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Responsibilities:
Analyse large datasets to identify patterns in delinquent behaviour and segment borrowers by risk level.
Develop and implement champion-challenger (A/B) testing for Collections and Credit Risk strategies.
Propose data-driven product changes to improve customer experience and company profitability.
Partner with product and engineering teams to implement your solution into production.
Monitor the Roll Rate (the movement of customers from one delinquency bucket to the next) and provide weekly reports.
Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts.
Ensure all lending activities conform to regulatory guidelines and internal audit findings.
Requirements:
Fluency in SQL and R/Python.
Previous experience in analytics and/or quantitative modelling, using large datasets.
Experience analysing, visualising, and communicating impactful insights to management, investors and/or auditors.
Strong strategic thinking and problem-solving skills.
2-7 years relevant experience in Credit Risk & Collections Analytics, preferably in India Fintech industry.
Enthusiasm for working across cultures, functions, and time zones.
Experience
4-8 yrs
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