HRLabs is excited to announce a fantastic opportunity to join a leading investment technology team. Our client is redefining the way technology powers financial markets, working on high-scale trading systems, AI solutions and large-scale quantitative research platforms.
Key Responsibilities:
Work closely with the team to design robust, scalable and secure backend systems and APIs.
Partner with engineers and researchers to translate complex requirements into production-ready solutions.
Build high-performance pipelines for large structured and unstructured datasets and optimize system performance.
Participate in code reviews, architecture decisions and production support rotations, ensuring reliability and observability.
Your Background:
3+ years professional experience with Python in production systems.
Strong academic background in Computer Science, Mathematics, Engineering or related fields.
Proficient with SQL/NoSQL databases (Postgres, MS SQL, MongoDB).
Skilled in designing and maintaining reliable, large-scale systems.
Fluent in English, written and spoken.
Bonus Skills:
Familiarity with the Python scientific stack (pandas, numpy, scipy, scikit-learn).
Experience with distributed systems, AI/ML workflows or large-scale data engineering.
Mentoring junior engineers and leading technical projects.
Our Client Offers:
Work on challenging problems at the cutting edge of finance and technology.
Small, agile teams with high autonomy and impact.
Hybrid working model and flexible schedules.
Professional development opportunities, internal tech talk and external conferences.
Join a forward-thinking team and take your career to the next level. Apply now!
All documents will be treated in the strictest confidentiality. Only short-listed candidates will be invited for an interview.