Data Science Enabled Portfolio Management Solution

Quantifi's data science platform provides clients with the ability to do complex data analysis and flexible reporting using Python, Jupyter Notebooks and other popular data science tools. Integrated with Quantifi’s proven portfolio management solution, users benefit from complex client-driven analysis, strategy back-testing, ad-hoc portfolio what-if analysis - all using mixed data sets from diverse sources.

Quantifi’s data science platform provides clients with the ability to do complex data analysis and flexible reporting using Python, Jupyter Notebooks and other popular data science tools. Integrated with Quantifi’s proven portfolio management solution, users benefit from complex client-driven analysis, strategy back-testing, ad-hoc portfolio what-if analysis – all using mixed data sets from diverse sources.

“Quantifi’s Data Science Platform integrates Quantifi’s cross-asset analytics and leverages best of breed big data and Data Science tools to analyse and visualise results.”

insights

Innovative thinking

News

Quantifi Releases Latest Software Powered by Data Science

Version 18 includes 304 new features and enhancements, providing superior performance, new BI reporting capabilities and includes the next-generation of risk analytics powered by data science. Version 18 also introduces features to help clients accelerate their IBOR transition programme with confidence.

Blog

What are the Use Cases for Data Science in the Financial Markets?

This blog post explores how Quantifi is leveraging data science and summarises the key trends shaping data science practices within a trading and risk management context.

Blog

How is Data Science Transforming Banking and Capital Markets?

Part 1 of this blog series explores data science in the context of risk management technology and operations. This blog reflects on how the financial environment, and the broader landscape, has changed over the last decade and the market trends that are driving the rise in data science approaches.

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