ROLE & RESPONSIBILITIES :
The successful candidate will be responsible for developing, analysing and executing ideas and initiatives designed to achieve business growth and loss mitigation goals.
The core responsibilities will include:
- Independently manage development and implementation of effective risk management strategies that help mitigate credit losses
- Apply innovative analytical techniques to customer and transaction data to build risk mitigation strategies and processes
- Develop next-gen modeling capabilities in the team to deliver best in class predictive modeling solutions
- Work on modeling projects/unstructured problems, look at providing solutions that go beyond traditional methods - Using advanced machine learning technologies and new data sources
- Liaising internally with risk managers, including explaining model outputs, performing ad-hoc analysis and answering technical or background questions on the models and requirements.
- End to End development of state of the art stress testing models (PD, LGD, EADs). Analyzing tests and performance using analytical tools and decision tree (CHAID/CART)
- Evaluating effectiveness of current policies and strategies
- To define, analyze, implement, and monitor credit risk strategies. Must have capability to clearly communicate analyses
- Must be able to effectively provide updates and communicate key initiatives to senior management
- Must have hands on expertise in developing and managing scoring models
Skills :
- Ability to work with large amount of data (size in TBs)
- Extensive coursework / experience in quantitative analysis & statistical modeling in consumer credit risk will be a plus.
- Understanding of consumer credit risk management, Credit Profit & Loss Drivers preferred
- Excellent written and verbal communication skills, and be able to prepare presentations for executive level audience and familiarity with Power Point, Excel, Visual Basic
- 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
Technical capability:
- Hands on experience with SQL (or similar structured on non-structured database)
- Hands on experience with Tableau (or similar tools)
- Experience on python (or similar tools) will be an added advantage
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