
Ideally 5 to 8 years of experience supporting trade surveillance such as managing market alerts and alert queue
Strong knowledge of financial products (equities, fixed income, derivates, swaps, bonds, etc.)
Experience driving surveillance improvements with demonstrated change management in cross‑functional environments
Strong analytical judgment with the ability to distinguish normal trading behavior from potentially problematic activity in a fast‑paced, high‑volume environment
Big 4 or Hedge Fund background
Plusses
Master's in related field Technically proficient in SQL Day-to-day
The Trade Surveillance Analyst will be responsible for reviewing and analyzing a high volume of market surveillance alerts—typically 40 to 50 per day—generated by a dedicated platform. Each analyst manages their own alert queue, prioritizing and investigating potential issues by examining market data and identifying patterns across financial products such as equities, fixed income, derivatives, forwards, and swaps. The role is primarily functional rather than technical, requiring strong diligence, curiosity, and a keen eye for anomalies or recurring issues. Analysts are expected to propose improvements when surveillance models underperform and contribute to quality assurance by ensuring no critical signals are overlooked. This is a highly collaborative team that works well cross functionally and wears many hats.
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Master's in related field Technically proficient in SQL Day-to-day
The Trade Surveillance Analyst will be responsible for reviewing and analyzing a high volume of market surveillance alerts—typically 40 to 50 per day—generated by a dedicated platform. Each analyst manages their own alert queue, prioritizing and investigating potential issues by examining market data and identifying patterns across financial products such as equities, fixed income, derivatives, forwards, and swaps. The role is primarily functional rather than technical, requiring strong diligence, curiosity, and a keen eye for anomalies or recurring issues. Analysts are expected to propose improvements when surveillance models underperform and contribute to quality assurance by ensuring no critical signals are overlooked. This is a highly collaborative team that works well cross functionally and wears many hats.
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