Software Engineer

Degree in a technical or quantitative discipline from a top tier institution

3 to 8 years of working experience in software engineering

Demonstrated ability to program in Python (preferred) or C++ on Linux/Unix platforms, familiarity with scripting languages

Experience with effective code version control, as well as Continuous Integration and Deployment.

Motivated by the transformational effects of technology-at-scale.

Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial

Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday

We offer a strong culture of learning and development: training courses, library, speakers, share and learn events

Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people

Premium Health Insurance and Employee Assistance Program

Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family

Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.

You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies.

Design and build data pipelines and the data layer.

Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale.

Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.

Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions.

Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation.