- Londres, Angleterre, Royaume-Uni
- CDI, Plein-temps
- Credit Suisse -
- 19 juin 18
Quantitative Strategies - QIS Modeler # 112949
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 fulfill 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.
The Quantitative Strategies Group at Credit Suisse is a modeling, analytics and trading risk group, whose mandate is to work as an integrated part of the trading team to develop and deliver: pricing models; risk analytics; trader tools for risk management, hedging, and relative value; management tools and techniques to optimize trading decisions across Global Markets' portfolio risks and capital. The group is organized along business lines and sits with the trading groups. The Quantitative Strategies Group reports to the Chief Risk officer.
Would you like to work for the Quantitative Strategies group who are looking for a modeler to work within the Quantitative Index Strategies (QIS) team? The team supports the QIS business which trades across Fixed Income and Equities asset classes. A focus of the role will be working on new algorithmic and quantitative investment strategies as well as driving the index framework across asset classes as a whole.
Open to discussing flexible/agile working.
- She/he will demonstrate previous experience in index strategies and Algos.
- Prior experience in QIS across assets a plus.
- You will have strong quantitative and statistical modeling skills.
- Commercial experience working with the trading desk.
- Exposure to and knowledge of financial markets.
- Ability to work both independently and as part of a team.
- Excellent written and verbal communication and presentation skills.
- Strong C/C++/.NET programming skills a plus.
- Advanced technical degree (Mathematics, Physics, Engineering, Computing etc.).