Job Location: Pune

Technical capability :

• Hands-on experience with SQL (or similarly structured on the non-structured database)- (Data Extraction, Joints, Window functions, Subquery)
• Hands-on experience with Tableau or any reporting tool (Quick sight is used)
• Experience in python (R Python) will be an added advantage
• Pandas- library used for transformation of tabular data (Intermediate experience)

ROLE & RESPONSIBILITIES:

• The successful candidate will be responsible for developing, analyzing, and executing ideas and initiatives.
• Use sophisticated analytical techniques to solve a business problem specific towards Collections & Recovery and build collections strategy around the portfolio.
• To develop customer risk strategies, segmentation and profiles, using data science based tools and techniques for driving collections & recovery management.
• To work closely with risk and underwriting team for improvement in collections and closing the feedback loop on the delinquent cases.
• Design modules for advanced score card development and analytical tools and understand the impact of deployed models

Preference and Experience :

2+ years of experience in an analytical capacity required in lending domain

• Ability to work with a large amount of data (size in TB- s)
• Extensive coursework/experience in quantitative analysis & statistical modelling in consumer credit risk will be a plus.
• Exposure of consumer credit risk management, Credit Profit & Loss Drivers preferred
• Prior experience in banking or NBFC (credit cards or personal loan) will be a plus
• Detailed-oriented, high level of intellectual curiosity and strong sense of ownership.
• Demonstrated ability to multi-task effectively and work against tight deadlines
• Good business acumen and the ability to connect analytics with business decisions
• Good Problem solving and Structured thinking/ Data interpretation

Academic qualifications:

Degree in Statistics, Physics, Applied Mathematics, Operations Research, Econometrics, Engineering, or another quantitative discipline

Preferred is Tier-1 / Tier-2 colleges

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