Software Developer – Risk Data Pipelines

Hiring for a Risk Data Pipeline Engineer role within a high-performance trading environment.

If you’ve worked in hedge funds / HFT / trading setups, this might be worth a conversation.

The role sits at the intersection of risk technology, data engineering, and trading systems — building and scaling pipelines that power real-time risk, P&L, and trade lifecycle processes.

You’ll be working on:

• Streaming and normalising trade data from platforms like Bloomberg, Fidessa, SpiderRock
• Ensuring accurate trade booking, reporting, and regulatory compliance
• Building analytics for risk exposure, P&L, and capital efficiency
• Automating trading operations (reconciliation, expiry management, etc.)
• Collaborating closely with quant and trading teams

What we’re looking for:

• Strong Python experience (4+ years) in financial markets
• Solid understanding of SQL / databases
• Exposure to Equities, FX, Credit, or Rates
• Someone who understands post-trade workflows and real-time systems

Good to have:

• FIX protocol
• Data engineering stack (pandas / R / Julia)
• KDB+/q

This role gives deep visibility into how trading firms operate — not just coding, but real impact on risk and capital efficiency.

If this aligns, or you know someone who fits — let’s connect.