Webinar

Introducing Bquant Desktop

On Demand
Duration: 60 Minutes
Original Date: August 22, 2024

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Join us for an exclusive webinar where we shall introduce a new, enhanced version of BQuant Desktop, Bloomberg’s Python analytics platform included with the Bloomberg Anywhere Terminal. BQuant Desktop allows you to build, test and share data-driven investment analysis with colleagues across your firm.  In this session, we shall explore:

  • Benefits of building projects in BQuant Desktop: increased data depth for your analysis, zero installation footprint, sharing projects, etc 
  • Build data intensive workflows within the Terminal using Bloomberg’s industry-leading datasets 
  • Introduce new content for BQuant Desktop such as Earning Surprise analysis
  • Roadmap for future releases
  • Join the early adopter list

Speakers

James Jarvis

BQuant Desktop Product Manager

Bloomberg

James is the Product Manager of BQuant Desktop and the BQuant Enterprise asset class base packages. He is based in London where he joined Bloomberg as part of the BQuant Go-To-Market Product Management team. James previously chaired the Investment Committee at Trium Capital, responsible for multi-strategy portfolio construction and the provision of risk-advisory services to the in-house portfolio management teams. Prior to Trium, James worked in the portfolio management team at Paamco, a institutional Fund of Hedge Funds. He started his career as an IT Developer at RBS Global Banking & Markets before transitioning to FX trading with a focus on HFT. James has an MBA from the University of Chicago Booth School of Business. He is also a CFA charterholder and holds the CQF.

Ben Clarke

BQuant Customer Engagement Product Manager

Bloomberg

Ben Clarke heads the BQuant Customer Engagement and Go to Market Product team within the CTO group at Bloomberg. BQuant is Bloomberg’s end to end quantitative investment research platform built for quants and financial data scientists. Ben’s team are responsible for shaping the future direction of the product, client experience and learning. Previously he spent the last 8 years leading financial application development teams, working closely with Bloomberg Terminal subscribers to develop quantitative research in python, with a particular focus on signal generation, relative valuation analysis, asset allocation and research management workflows. He has also led teams building financial applications in Excel/ VBA. He joined Bloomberg 11 years ago and has worked in London and Hong Kong.

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