Master's Degree is Must  We Offer :  - Validation projects investigate all aspects of the models, covering their assumptions regarding the behaviour of different asset classes, performance over different time scales, treatment of different products and risk types and their aggregation and use in the risk capital calculations.  - Participation in working groups addressing modelling issues and the model control environment  - Investigating key aspects of each model under review: the choice of model, its correct implementation and optimal use of the model  - Developing independent modelling for comparison with that under validation  - Reviewing the issues, assumptions and limitations of both the proposed and independent modelling approaches  - Backtesting alternative models to evaluate and compare their performance using historical simulations  - Reviewing findings with colleagues in different groups including model developers, risk managers and traders  - Developing appropriate controls to mitigate for model risk and residual uncertainty  - Documenting the testing performed: theoretical background, modelling issues, assumptions and limitations, testing performed, results and control implications  - In conducting the reviews the analysts perform some computationally intensive work, including:   - Developing, maintaining and running test tools to investigate different aspects of the model  - Setting up and running historical backtesting scenarios  - Generating, extracting and structuring risk and value data from Front Office systems  Implementing numerical algorithms and automating testing processes in VBA and C++  You Offer :  - Candidates for the analyst role in the Model Risk Management team are expected to have a first degree in mathematics, physics or engineering, and probably a Masters or PhD in one of those areas or finance.   - Experience in data management and analysis or in Front Office IT would be an advantage.  - Hands-on experience of risk and capital modeling, derivatives pricing and broader financial modeling is desirable, but regardless of experience all candidates should be able to demonstrate an understanding of capital modeling, financial and derivative products and mathematics, from private study if they have not worked in the financial sector. Programming experience is advantageous.  - Candidates should be self-motivated, disciplined, task focused, able to structure their work and have a proven record of delivering high quality results to strict deadlines.  - As a part of Model Risk Management the candidate will get exposure to modelling in a wide variety of risk areas such as credit risk, market risk, operational risk etc.   - The current heightened regulatory focus on these areas and the team's broader model risk scopes also guarantees a significant level of interest and visibility to the business and senior management.   - The diversity of projects available within this role offers the chance for team members to gain a broad range of risk model experience, but also to specialize if preferred.   - Opportunities to present results to stakeholders as well as peers are numerous, allowing the candidate to widen and develop their network and reputation.

Mumbai

Credit Suisse - Model Validation Analyst 

Credit Suisse - Model Validation Analyst  ,Job Description for Credit Suisse - Model Validation Analyst  in Credit Suisse in  Mumbai for (1-3) years of experience. Apply Now!

Job Description for Credit Suisse - Model Validation Analyst  in Credit Suisse in  Mumbai for (1-3) years of experience. Apply Now!