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We Offer As one of the world's leading financial services group, Credit Suisse provides its clients with investment banking, private banking and asset management services worldwide. Founded in 1856, CS has a long tradition of meeting the complex financial needs of a wide range of clients, offering advisory services, comprehensive solutions and innovative products to companies, institutional clients and high net worth private clients globally.
Cultural diversity is most essential to our success. As such, we employ people from more than 100 countries. Credit Suisse empowers employees to work openly and respectfully with each other and with clients, ultimately striving to deliver outstanding results while offering initiatives and programs to assist employees achieve a balanced work-life balance.
The Quantitative Investment Strategies (QIS) team, an investment boutique within Credit Suisse Asset Management, provides liquid alternative investment solutions to a broad range of clients. QIS forecasts risk and return across asset classes and a variety of risk premia and demonstrates Credit Suisse's fundamental understanding of hedge fund strategies. The team utilizes these forecasts in developing and refining proprietary trading and asset allocation strategies which are implemented in portfolios with various objectives, including absolute return, dynamic multi-asset balanced and hedge fund replication.
The chance to work in a dynamic trading and research environment
Primary responsibility will support the internal research process to generate new strategies and optimize existing allocation methodologies
Perform statistical and economic research to improve current investment strategies
Conduct research on various aspects of the implementation of investment strategies such as trading cost models, risk models, optimization, and portfolio construction
Explore new datasets and vendors
Develop tools to improve automated functionality for monitoring, portfolio construction and research processes
You Offer
Prior experience of developing quantitative strategies and signals for a QIS like business
Strong work ethic, highly organized, detail oriented, and motivated to drive projects
Strong written and verbal communication skills
Motivation to work and perform under time sensitive environment in a fast paced environment
Intellectual curiosity
Strong quantitative skills with an advanced degree (PhD or Masters) from a leading academic institution
