Build & Share Factor Scoring Dashboards using BQuant | Bloomberg Professional Services
Webinar

Build & Share Factor Scoring Dashboards Using Bquant

Python is a powerful language that can be used to transform and visualise the wealth of data available on the Bloomberg terminal. By leveraging the Python-based integrated BQuant platform and Bloomberg data, you can develop and share style-factor and ESG scoring models across your team and organisation.

During this webinar, learn how you can create your own scoring models on the terminal-integrated BQuant platform.  In this workshop we will cover:
  • Accessing BQL and the BQuant platform 
  • Screening and aggregating data using Bloomberg's data-analysis infrastructure
  • Building, visualising and sharing interactive scoring models

Speakers

Aveesh Acharya

ESG Market Specialist

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Aveesh Acharya is a Buyside Workflow Solutions Specialist at Bloomberg, advising clients on the most appropriate finance and technology solutions for their business needs. Prior to joining Bloomberg, Aveesh worked for over 12 years on equity derivatives structuring desks in tier 1 investment banks, primarily focusing on Quantitative Investment Strategies (QIS) and Sustainability (ESG) product development. He has gained a deep knowledge of portfolio construction, multi-asset risk premia, asset allocation and regulations covering institutional buyside clients. Aveesh holds a Bachelor of Engineering from Imperial College and an MBA from London Business School.

Peter Jacobs

Quantitative Developer/Researcher

Bloomberg L.P.

Having worked as a Quantitative Developer and Researcher for over 10 years in APAC and EMEA Peter currently oversees the BQuant community in continental Europe, Middle East and Africa.  Peter's focus areas are machine learning and artificial intelligence along with combined applications for portfolio factor investing and portfolio optimisation.

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