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The Risk division is a strategic and dynamic partner for Credit Suisse businesses. We are responsible for modelling, measuring, monitoring and managing risks across multiple dimensions including credit, market, operational, reputational and liquidity. The Risk division acts as the guardian of the bank's risk appetite, and provides effective and independent risk oversight. For our employees we provide a collaborative and meritocratic environment with direct contact with senior management, and encourage leadership at all levels.
In risk management, financial models are crucial and ubiquitous in discerning patterns from the past and in forecasting results for the future. Regulators and senior management hold the risk quant community in high standards and demand that the models are industry-leading and that the limitations around models are well understood. To build up and grow our risk quant teams in Mumbai, we are offering roles in these two areas:
- Model Development : Development and maintenance of comprehensive and consistent risk models for credit risk, market risk, liquidity risk, enterprise risk and stress testing areas, meeting both internal management and regulatory requirements
- Model Validation : Independent validation across wide range of risk areas (market/ credit/ liquidity/ operational/ stress testing) or other business-impactful models - with a focus on effective challenge to modelling choices
You will develop or validate models, ensuring theoretical soundness by employing advanced mathematical and statistical techniques.
You will demonstrate independence in testing design and execution, results interpretation and presentation, and production of robust documentation.
Y ou will collaborate with colleagues across the globe, and will regularly engage with stakeholders such as business, senior management and regulators.
You Offer Credit Suisse is noted for the diversity of its employees, but seeks colleagues with a common set of abilities - highly motivated and creative individuals who have demonstrated academic achievement, and have the ability to work independently and as a member of a team. We'll be looking at your potential, your ability, your academic background and your extracurricular activities.
You have an advanced degree in a quantitative discipline, e.g. Finance, Mathematics, Physics, Economics, or Engineering. You have a strong foundation in Probability and Statistics.
You have a good understanding of financial and derivative products, and financial modelling.
You have strong communication skills; you are able to present complex topics to a diverse range of audiences.
You have good knowledge including programming experience of software applications such as C++, R, Matlab, Python.
You have self-motivation, discipline, and curiosity.