Overview

Software Engineer - (Python) - Up to £200,000 P/A + Bonus + Benefits • London/Remote • Client: Top Fintech

About

Our client is an ambitious and rapidly scaling fintech firm operating at the intersection of investment technology and data innovation. They’re looking for a talented Python Developer to join their growing team. If you’re passionate about building robust systems, love working with data, and are excited by emerging technologies, this is an outstanding opportunity to make an impact at a high-growth company.

What You’ll Do

• Develop and maintain high-performance Python-based applications for quantitative investment software.
• Design and implement scalable data pipelines and data engineering solutions.
• Collaborate with cross-functional teams including product, data science, and engineering to build next-generation fintech tools.
• Contribute to system architecture, design decisions, and continuous improvement initiatives.
• Stay on top of new technologies, bringing innovative ideas and approaches to the table.

What We’re Looking For

• 4+ years of professional experience in Python development.
• Deep understanding of modern software engineering practices, including testing, CI/CD, and agile methodologies.
• A passion for technology and an interest in financial markets or investment tech.
• Degree in Computer Science or related field from a top 100 global university.
• Self-starter attitude with the ability to thrive in a remote-first environment.

What We Offer

• Fully remote working arrangement with flexible hours.
• Competitive base salary and significant performance bonus.
• Opportunity to shape the future of an exciting, fast-growing fintech firm.

Join Us

If you’re ready to bring your skills to a team that values innovation, autonomy, and impact—apply now and help us build the future of investment technology.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Finance
• Manufacturing

Industries

• Computers and Electronics Manufacturing
• Data Infrastructure and Analytics
• Financial Services