Job Title

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, SpiderRockEnsuring accurate trade booking, reporting, and regulatory complianceBuilding analytics for risk exposure, P&L, and capital efficiencyAutomating trading operations (reconciliation, expiry management, etc.)Collaborating closely with quant and trading teamsWhat we’re looking for:Strong Python experience (4+ years) in financial marketsSolid understanding of SQL / databasesExposure to Equities, FX, Credit, or RatesSomeone who understands post-trade workflows and real-time systemsGood to have:FIX protocolData engineering stack (pandas / R / Julia)KDB+/qThis 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.