• Competitive
  • Londres, Angleterre, Royaume-Uni
  • CDI, Plein-temps
  • Credit Suisse -
  • 24 juin 18

Quantitative Strategies Equity Derivatives – Modeler # 109056

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 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.

Area Overview

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 desks. The Quantitative Strategies Group reports to the Chief Risk officer.


The Quantitative Strategies group is looking for a modeler to work within the Equity Derivatives (EqD) team. The role will focus on model development and quantitative support for the Equity Derivatives business within Solutions. A focus will be model development for the management of equity derivatives and equity hybrids.

Open to discussing flexible/agile working.

You Offer
  • She/he will have prior experience in equity derivative modeling.
  • Prior experience in equity hybrid models a plus.
  • You will have strong quantitative and statistical modeling skills.
  • Proven ability to work 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++ programming skills a plus.
  • Advanced technical degree (Mathematics, Physics, Engineering, Computing etc).

Londres, Angleterre, Royaume-Uni Londres Angleterre GB