We are one of the leading global hedge funds, managing over $35B, with more than 2,800 employees and offices worldwide. Founded in 1989, we employ a global multi-strategy investment approach, opportunistically engaging in a broad array of trading and investing strategies, producing consistent performance for our investors for over 25 years. We are strongly committed to leveraging innovations in technology and data science to solve complex and challenging problems, putting us at the cutting edge in our field.
We are assembling a strong Quant Technology team to build our next generation of in-house analytics and trader support tools. This team will develop and maintain the in-house models and pricing libraries to support trading in Fixed Income, Commodities, Credit and FX derivatives, leveraging state-of-the-art mathematical modelling and financial engineering methods to provide our traders with the best analytics and support tools in the business.
Candidate will need to have strong mathematical education (probabilities, stochastic processes, statistics, calculous, etc) to understand, implement and develop state-of-the-art pricing models.
We generously reward hard work and outstanding performance, offering a unique opportunity for personal growth and building one’s career path in the lucrative and exciting world of global finance. This is a singular opportunity to join one of the top hedge funds in the world and enter the fast-growing world of FinTech, learning from the best in the field how it is done at the highest levels. No prior knowledge or experience is required. We offer a dynamic environment and a culture that nurtures learning and growth, with excellent international opportunities.
Work closely with Quants in Geneva, New York, London to develop fixedincome pricing and risk analytics for our in-house pricing library ? Work closely with Quants in Geneva, New York, London to develop pretrade analysis tools for Portf
Strong analytical and mathematical skills
Strong problem solving capabilities
B.A. with a strong quantitative training such as Math, Physics, Computer Science or Electrical Engineering with high grades, from one of the top universities (Hebrew university, Tel Aviv University, Weizmann institute or Technion).
1 - 2 years of Experience with C/C++, Java or Python
Small (0 - 50)