Technology: Data Science

Data Science Enabled Solution

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.

Data has a huge influence on the financial services industry and today, the volumes of data accumulated are so large that traditional evaluation and analysis methods are no longer suitable. 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.

 

Demonstrate alpha and support tailored investment solutions

Demonstrate alpha and support tailored investment solutions

Scalable technology to support future business growth

Improve investment decisions with machine learning and AI

Proven track record of successful implementations

Lower operational costs with an integrated self-service architecture


 


Key Features

Applying the latest technology innovations to improve investment decisions

 

Complex data-driven analysis

Complex data-driven analysis

Leverage novel optimisation techniques
and multiple data sources to make better investment decisions.
 
  Modern cloud-native technology

Modern cloud-native technology

Provides clients with an environment that
optimises operations for greater flexibility,
scalability and agility.
Combine diverse data sources

Combine diverse data sources

Easily mix diverse data sources for complex reporting, including structured and
unstructured data.
 
 

Scalable Performance

Scalable performance

Processing capabilities can easily scale up or
down to accommodate a client's demands
and business needs.
Flexible self-serve reporting

Flexible self-serve reporting

BI and visualisation which includes use of third-party tools such as Power BI and Tableau.
 

Complex ad-hoc analysis

Complex ad-hoc analysis

Perform complex ad-hoc portfolio
level analysis and what-if analysis in a
sandboxed environment.
 
Modern Python API

Modern Python API

Combine Quantifi risk results, data and models with other data science and machine learning tools.
 

Back Testing

Back Testing

Data from diverse sources, coupled with open source tools & market standard financial model libraries support back-testing including portfolio and product structuring.

 


Featured Video



Data Science Enabled Portfolio Management Solution

 

Data Science Enabled
Portfolio Management Solution

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.
 

View Video