Integrating Quantifi’s cross-asset analytics, best-of-breed big data and data science tools to analyse and visualise results.
Complex Data Analysis
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 supports data science and 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
Improve investment decisions with machine learning and AI
Lower operational costs with an integrated self-service architecture
Improve Investment Decisions
Mix Diverse Data Sources
Easily mix diverse data sources for complex reporting, including structured & unstructured data.
Flexible Self-Serve Reporting
BI and visualisation which includes use of third-party tools such as Power BI and Tableau.
Processing capabilities can easily scale up or down to accommodate a client’s demands & business needs.
Complex Ad-hoc Analysis
Modern Python API
Combine Quantifi risk results, data and models with other data science & machine learning tools.
Make Better Investment Decisions
Providing clients with the ability to do complex data analysis and flexible reporting using 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.
How is Data Science Revolutionising Risk Management & Finance?
Using data science, firms can focus their resources efficiently, make smarter decisions, and improve performance. This survey was conducted during a webinar hosted by Quantifi & Risk.net, on ‘The Future is Now: How Data Science is Revolutionising Risk Management and Finance’. Over 250 industry participants were invited to take part.
Jeysson Abergel, Head of Trading and Macro Strategy at Arini
Over the last few years, there has been a step change in the role of data and technology in trading, risk management and investment decision-making. Firms are deploying data science tools to improve risk assessment and business response strategies, and bring more rigour to their operations.
Data science is playing an increasingly pivotal role across capital markets, with the potential to transform decision-making across trading and risk, banking and investment.
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.