April 20, 2022
SimCorp, an independent provider of SaaS (Software as a Service) investment management solutions, and StarQube, a Fintech providing a flexible suite of investment decision modules, announce their collaboration to offer a comprehensive framework for applying data science in portfolio construction.
Combining StarQube with SimCorp’s integrated front-to-back investment management platform will offer mutual clients secure and easy access to a comprehensive investment decision platform, enabling them for quantitative research and portfolio construction and optimization. StarQube provides a state-of-the-art environment to create proprietary investment signals and back-test strategies; it is also an open-ended tool that provides research or quant teams with a wide library of APIs to conduct their data science work.
StarQube enables clients to leverage multiple data sources, including financial and non-financial data, to produce, in a low-code fashion, both in-house ESG ratings, leveraging a full materiality map, and bespoke analytical models. These can then be used to create, optimize and rebalance portfolios.
Anders Kirkeby, Head of Open Innovation, SimCorp comments: “Some people want good solutions they can trust work out of the box. Others want complete freedom. Traditionally the latter would be stuck with programming tools which are technically complex and have a high cost over their lifetime because the people involved typically aren’t professional software engineers. StarQube fixes that by offering users with a quantitative aptitude very powerful flexibility without having to write a single line of code, while the integration with SimCorp ensures that data flows securely without having to maintain any integrations.”
Guillaume Sabouret, CEO at StarQube adds: “Combining StarQube with SimCorp provides clients with a secure, seamless and integrated solution for conducting investment research and managing portfolios, while also covering a wide range of their value chain. SimCorp is a great and natural partner for StarQube as it puts our platform in a front-to-back continuum while expanding our visibility to their broad base of global investment management clients.”
The collaboration with StarQube forms part of SimCorp’s dedicated Open Innovation program. This has been created to deliver SimCorp clients enhanced innovation by leveraging the power and scale of a broad ecosystem of start-ups, fintechs, cloud and data providers. Mutual clients will benefit from this new partnership as the operational solution enables them to conveniently and efficiently handle their reporting requirements globally, bringing faster time-to-value for the business and their clients without also taking on an IT integration project.
SimCorp offers industry-leading, front-to-back investment management solutions.
Our platform and ecosystem, comprising partners, services, and third-party connectivity empowers us to provide 40% of the world’s top 100 financial companies with the efficiency and flexibility needed to succeed.
With over 25 offices around the world, and 2,000 employees, we are a truly global, collaborative team that connects every continent and industry seamlessly.
For more information, please visit www.simcorp.com
Established in 2013, StarQube develops a suite of data organization and investment decision support solutions designed to streamline investment processes, starting from data acquisition, through fast backtesting of client-defined strategies and risk management, all the way to portfolio rebalancing, dispatching of orders and reporting. StarQube provides asset managers with a nimble way to automate each of their clients’ bespoke portfolio management processes while saving on structural and data costs. StarQube is notably used for systematic strategies and socially responsible investment purpose.To learn more, visit starqube.com.
For more information, please contact:
StarQube: Guillermo Albiñana Arias, Head of Marketing, Email: email@example.com
SimCorp: Alex McNab-Lundback, Head of PR, Email: firstname.lastname@example.org