Job Role:

The candidate will be responsible for developing, analysing & executing ideas and initiatives designed to achieve business growth and loss mitigation goals, the core responsibilities will include;

- Use sophisticated analytical techniques to solve business problems specific to collections & recovery, Build collections strategy around the portfolio.

- To develop customer risk and underwriting team for improvement in collection and closing the feedback loop on the delinquent cases.

- Coordinate and collaborate with policy team to ensure flawless execution of policy.

- Communicate policy changes and test recommendations, program approvals, MIS & performance trends with stakeholders and senior management.

- Design modules for advance score card development and analytical tools and understand the impact of deployed models

- Participate in the implementation of sophisticated analytical models in live operating environment within the organisation.

- Create and publish timely collections control reports to support collections to achieve their targets for the portfolio across the products.

Required Skills:

- 3-5 years of work experience in the relevant field

- Ability to work with large set of data

- Extensive coursework / experience in quantitative analysis and statistical modelling in consumer credit risk will be a plus

- Understanding of consumer credit risk management, credit profit & loss drivers preferred

- Excellent written & verbal communication skills, to be able to prepare presentations for executive level audience and familiarity with power point, excels & visual basics

- Prior experience in BFSI or NBFC (Personal loan) will be a plus

- Demonstrate ability to multi-task effectively & work against tight deadlines

- Good business acumen & the ability to connect analytics with business decisions

Technical Capabilities:

- Hands on experience with SQL (or similar structured and non structured database)

- Hands on experience on tableau (or similar tools)

- Experience in Python (or similar tools) will be an added advantage

Academic Qualification:

- Degree is statics, Physics and applied mathematics, Operations Research, Econometrics, Engineering or another quantitative discipline

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