Location: New York,NY, USA
BQuant is Bloombergs cutting edge financial research and data science platform. With the tremendous growth of market data and the increasing sophistication of machine learning and quantitative methods, finance is quickly becoming a business where only the best capitalized firms can compete. BQuants mission is to change that, by empowering researchers and investment decision makers around the world with the sophisticated tools that are currently only available to the largest investment firms.
Our team is developing a suite of new, cloud-native products for systematic and quantamental investment workflows. We are designing these products to scale to a broad and diverse client base of hedge funds, asset managers and investment banks who need to run decades-long backtests of complex strategies that depend on traditional and cross-asset signals, alternative data and machine learning techniques. We seamlessly integrate with Bloombergs massive troves of high quality market data, and make use of a modern technology stack which includes both in-house solutions and open-source packages such as Pandas, PySpark, Scikit learn and PyTorch. We are looking for a senior quantitative developer with experience in building systems for quantitative investing, including things such as signal generation, portfolio construction, backtesting, and advanced analytics. This is a fantastic opportunity for an entrepreneurial individual to join a growing team, to apply open-source technology at scale, and to help shape a strategic product with industry-wide impact.
See what people are saying about BQuant:Bloomberg founder, Mike Bloomberg: Bloomberg CTO, Shawn Edwards: Bloomberg tech blog:
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