Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk.
You’re going to be part of headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals.
You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely pod-shop based, a rare find for an investment firm of this calibre.
You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required.
Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and the overall business – we can discuss your comp requirements in depth when you get in touch. No up-to-date CV required.
Quantitative Researcher at one of the most well-paid multi-strat Quant firms in London employer: Saragossa
As a leading name in wealth management, this company offers an exceptional work environment where you can engage in one of the most significant transformation programmes in the industry. With a focus on employee growth and development, you will have the opportunity to work on diverse projects that provide end-to-end exposure, all while collaborating with senior stakeholders in a dynamic and supportive culture. The long-term nature of the programme ensures that you are not just a temporary fix but a vital part of a transformative journey, making your contributions meaningful and rewarding.
