Quantitative Developer

We are partnering with a leading investment firm to appoint a Quant Engineer to join a high-performing team focused on developing analytics, automation, and technology solutions that support investment and trading activities.

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.

Key Responsibilities

• Develop quantitative research tools and analytics frameworks.
• Design and enhance risk models and performance attribution capabilities.
• Build dashboards and reporting solutions to provide insights into portfolio and trading activity.
• Automate business processes and workflows to improve efficiency.
• 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.

Requirements

• 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.
• Strong analytical and problem-solving skills.
• Ability to manage multiple priorities and thrive in a fast-paced environment.
• A proactive mindset with a genuine interest in technology and continuous learning.
• Excellent communication and stakeholder management skills.

What’s on Offer

• Opportunity to join a growing and entrepreneurial investment platform.
• Exposure to a broad range of quantitative and engineering challenges.
• Collaborative and high-performing environment.
• 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.

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