Software Engineer

Join a top-tier algorithmic trading firm using cutting-edge machine learning to price 50,000+ instruments across equities, fixed income, FX, commodities, and crypto.

You’ll take ownership of building and owning the core systems that power trading and research across the firm — from corporate actions and fundamentals to index data. This is not about hoarding alternative data; it’s about creating clean, reliable, business-critical datasets that the entire firm depends on.

What you’ll do

• Build and optimise automated data ingestion pipelines
• Own and improve distributed systems used firm-wide
• Apply statistical and algorithmic techniques to improve data quality
• Work closely with internal users to ship impactful improvements
• Operate with real ownership and autonomy in a high-stakes environment

What we’re looking for

• 2–5 years’ experience as a software engineer
• Strong fundamentals in algorithms & data structures
• Proficiency in Java, C++, Go, or similar (Go experience not required)
• Experience with distributed systems
• Interest in data analysis / statistics (regressions, data validation, basic ML)
• Relational database experience a plus
• Finance knowledge helpful but not required

Why this role

• Work directly alongside the investment process
• High ownership, high impact engineering
• Exceptional culture and technical bar
• Hybrid working (4 days office / 1 home)
• Outstanding benefits

Contact Ciara Clarke at Harrington Starr for a confidential discussion.