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Introduction
Our partner develops and deploys systematic financial strategies using high‑quality predictive signals to identify market inefficiencies across global markets. Their culture blends academic rigor with strong accountability, encouraging open thinking, practical problem‑solving, and continuous improvement. The team develops a scalable, high‑performance software platform that powers our partner’s quantitative research processes and portfolio production.
Tasks
Design and develop software to support quantitative research processes
Build platforms and systems for portfolio production workflows
Contribute to the development of a scalable and efficient platform
Take ownership of unique, complex technical challenges and deliver solutions
Bring professional experience and fresh perspectives to the team
Requirements
A minimum of 7 years of writing production quality code in Python on Linux platform
Willing to learn C++. Experience in C++ is a strong plus
Have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
Strong understanding and experience with Linux system programming fundamentals
Ability to develop large scale, distributed systems
Strong understanding of data structures, algorithms, high performance application design, and concurrency patterns.
Self-motivated and able to work independently with minimal direction
Proficiency in English
An outstanding candidate will also have experience with one or more of:
Developing systems for managing and performing computation on large-scale graph data
Streaming / dataflow systems
Candidates need not have prior experience in financial services.
Our client's offer
Competitive compensation package
2 days of home office per week
Core benefits include: premium private health insurance and life insurance with savings plan
Support for every aspect of life through Employee Assistance Program and fully covered sick leave
Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences
Regular offsite team buildings, annual conferences and occasional global summits, opportunity to travel and connect with their local and global teams
