Senior Software Engineer - Trading

Senior Software Engineer - Trading Baar ZG Engineering / Full-time / Hybrid

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Your team 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 Trad Fi 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.

Your role 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.

Key responsibilities

• Proactively engage with traders, portfolio managers, operations, risk and compliance to gather, analyze and challenge requirements
• Conduct workload and complexity assessments
• Design, plan and implement new trading system components in Python and Go
• Maintain, operate and enhance the existing production trading infrastructure
• Drive and track progress of architectural changes from concept to production
• Support post-trade reporting, regulatory workflows and operational processes
• Shape the technical direction of new services and initiatives
• Apply and continuously deepen knowledge of financial instruments, market structure and regulation
• Minimum qualifications
• Proven experience in trading system development and operation in traditional finance (FX, equities or rates)
• B. Sc. in Computer Science or similar (e. g. Physics or Applied Mathematics) with software engineering involved
• Hands-on senior level experience in Python and/or Go; strong motivation to become proficient in both
• Deep understanding of the trade lifecycle: order management, execution, post-trade processing and reporting
• Background in a regulated institutional environment
• Algorithms, data structures, complexity analysis and software design
• Unix based systems, containerized environments and Kubernetes
• Working experience with databases: relational, No SQL and time series REST API, Websocket and message brokers (e. g. Kafka, NATS, Pub/Sub)
• Proficient written and verbal communication in English
• Strong analytical and problem-solving skills
• Proven self-starter who takes initiative on ambiguous problems and coordinates effectively across technical and non-technical stakeholders
• Consistently high standards for code quality and system reliability, with curiosity and commitment to ongoing learning
• Preferred qualifications
• Background from a major Swiss bank or institutional asset manager
• Experience building systems subject to financial regulation, including reporting, auditability and controls requirements
• FIX protocol knowledge and experience with institutional execution venues Bloomberg proficiency, ideally AIM and EMSX
• Working knowledge of cloud-native architectures
• Highly proficient in asynchronous, event driven distributed systems

What we offer

• Unique opportunity to build and own institutional trading infrastructure end-to-end, in a lean team without the bureaucracy of a large bank
• Self-funded and already profitable international company in a future-proof market
• Great culture and team spirit with flat hierarchy
• Hybrid working model with office in Zug, Switzerland
• Competitive compensation scheme with an annual bonus
• 25 days of annual leave, pension, insurance and regular company events

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment. xayajpt Final hiring decisions are ultimately made by humans.