Trading Desk Analyst

You will take operational ownership of the real-time control layer for automated trading businesses. You will use internal tools, dashboards and automated workflows to monitor, diagnose and optimize real-time engine performance. When anomalies arise, you will interrogate the data quickly and execute or coordinate interventions to safeguard firm, client and counterparty capital. You will translate complex operational signals into high-impact decisions that prevent losses and drive measurable value. You will provide precise, evidence-based feedback to quantitative research and trading technology teams, maintain clear handovers and post-event notes, and cover relevant APAC market hours including scheduled shift work and occasional weekend coverage.

Responsibilities

• Own real-time supervision of automated trading strategies and related operations
• Develop a strong understanding of expected engine behaviour and maintain proactive scepticism of automated outputs
• Use trading metrics, dashboards, alerts and data workflows to understand performance, liquidity, execution quality, risk, positions and operational health
• Respond calmly and decisively to market events, venue issues, client flow, risk-limit changes and internal anomalies, escalating when required
• Own system alerts, anomalies and operational breaks from detection through resolution
• Provide precise, evidence-based feedback to quantitative research and trading technology teams
• Partner with researchers, developers and systems engineers to enhance monitoring and control tools
• Maintain clear handovers and post-event notes so judgement, context and lessons learned compound over time
• Cover relevant APAC market hours, including scheduled shift work and occasional weekend coverage

Requirements

• At least 5 years' experience on a highly automated trading desk, in electronic market making, trading operations, risk, market structure or another high-accountability operational environment
• Knowledge of FX, equities, futures, commodities or crypto markets is most beneficial
• Strong academic background in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering or a related field
• Functional proficiency with Python, Pandas and SQL
• Experience making decisions from incomplete or noisy data in a fast-moving environment
• Strong quantitative reasoning and practical trading intuition
• Precise written and verbal communication skills
• Track record of being exceptionally conscientious and reliable