Key engagement responsibilities would be:

- Model development of one or more of CCAR/DFAST/ IFRS 9 modelling and PPNR including Stress Testing, Balance Sheet forecasting, Deposit Modelling/PD/EAD/LGD, Loss Forecasting, Underwriting scorecard, Credit Scoring and other behavioural models

- Strong understanding of regulations and guidelines like IAS 39, IFRS9, SR 11-7 or other equivalent guidelines for model risk management.

- Advanced statistical and quantitative modeling skills (linear regression, logistic regression, ARIMA modelling, Markov Chain, Merton Model, CHAID and other data mining/predictive modelling skills)

- Model validation including conceptual soundness, critical assessment of the testing performed by the model developers to support the integrity and accuracy of the model implementation and its fit-for-purpose, designing to evaluate the model's predictive power and its robustness uncertainty through the development and use of alternative benchmark models.

- Experience in validation of pricing models across various classes viz., Equities, Credit, IR, FX, Commodities etc.,

- Excellence in probability theory, stochastic processes, partial differential equations, numerical analysis, option pricing theory (quant models for pricing and hedging derivatives). Sound knowledge of various simulation techniques like Monte Carlo Simulation etc.,

- Programming skills: SAS, R, Python. Expertise is one of these programming languages is a must. Programming ability in C++ is preferred.

- Responsible for key deliverables and engage with Partners/Directors to understand the project scope, business requirements and work with onshore and offshore teams to do successful delivery

- Managing multiple junior analysts in the execution of the quantitative analyses supporting each project-related deliverable

Job Requirements:
 
Mandatory Skills

Qualifications: Advanced degree in Math, Statistics, Economics or any other Analytical disciplines from IIT/ISI OR any other tier1 institute or B.Tech. + MBA in finance.

Additional certifications: Professional Certification such as FRM, CFA preferred

Total Experience: Prior experience of 6-8 years working in the Risk Management/Analytics division in large banks and/or tier 1 consulting organizations like Big 4 or captives of top tier banks is preferred- Key engagement responsibilities would be:

- Model development of one or more of CCAR/DFAST/ IFRS 9 modelling and PPNR including Stress Testing, Balance Sheet forecasting, Deposit Modelling/PD/EAD/LGD, Loss Forecasting, Underwriting scorecard, Credit Scoring and other behavioural models

- Strong understanding of regulations and guidelines like IAS 39, IFRS9, SR 11-7 or other equivalent guidelines for model risk management.

- Advanced statistical and quantitative modelling skills (linear regression, logistic regression, ARIMA modelling, Markov Chain, Merton Model, CHAID and other data mining/predictive modelling skills)

- Model validation including conceptual soundness, critical assessment of the testing performed by the model developers to support the integrity and accuracy of the model implementation and its fit-for-purpose, designing to evaluate the model's predictive power and its robustness uncertainty through the development and use of alternative benchmark models.

- Experience in validation of pricing models across various classes viz., Equities, Credit, IR, FX, Commodities etc.,

- Excellence in probability theory, stochastic processes, partial differential equations, numerical analysis, option pricing theory (quant models for pricing and hedging derivatives). Sound knowledge of various simulation techniques like Monte Carlo Simulation etc.,

- Programming skills: SAS, R, Python. Expertise is one of these programming languages is a must. Programming ability in C++ is preferred.

- Responsible for key deliverables and engage with Partners/Directors to understand the project scope, business requirements and work with onshore and offshore teams to do successful delivery

- Managing multiple junior analysts in the execution of the quantitative analyses supporting each project-related deliverable

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