As part of our Quant team you contribute to build the best possible product solutions along with quantitative engineering and business experts. In this position, you will use your technical expertise to extend and continuously improve our technology stack in a multidisciplinary teams that combines experts in machine learning, systematic trading and risk management.
We offer an exciting project based on state-of-the-art technology and fast development cycles with the potential to disrupt the world of wealth management.
Co-architect the systems and application landscape in the Quant team.
Drive scalability of our high-performance, high-volume applications in the cloud
Development of new features in our suite of products in Python-based stack
Shape features from requirements gathering to delivery.
Contribute with your ideas and initiatives as part of our agile environment.
1-5 years of professional backend development experience
Proven expertise in building scalable applications in a high-level language (e.g. Python, Ruby, Java, C#…)
Experience in the development of high performance and high volume applications
Familiarity with architectures targeted at and consumed by web-based applications (e.g. REST).
Experience with Kubernetes and AWS is a plus
Previous experience with Python is a plus
Experience with continuous integration / delivery (e.g. Github Actions, Teamcity, Jenkins) and version control systems (e.g. git).
A degree in a quantitative discipline (computer science, mathematics, physics, engineering or similar)
Excellent communication skills and the ability to work responsibly in a dynamic international environment.
Ability to work on exciting projects at the intersection of information technology and finance. Cooperation with and exposure to various divisions in Sofia and Zurich, such as Business Development, DevOps, Natural Language Processing, Software Development, Quantitative Engineering. Flat hierarchy and management with strong technical experience, open to new ideas and meaningful experiments, and looking towards developing people.
Close collaboration with our Quantitative Finance and Machine Learning experts
Competitive salary commensurate with experience and education.
Reasonable working hours. One day of home office per week. Five weeks (25 days) of holidays.
Nice and central office space (a small street adjacent to bul. Vitosha and between NDK and Serdika metro stations).
How to apply
If you are interested, we would be very pleased to meet you to discuss and explore next steps. Please send your complete application by e-mail to: