Senior Software Engineer - Trading

Swissblock; Inwil; Vor Ort; CHF 130.000 - 190.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Office in Zug

Annual bonus

25 days annual leave

Pension & Insurance

Zusammenfassung

Swissblock in Zug, Switzerland, seeks a Senior Software Engineer to join the TradFi Quant Engineering team, building and operating the automated trading platform for systematic strategies. You will design, run and maintain the infrastructure powering data ingestion, strategy execution, order routing, portfolio management and post-trade processes.

The role requires hands-on Python and Go, deep knowledge of the trade lifecycle, and collaboration with portfolio managers, quants, traders,

Qualifikationen

• Proven experience in trading system development and operation in traditional finance (FX, equities or rates).
• B.Sc. in Computer Science or similar with software engineering involved.
• Hands-on senior level experience in Python and/or Go; motivated to be 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, NoSQL and time series.
• REST API, Websocket and message brokers (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 across stakeholders.
• High standards for code quality and system reliability; committed to learning.

Aufgaben

• 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 deepen knowledge of financial instruments, market structure and regulation.

Kenntnisse

Python

Go

English

Distributed systems

Problem solving

Analytical thinking

Regulated finance domain

Kubernetes

Ausbildung

B.Sc. in Computer Science or related

Tools

Kafka

NATS

Bloomberg AIM / EMSX

Kubernetes

Jobbeschreibung

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 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.

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, NoSQL 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