Economic Capital Modelling

2 days ago

Bengaluru, Karnataka, India The Edge Asia Full time ₹ 15,00,000 - ₹ 25,00,000 per year
Job Description

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.

Please contact Apoorva Sharma or email your cv directly in word format with Job ID: 15617 to riskandquants-

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.

Key Responsibilities
  • Support global and regional Economic Capital production processes, running and maintaining monthly simulations using tools such as Moodys 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.
Role Requirements
  • Bachelors 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.

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