Quant Risk Model Analyst - BFSI

One of our leading clients in Bangalore is looking for Quant Risk role who has strong experience in below.

Experience : 1 - 10 Years.

Qualification : PhD / M. Sc (Financial Engineering / Statistics / Mathematics) / MBA in finance from top B-schools

- CFA/FRM/CQF candidates preferred.

Location : Bangalore

Major duties involve :

- Developing PD/LGD models and Operational Risk models, Validating PD/LGD models, Asset management models, Market Risk models, PPNR models

- Provides technical/theoretical expertise to resolve model risk issues and enhance overall model risk management framework. Works with other risk teams to ensure that risk management policies/processes and quantitative modeling approaches are consistent:

- Ensures that capital modeling and allocation approaches meet both internal corporate needs and regulatory requirements related to prevailing regulatory guidance.

- Works with project management team to track development efforts and resolve issues.

- Operates independently; has in-depth knowledge of business unit / function

- Acts as subject area expert, provides comprehensive, in-depth consulting and leadership to team and partners at a high technical level

- Responsible for resolving complex issues in risk quantification, regulatory reporting and external financial statements and other aspects of risk measurement. Leads initiatives for improvements of risk measurement processes and reports.

Knowledge/Skills :

- Excellent oral and written communication skills are required.

- Should have strong knowledge in Statistics acquired academically or through Work experience

- 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 skills are required.

- Technical skills / systems knowledge (e.g. SAS, Matlab, R) is desirable.

- Experience in CCAR models development/ validation desirable.

- Financial Regulation knowledge (Dodd Frank, BASEL III) will be desirable.