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A technology-driven research firm in Cambridge is seeking an Experienced Quantitative Researcher to build and fit predictive models using deep learning. The ideal candidate will have a strong background in C++ and Python, along with a solid grasp of data structures and algorithms. This role offers competitive compensation and benefits, including paid vacation and medical insurance, in a casual and collaborative work environment.
Cambridge, England, United Kingdom
Quantbox is a technology‑driven proprietary trading firm that specializes in systematic alpha research and electronic market‑making on various exchanges. We trade across a multitude of asset classes and trading venues with significant market share and are looking for a Senior Quantitative Researcher to join us in our Cambridge office to help in building our predictive models.
As an experienced researcher you’ll have practical experience building, researching and fitting deep learning models. You might have a track record of publishing research or working on novel techniques in a more proprietary domain but in either case you’ll be developing the fitting techniques as opposed to just using them. Your work at Quantbox will involve applying deep learning techniques to complex and noisy datasets, and developing new methodologies appropriate to our problem domain. Financial markets experience is optional for this role.
Your deep learning experience is complimented by specific proficiency in the following areas:
Quantbox is a place of friends and colleagues, where people convert their passion into action. We believe in togetherness that brings out the best in ourselves and our Company. Our open and casual work culture gives you the space to innovate and deliver. Everyone on the team is approachable.
Employee remuneration packages are reviewed regularly to ensure that they remain competitive. In recognition of our employees’ contributions and performance, for full time permanent roles we provide:
Quantbox is an equal opportunities employer.
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.