BQuant is Bloomberg’s cutting edge quantitative research and development platform. With the tremendous growth of 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. BQuant’s mission is to change that, by bringing these technologies to quantitative traders and researchers around the world at institutions of every size.
Bloomberg is expanding BQuant to meet client demand, and we are looking for quantitative engineers to work in the areas of signal research and portfolio management. This is an opportunity to work closely with our partners in Product and Quant Research to develop analytics and statistical tools that we will launch for clients to integrate into their strategies. We are looking for candidates passionate about building modeling tools in a scalable and performant architecture. BQuant’s team culture emphasizes collaboration, curiosity, and ownership to build software and systems to change the financial industry. 

See what people are saying about BQuant:

•  Mike Bloomberg:

https://www.linkedin.com/posts/mikebloomberg_starting-today-were-making-it-even-easier-activity-6849087317139853312-CAOZ

•  Bloomberg’s CTO, Shawn Edwards:

https://thestack.technology/bloomberg-cto-shawn-edwards-interview/

•  Tech at Bloomberg:

https://www.techatbloomberg.com/blog/bquant-behind-the-scenes-how-bloomberg-leveled-the-playing-field-for-quantitative-analysis-in-finance/

We’ll trust you to:

•  Design and deliver quantitative tools and functions in close collaboration with quant research teams and our financial product team

•  Understand financial quant workflows and client use cases for the product, and turn these into solutions

•  Own your solution through the software development lifecycle from feature idea to production deployment

You’ll need to have:

•  Prior experience with Python, C++, Java, or similar

•  2+ years of experience in quantitative analysis techniques including statistical analysis and machine learning over diverse data sources

•  Experience developing and maintaining production systems

•  Ability to understand client needs and build quantitative tools to match them

•  BA, BS, MS, PhD in Computer Science, Statistics, Engineering or Quantitative Finance, or relevant experience

We’d love to see:

•  Knowledge of software best practices

•  Comfort developing new methodologies from research

Bloomberg is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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