Technology Associate, Equities Trading Desk at Nomura (2024-08 – Present)
- Built and deployed Python tools for trading desks with focus on discrepancy detection and client-flow analysis.
- Owned real-time troubleshooting during trading sessions and acted as technical liaison between platform and traders.
- Built and deployed Python discrepancy-detection and client-flow analysis tools directly with traders, reducing daily reconciliation time by ~20 minutes and identifying 10+ low-value connections for removal, delivering material cost savings through continuous discussion framing with traders.
- Owned real-time troubleshooting during trading sessions, rapidly diagnosing and resolving platform issues under time pressure to maintain execution reliability across the equities desk. Resulted in improved client satisfaction (traders)
- Acted as the technical face of the platform to traders and senior stakeholders, translating business priorities into product enhancements and driving adoption of new tooling through tight feedback loops.
Trading Application Engineer at ExodusPoint (2023-07 – 2024-04)
- Designed and implemented alert-analytics tools and managed vendor relationships to enhance platform reliability. Optimized application-level monitoring during market volatility.
- Designed and implemented a Python alert-analytics tool that reduced noisy/redundant execution alerts by 30% across trading desks, directly improving user experience by solving a real operational pain point.
- Managed relationships with 8+ external vendors end-to-end, enforcing sub-minute SLAs and preventing trading disruptions during high-volatility periods, owning platform reliability and vendor integration outcomes.
- Optimised application-level monitoring to enhance uptime during market spikes, demonstrating composure and decisive action in high-pressure situations.
Assistant Vice President, Trading Application Engineer at Citi (2020-08 – 2023-07)
- Rebuilt Python monitoring and price quoting systems to reduce latency during volatile events. Created automation scripts and owned resilience monitoring for Rates pricing/execution tech stack.
- Rebuilt Python monitoring and price quoting systems to slash monitoring latency from 30s to <10s during volatile events (e.g. 2022 UK mini-Budget crisis), shipping performance-critical improvements directly to traders in real time.
- Created bash and Python automation scripts that saved 20+ trader-hours annually, iterating with users to drive adoption of tools that solved concrete daily pain points.
- Owned end-to-end resilience monitoring for the Rates pricing/execution tech stack, leading Disaster Recovery testing that reduced downtime by 20% and directly supporting production reliability.
