We have a great speaker lineup for FinDEVr London which will take place on June 12 & 13. As part of our FinDEVr Feature series, which highlights some of the speakers you will see on stage at the event, we recently interviewed the speaker for one of the presenting companies, aixigo. You can save 20% on your FinDEVr ticket when you register with aixigo’s promo code aixigo20LD17.
Here’s our interview with Marcus Gruendler, aixigo’s Head of Portfolio Management Systems:
Where did you start your career and how did you gain the experience needed to run the tech side of your company?
Gruendler: I am a technical consultant and software architect at aixigo AG in Germany. Having more than 15 years of expertise in developing and managing international software projects for financial services, I’m currently actively developing high performance portfolio management software.
My focus is combining software engineering skills with the ability to bridge technical and business backgrounds. These skills are based upon the experiences from software projects in the european banking sector such as Citigroup, Commerzbank, DAB Bank, Cortal Consors and several more.
My current field of interest focuses on delivering digital wealth management software solutions at retail scale.
From a technologist’s perspective, what’s unique and game-changing about your technology?
Gruendler: With aixigo’s Digital Portfolio Management solution we offer you high performance services for complex portfolio data. So that you can not only provide high speed responses for human speech interaction but can also perform mass calculations for millions of portfolios within a few minutes. With this technology, we bring new business models (for example Wealth Management) to the retail market that have only represented a conceivable opportunity for high value clients so far.
Tell us about your favorite implementation of your solution/technology.
Gruendler: The core component of our portfolio management system is a high performance in-memory-engine. Current programming models waste performance speed due to slow memory access. Our new stream oriented computing engine optimizes data access in a way that enables the CPU to perform operations 100-200 times faster than classic algorithms can. This high performance engine allows for the provision of complex functionalities for a large set of clients, as well as allowing for such a provision in low latency scenarios (e. g. analytics, monitoring or rebalancing). It is even possible to use our services with human speech interactions (such as Amazon Alexa) or AI interactions (IBM Watson).
FinDEVr London 2017 is sponsored by TestDevLab.
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