2021 Quantitative Strategies Summer Institute (QSI) in New York
Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations. Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse. We Offer
Our Quantitative Summer Institute programs target hardworking people with an interest in finance and its applications. You'll either have or will be studying for a Ph.D or a master in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, Operations Research, Economics, Actuarial Science and Quantitative Finance. This program offers a rare training opportunity and valuable hands on experience in the areas of quantitative finance within Global Markets.
The QSI program is a combination of classroom sessions and quantitative project assignments. The QSI training modules are an in-house training program led by the Quantitative Strategies Group. The training covers topics such as the mathematics of financial derivatives, an introduction to key derivatives markets and pricing methods, as well as practical training on core models. These sessions, accompanied by practical assignments, give real world experience by using the same tools as those used by our modelers, traders, and structurers. You Offer
You will have completed your first year of a graduate degree program, studying to acquire a PhD in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, Operations Research, Statistics, Econometrics, Economics, or Quantitative Finance. In addition to an advanced quantitative degree, you should be able to demonstrate highly advanced mathematical modeling skills; experience with probability, statistics, linear algebra, signal processing, and optimization.
Programming experience and exposure to algorithms is generally desirable and crucial for certain areas of our businesses. It is not a requirement to have prior knowledge of finance; however, you should have a curiosity of and interest (coursework, work experience) in the financial markets.
Whatever your background, you’ll need to be:
- A critical problem solver with excellent analytical skills
- A hardworking self-starter who is able to envision long-term goals and ways to attain them
- An encouraging and adaptable team member who can build positive relationships
- A strong communicator who also recognizes the importance of listening
- Principled and committed to the highest standards of ethical behavior
Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. Credit Suisse complies with applicable federal, state, and local laws prohibiting discrimination in employment in every jurisdiction in which it maintains facilities. Subject to applicable law and regulatory requirements, Credit Suisse complies with state and local laws regarding considering for employment qualified individuals with criminal histories.