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.
A rare opportunity for a self-starter with state-of-the art programming skills and strong communication skills to join the Risk Engines team. Comprised of experienced developers and modelers, the team's experience ranges from GPU optimization and .NET IL generation through to P&L and risk analysis, giving plenty of scope for you to play to your strengths.
A dynamic environment incorporating a variety of programming languages including C++, C#/F# and Python, with opportunities to influence the future technology direction for the team.
A platform for you to be creative and build a career within a diverse and forward looking organization, and contribute your interpersonal skills to our team.
The opportunity to apply your knowledge and experience to build a best in class, cross asset risk management library. As well as front office risk calculations and scenarios, the team is responsible for library performance, key components in xVA, EPE, VaR and many other regulatory programs such as CCAR and FRTB.
Open to discussing flexible/agile working.
A trustworthy teammate with excellent analytical skills, who welcomes the opportunity to work in a global team.
Experience in .NET or C++ programming. Experience in functional programming or Python would be beneficial.
You welcome the opportunity to learn new skills.
Experience in the finance sector, and an understanding of financial modelling would be an advantage.
A good degree or equivalent in a mathematical, engineering or scientific subject.
Credit Suisse is committed to providing equal employment opportunities, regardless of ethnicity, nationality, gender, sexual orientation, gender identity, religion, age, civil partnership, marital or family status, pregnancy, disability or any other status that is protected as a matter of local law.
Internal Number: 6362348
About Credit Suisse
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