We Offer The Risk Division is a highly visible, dynamic area of the firm where you can be an integral part of the decision-making that supports the bank's business. Our responsibilities range from Enterprise Risk management to risk and finance reporting, and regional risk teams covering the risk management for our entities. The Risk division's long-term success depends on our ability to achieve our vision and fulfil our mandate. Ultimately, this depends on the skills, experience and engagement of our employees. We offer a collaborative and entrepreneurial environment that offers direct contact with senior management and encourages leadership at all levels.
This role lies within the US Scenario Design team and is based in Raleigh. The team is responsible for creating scenarios that the firm uses to project earnings and assess potential financial impacts under adverse/stressful conditions. The team develops, implements, maintains, and executes "expansion" models that define relationships between macroeconomic and financial variables (e.g., Gross Domestic Product, Unemployment Rate, Interest Rates, Credit Spreads, Foreign Exchange Rates, etc.). Expansion models are run each a new time scenario analysis is performed.
You will be responsible for:
Developing expansion models using statistical analysis in partnership with subject matter experts.
Using the 'R' programming language to implement expansion models in an internal Credit Suisse system.
Documenting expansion models in alignment with internal Credit Suisse policies.
Collaborating with the model validation team to support their independent review of expansion models.
Running expansion models, performing controls, analyzing the modeled output, and explaining the mathematical basis of the modeled outputs, consolidating information, and preparing presentations.
Working with project managers to specify and test system improvements.
Credit Suisse maintains a Working Flexibility Policy, subject to the terms as set forth in the Credit Suisse United States Employment Handbook.
Master's degree or higher in a quantitative discipline (PhD a plus)
You have 1-3 years of work experience in financial services or quantitative role.
You have deep knowledge of statistical programming language (R preferred, Matlab, SAS, etc.).
You have the ability to work independently and as part of a team.
You have excellent communication skills in English (both verbal and written).
You have the ability to work under pressure with very tight deadlines, especially peak months in the year.
Internal Number: 6118683
About Credit Suisse -
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