Our client is a math and technology company, which operates at the intersection of algorithmic trading, electronic market making and arbitrage. Their core expertise is in predicting short term price changes (from sub second to 10 minutes), automated positioning and fast execution across a wide range of electronic markets. The firm creates efficient and sophisticated systems which are thoughtfully constructed, performance-focused and responsive to changing conditions. Their predictive strategies trade autonomously across a wide range of exchanges throughout the world and target liquid contracts across asset classes covering (commodities, equities, fx, interest rates, etf's, options, futures and exchange traded derivatives).
Most of the team come from academic backgrounds having excelled in multiple disciplines (computer science and machine learning, statistics, and related quantitative subjects) with common denominators being academic excellence and a shared collegial spirit. The research scientists and software engineers work with a shared technological environment, which enables ideas and knowledge to be shared.
We are looking for an experienced quantitative researcher to join the deep learning team where the aim is to develop automated trading strategies and to solve problems centered around prediction and optimization for securities trading. Finance experience is not required. We are ideally targeting candidates with between 2-4 years of industry experience at a leading machine learning research group. (Such as Adobe, Apple, Amazon, Bloomsbury AI, Baidu, Cerebras, Comma.ai, Creative.ai, Curious AI Company, DeepScale.ai, Facebook AI Research, Geometric Intelligence/Uber, Gluru, Google, DeepMind, Graphcore, Improbable, Intel, Isocline Engineering, Jukedeck, Mapillary, MicroPSI, Microsoft Research, Mobileye, NNaisense, NVIDIA, OpenAI, Osaro, Prisma, Prowler.io, Scortex Twitter Cortex, Unbabel, Unity 3D)
If you would like to be considered for the position of Quantitative Researcher, or wish to discuss the role further then please leave your details below. Your resume will be held in confidence until you connect with a member of our team