CAIA's Career Center is an easy-to-use, comprehensive resource connecting job seekers with employers in the growing AI field. Use your knowledge and credibility to advance your career or build a talented team for your organization. Opportunities targeted to CAIA Charterholders are prioritized.
In order to search for jobs specifically for CAIA Charterholders or those pursuing the CAIA Charter please enter “CAIA” in the search panel.
This will enable you to search for CAIA specific roles globally.
We Offer Banking regulators, globally, require systemically important financial institutions, to demonstrate they can endure adverse economic environments through a process called 'Stress Testing'. The most salient of these tests, carried out by the Federal Reserve in the United States, is the "Comprehensive Capital Analysis and Review" (CCAR). From April 2017, Credit Suisse is required to make CCAR submissions, and will be also obligated to participate in other strategic stress testing programs (tests run by FINMA, ICAAP). For these reasons, we have a continued focus on building and enhancing our risk and capital management capabilities.
This role forms part of our Projections Modelling team that we are currently growing to work on mathematical and econometric models used for projecting how our businesses would perform under certain hypothetical stress conditions, over a multi-year horizon, to meet stress-testing requirements imposed on global financial institutions by different regulators. Projections Modelling team expands the capabilities of our well-established Quantitative Strategies (Quant Strats) Group.
The Quant Strats group is responsible for producing state-of-the-art pricing, trading and risk management models across a range of business for Credit Suisse. The group's mandate covers all major asset classes. Quant Strats operates globally with ca 160 members located in business centers in New York, London, Zurich, Sao Paulo, Hong Kong, and Singapore. There are now 7 employees in the Quant Strats group in India representing a large and growing part of the global franchise.
The Quant Strats group carries out a range of activities that include the creation of sophisticated mathematical models for the valuation and risk-management of complex derivatives, development of the analytics platform used to deliver models and driving the use of these models throughout the bank. The work varies from tactical responses to movements in global markets to longer term strategic projects to improve our pricing and risk management offerings.
You will build and maintain projections models (champions and challengers) used in stress testing programs (CCAR, FINMA)
You will develop tools to facilitate testing and performance monitoring of models
You will document model methodology and related processes
You will collaborate with Quant Strats internal and external teams on development, implementation, and review of projections models
You are open to discussing flexible/agile working.
You have a deep understanding of time-series analysis techniques, and more general econometric modeling methods
You are proficient in implementing statistical models in R
You hold a Master's degree in a quantitative discipline (Economics, Mathematics, Statistics, etc.)
You have excellent written skills and an ability to compose well-structured technical model methodology documentation
You have extraordinary analytical and verbal communication and presentation skills, ability to engage in concise, effective discussions
You are an excellent teammate
The following will be advantageous:
You have experience with one or more of the following tools: Excel, VBA, SAS, Stata, SPSS, Eviews, and/or Matlab
You have experience with Monte Carlo simulation methods
You have risk analysis experience within the financial industry
You hold PhD. in Economics, Applied Statistics, or other highly-empirical disciplines