Verschicke keinen generischen Lebenslauf — erstelle einen Lebenslauf und ein Anschreiben, die genau auf diese Rolle zugeschnitten sind.
Swissblock Technologies AG is building out its TradFi Quant Engineering team in Zug to design, deploy, and operate the institutional trading platform. You will work with portfolio managers, quants, traders and risk/compliance experts to translate business needs into reliable software and scalable services.
The Senior Software Engineer role emphasizes ownership, cross-team collaboration, and end-to-end delivery from concept to production in a regulated environment.
At Swissblock, we are passionate about creating cutting-edge algorithmic trading strategies. Our institutional-grade trading solution delivers precision execution and deep market insights across multiple traditional financial markets.
The quant and platform engineers of our technology team create, run and maintain the automated trading platform by combining financial domain expertise, algorithmic precision, and robust engineering.
The TradFi Quant Engineering team is responsible to design, build and operate the infrastructure that powers our systematic trading business lines, as we progress towards becoming a regulated asset manager.
Our trading platform is running in production and serves two different business lines and set of strategies. The system covers data ingestion, strategy execution, order routing, portfolio management, operational workflows, post-trade processing and regulatory reporting, built on Python and Go microservices. As we grow towards full regulatory compliance, we need to extend and harden our platform across the whole trade lifecycle.
This role demands extreme ownership. You will work directly with portfolio managers, quant researchers, traders, operations, risk and compliance experts to understand business needs, translate them into technical solutions, and drive delivery from concept to production. As a Senior Software Engineer you will proactively engage stakeholders, gather and clarify requirements, identify gaps, and propose pragmatic but robust solutions before writing a single line of code.