Economic Capital Modelling
4 days ago
Our client is a global banking firm which provides industry-focused services for clients across geographies. We are currently looking for a skilled professional to join their Economic Capital Modelling team in Bengaluru.
Some of the key responsibilities will include:
- Support global and regional Economic Capital production processes, running and maintaining monthly simulations using tools such as Moody's Risk Frontier.
 - Assist in standardizing Economic Capital modelling parameters across regions, including PD / LGD correlations and systematic risk quantification.
 - Enhance model production processes through automation, peer code reviews, and best coding practices using R, Python, and Git / Bitbucket.
 - Collaborate with global stakeholders across regions to align on credit risk modelling frameworks and portfolio quality assessment.
 - Develop and update proprietary credit loss forecasting models (PD, LGD, EAD) and support stress testing aligned with macroeconomic scenarios.
 - Contribute to the design and implementation of credit risk appetite and concentration frameworks, linking them to business and capital strategies.
 
To be eligible for this role you will require:
- Bachelor's degree in a quantitative discipline with 5 – 7 years of experience in credit analytics, risk modelling, or related quantitative functions.
 - Hands-on experience with data analytics tools such as Python, R, and Pandas; experience managing production-level code using Git / Bitbucket.
 - Understanding of machine learning and statistical modelling techniques, including regression, multivariate analysis, and predictive analytics.
 - Exposure to credit portfolio management, concentration risk assessment, and risk appetite frameworks.
 - Knowledge of Monte Carlo simulations, credit loss forecasting, and stress testing techniques.
 - Excellent communication and stakeholder management skills.
 
Please contact Apoorva Sharma or email your cv directly in word format with Job ID: 15617 to
Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 7 business days, we regret to inform you that your application for this position was unsuccessful
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