Founder/Chief Consultant at Credence HR Services
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AVP/VP - Operational Risk Modeling - BFSI (7-14 yrs)
We have an urgent opening for our client in Bangalore for the captioned role.
The primary functions are to develop Ops Risk models for Basel and CCAR, perform and oversee the detailed validation of Risk models, Monitoring and back testing, Documentation etc.
Responsible for contributing to the high quality risk analytics as identified within the model risk management framework for the Corporation.
Capable of resolving complex issues in model validation and model development by measuring risk, allocation of capital for performance measurement, or other aspects of risk measurement.
This is an individual contributor role with Ops Risk Analytics .
Developing Operational Risk models using Advanced Modeling Approach (AMA) using Basel guidelines,
Allocation model for internal capital calculation for different business units
Supporting the execution and model monitoring activities for all operational risk and allocation models
Provides technical/theoretical expertise to resolve model risk issues and enhance overall model risk management framework.
Ensures that capital modeling and allocation approaches meet both internal corporate needs and regulatory requirements related to prevailing regulatory guidance.
Responsible for resolving complex issues in risk quantification, regulatory reporting and external financial statements and other aspects of risk measurement.
Leads initiatives for improvements in risk measurement processes and reports.
Responsible for interaction with different committees and/or management Responsible for interaction with different committees and/or management
PhD / M. Sc (Financial Engineering / Statistics / Mathematics) or any relevant quant discipline / MBA in finance from top B-schools CFA/FRM/CQF candidates preferred.
Skills Required : Strong experience in Extreme value theory, Poisson Distribution, Log-Normal distribution, Weibull distribution, Monte Carlo simulation, Correlation analysis and nonlinear regression techniques
Excellent oral and written communication skills are required.
Strong conceptual and technical knowledge of risk concepts and quantitative modeling techniques. Functional / Industry Knowledge is required. Analytical and problem solving skills are required. Strong Excel and VBA skills are required.
Technical skills / systems knowledge (e.g. SAS, Python, and R) is desirable. R will be preferred Experience in Basel and CCAR models development/ validation desirable. Financial Regulation knowledge (CCAR, DFAST, BASEL II/ III) will be desirable.
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