Skill: risk management , wealth manager , investment banking , asset management , model validation , econometrics , market risk , risk; Exp: 0-3 years; Model Risk Management- Validation # 117955 India-Mumbai-Mumbai | Full-time | Corporate Functions | Job ID 117955 Risk Management English Credit Suisse is a leading global wealth manager with strong investment banking and asset management capabilities. Founded in 1856, Credit Suisse has expanded to be a global force employing over 45,000 people in 50 countries. With new leadership, a new strategy and a streamlined global organization, we are set for growth. We partner across businesses, divisions and regions to create innovative solutions to meet the needs of our clientsand to help our employees grow. It is a high priority for us to continually invest in our employees by providing ongoing opportunities for training, networking and mobility. Join us and let’s shape the future of Credit Suisse together. We Offer The Model Validation team reports to the Chief Risk Officer and the main responsibilities of this role will focus on risk methodology projects. Specifically, the responsibilities will include Validate and backtest equities VaR models to ensure they remain fit for purpose and make improvements where necessary; Collaborate closely with the Risk Methodologies team and Market Risk on the validation of VaR methodology projects to ensure issues are appropriately addressed and escalated; Assess the appropriateness of historical data used in calculations; Ensure that all risk models and validation are adequately documented for both internal and external (e.g. regulatory) purposes; Evaluate the impact of new models and capital rules; The VaR models are used for both internal risk management and calculating regulatory capital for market risk. The models are used globally across all legal entities and regulators. You Offer The candidate should have a first degree in engineering, mathematics, physics, econometrics or statistics, and further studies (Ph.D / MSc.) in one of those areas or in finance. A strong mathematical background in statistics, time series analysis and probability theory is essential. The role would suit a candidate with previous experience in quantitative risk management within an investment bank validating or developing VaR models, with a good understanding of products traded and risks generated by trading strategies. It is critical that the candidate has good programming skills and able to communicate results clearly and precisely to senior management.
Function: Finance / Insurance Services