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.
You will create, analyse and implement new quantitative risk models.
You will review old models, suggest and implement improvements.
You will present analysis and results to teams such as Front Office Quants, Market Risk Managers and discuss relevant model issues and solutions.
You will produce internal and external model documentation.
You will liaise with the Risk Model Validation team to discuss and understand reviews and implement recommendations where appropriate.
You will automate model related processes and tests covering all aspects of the model's behaviour and implementation.
You will collaborate and partner with senior management across the Risk Division, asset class risk managers and risk model validators to ensure successful regulatory interactions.
Open to discussing flexible/agile working.
Financial sector experience in a quantitative financial modelling role in an investment or large commercial bank, an industry association or hedge fund.
Relevant undergraduate degree in science, technology, mathematics, engineering or other logical discipline preferred.
Knowledge of quantitative finance and risk.
Understanding of computer programming and data manipulation, with development experience preferably in programming in C# & Python.
Demonstrated interest in learning about risk systems.
Effective communication skills - to communicate complex ideas to both quantitative and non-quantitative colleagues.
Ability to work well in a team and build relationships.
Ability to self-organise and prioritise, track and follow up on tasks where engagement with specialists in other functions to deliver is required.
Ability to produce high quality, accurate work, under pressure and to strict deadlines.
Willingness to question and challenge the way things are done and to come up with alternative approaches.
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: 5586377
About Credit Suisse -
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