Enabling retail lending businesses to achieve growth outcomes via analytical strategy.
Develop financial frameworks such as valuation models-life time valuations, pricing strategy, budgeting, etc.
Preparing product valuations for new launches.
Ability to understand business P& L components and various drivers such as COF, NIM, provisioning, etc.
Define data requirements for creating a model and understanding the business problem.
Clean, aggregate, analyze, interpret data, and carry out quality analysis of it.
Set up data for predictive/prescriptive analysis.
Development of statistical/econometric models.
Working along with the team members.
Looking for insight and creating a presentation to demonstrate these insights.
Requirements
Masters in Economics, Statistics, Mathematics, Operational Research, and Business Administration. CA, ICWA, or Engineering graduate from a reputed college.
Other graduates from reputed colleges with financial certifications such as CFA level II/III, FRM, etc.
Hands-on experience in Analytics Tools - R/Python/SQL/SAS.
Experience in financial modeling and framework - DCF, NPV, RARAOC, and valuation models.
Good understanding of P& L drivers such as cost, revenue streams, COF, and NIM.
Data-driven business insights - Data Preparation, Data Exploration, financial modeling, and strategy implementation.
4-8 years of experience in analytics preferably in the Financial Services (Retail lending) industry, but not mandatory.
Strong expertise in financial modeling.
Conversant in Python/SQL.
Expertise - we strive for a deeper understanding of our domain.
Innovation - we aspire to do things creatively Action.
Entrepreneurship - we are empowered to act decisively and create value.
Integrity - we are consistent in our thoughts, speech, and actions Care.
Trusteeship - we protect the interests of our customers, community, employees, partners, and shareholders.
Humility - we aspire to be the best, yet strive to be humble.