Python Engineer - Trading Systems

Overview

Company Crypto-native algorithmic trading firm

Job Python Engineer - Trading Systems

Focus Real-time data, trading infrastructure, internal tools

Team Tight-knit, global team with strong engineering culture

Stack Python, Linux, SQL, optional C++

Location London

Hybrid Flexible working (not fully remote)

Salary Up to £130,000 base + bonus

Benefits Private healthcare, pension, relocation & visa support, regular team events, high-spec workspace

If you love writing clean Python and want to ship code that genuinely powers the markets, this is for you.

You'll join one of the sharpest trading system teams in the digital asset space. This isn't about fluff or speculation, this team has real tech, real trading volume, and real infrastructure already operating across dozens of global markets.

You'll build internal tools, data pipelines, reconciliation engines and live-trading dashboards used by humans and machines alike. The kind of work where milliseconds and clean code both matter. You'll be trusted to get on with things and supported by people who know how to scale trading systems without over-engineering them.

You'll get to work closely with traders, quant researchers, and infrastructure engineers, and you won't be drowned in layers of hierarchy or endless meetings.

You'll thrive here if:

• You're confident writing modern Python in production
• You've worked with SQL databases (PostgreSQL a bonus)
• You're happy working in Linux and aren't afraid of the command line
• You like working in small teams with high autonomy and tight feedback loops
• You're curious about trading, finance or crypto (no prior experience needed - just interest)

Some of the things you'll build:

• Real-time data ingestion pipelines from global crypto exchanges
• Internal GUIs for traders to monitor and manage positions
• Systems to reconcile trades and track risk across thousands of assets
• Infrastructure that supports OTC trading and automated settlements
• High-availability tools for quant teams to explore machine learning features

Interview Process

CV Review >Screening call with us >Technical Interview >Final Interview with Engineering Team >Offer

If this sounds like your kind of engineering role, hit Apply and we'll send over the full breakdown or message us to chat confidentially.