Software Developer – Risk Data Pipelines

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

If youve 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.

Youll 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 were 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 lets connect.