Job Location: Pune
Roles and Responsibilities
Responsibilities
Drive data backed decisioning for customer with respect to products, processes, offer strategies, channel selection, timing etc.
Deploy ML / Deep learning methodologies for solving problems
Create and fill existing variables through model variable inference methodologies
Create methodologies to utilize sparse data to predict known use cases for marketing and risk
Establish relationships between customer data, events etc. to trigger marketing, risk use cases
Create and manage complex inferred variables – like share of wallet, size of wallet, propensity to buy (when, where, how), propensity to repay etc.
Create solutions based on Geo data – negative area marking, household score
Create solutions for managing marketing properties on wallet, creating solutions to match marketing content to customers through various data tags
Create metrics to evaluate performance of the solutions created, processes optimized
Own execution and availability of solutions to teams for retrospective analysis, transaction recommendation / approval management, etc
Analyze data extensively and communicate findings to senior management
Required Qualifications and Experience
Graduate / Post-graduate with 5 to 7 years of experience in Data science and analytics.
Hands-on expertise in SQL/Python is must
Payment Domain Must
Experience in developing AI/ML solutions is must
Experience in handling large volume of data and generating meaningful insights and actionable
Experience in analytics projects in portfolio/risk management domain would be preferred
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