Risk Analytics - Model Development
Team: Risk Analytics
Location: Gurugram
Commitment: Permanent - Full Time
Workplace Type: onsite
Responsibilities
- Developing, validating, monitoring and implementing credit risk models – PD /LGD /EAD /IFRS9 /Stress Testing – of the bank considering both qualitative and quantitative factors; and analysing, explaining and documenting models and results in detail.
- Carrying out other analysis such as periodic provisioning and stress testing exercises.
- Researching and suggesting quantitative and qualitative techniques for model enhancements.
- Building and enhancing governance framework as per regulatory requirements.
- Coding in R/Python to develop and enhance models, perform analysis, and automate processes.
- Liaising with multiple teams and various business units across the bank for different risk management activities.
- Communicating with stakeholders, internal audit, model validation and other parties, and responding to their requests timely and accurately.
Required Experience:
- 3-6 years of relevant experience at a financial institution or a consulting firm, preferably in a Quant/Data Science role in a data-rich environment
- Preferably Master’s degree in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, or Finance, or equivalent
- Experienced in developing/validating credit risk models
- Experienced in provisioning as per IFRS9 implementation for banks
- Understanding of risk management concepts like Stress testing, regulatory frameworks for banks
- Proficiency in programming and Advanced Statistical Techniques– R/Python/Advanced excel
- Analytical thinking, quantitative abilities and problem-solving skills
- Attention to detail
- Ability to work well under pressure in a fast-paced team-oriented environment
- Strong communication skills; ability to present complex and technical issues clearly, both verbally and in writing
- FRM/CFA certification or equivalent is a plus
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