IT Support Developer

This is an excellent opportunity for an engineer with a passion for financial markets and technology to work on a broad range of projects across quantitative research, risk analytics, data engineering, and process automation. Design and enhance risk models and performance attribution capabilities. Collaborate with investment, risk, and operations teams to deliver scalable technology solutions. Write high-quality, production-grade code with a focus on reliability, maintainability, and performance. Contribute to both strategic initiatives and day-to-day development projects. 3–6 years' experience in quantitative development, software engineering, or a similar technical role. ~ Strong Python programming skills are essential and will be a key requirement for this position. Candidates should be highly proficient in Python and comfortable building production-quality applications and analytics tools. ~ Experience with Python libraries such as Pandas, NumPy, SciPy, Numba , or other data science frameworks would be advantageous. ~ Exposure to financial markets, fixed income products, or credit instruments would be beneficial, although not essential. ~ Opportunity to join a growing and entrepreneurial investment platform. Excellent career progression and development opportunities. If you are a Python-focused Quant Engineer or Software Engineer with an interest in financial markets and would like to hear more, please get in touch for a confidential discussion.