales and marketing leads, and technical partners to evaluate opportunities, and translate business opportunities into data solutions
3. Analyze data to validate approaches, propose solutions, provide guidance for credit underwriting, and design roadmaps for exploration and development
4. Drive global feature prioritization, process improvements, and tools requirements to improve product serviceability
5. Identifying innovative products and improving customer acquisition and analytics.
6. Driving Data based decision making at all levels.
7. Automation of business processes, driving optimization and efficiency.
8. Help in application of Machine learning and Artificial Intelligence.
Key Requirements:
a) Must have knowledge and Relevant Experience in Banking and Financial Services (in Asset Finance products, Home loan, Mortgages, Business Loans, etc) from Banks/ NBFC /Financial Institutions.
b) Bachelor's degree in a quantitative discipline (i.e. Operations Research, Statistics, Applied Mathematics, Engineering, Social Sciences) or equivalent practical experience
c) Track record of using complex/disparate data-sets to identify root causation, customer engagement/monetization challenges, developing/testing improvement hypotheses, and implementing effective counter measures/remediation.
d) Experience with manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validation of results.
e) Exception technical skills and use of data visualisation techniques.
f) Good financial analytical skills, communication skills.
Didn’t find the job appropriate? Report this Job