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Quantitative developer Jobs in Berkeley, CA
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Senior Quantitative Developer - BQuant
BloombergSan Francisco, CA, United StatesQuantitative Research Analyst
Charles SchwabSan Francisco, CA, US- Promoted
Software Products Quantitative UX Researcher
US Tech SolutionsSan Francisco, CA, United StatesUX Researcher, Quantitative
MetaSan Francisco, CA, United States- Promoted
Program Manager, Quantitative Research Operations
Robert HalfSan Francisco, CA, US- Promoted
Quantitative Volatility Researcher
Millennium Management LLCSan Francisco, CA, United States- Promoted
Transactional Quantitative Analyst
CooleySan Francisco, CA, United States- Promoted
Postdoctoral Fellow (Quantitative Modeling Group)
Lawrence Berkeley National LaboratoryBerkeley, CA, United States- Promoted
Senior Quantitative Modeler
Cash AppSan Francisco, CA, United StatesUX Researcher, Quantitative
MediabistroSan Francisco, CA, United States- Promoted
Quantitative Developer
Radley JamesSan Francisco, CA, United States- Promoted
Quantitative Developer (Python)
Zenith SearchAlameda, CA, United StatesQuantitative Analyst
Merit ServicesCAQuantitative Developer
Point72San Francisco- Promoted
Quantitative Trader
Avenir GroupSan Francisco, CA, United States- Promoted
UX Researcher, Quantitative
METASan Francisco, CA, United StatesSenior Quantitative Developer - BQuant
BloombergSan Francisco, CA, United States- Full-time
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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