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Surveillance Officer

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Trade Surveillance & Surveillance Analytics Officer offering £50,000–£60,000. This is a highly analytical position suited to a technically strong surveillance professional with advanced Python skills, combining BAU alert investigation work with surveillance optimisation, data analytics, and model enhancement initiatives.

This role sits within the Surveillance function and combines traditional trade surveillance responsibilities with a strong technical and data analytics focus. The successful candidate will support daily alert review and investigations across multiple asset classes while also driving surveillance enhancement, calibration, data analysis, and monitoring optimisation initiatives.

The position requires a highly analytical individual with advanced Python capability who can work across Compliance, Surveillance, and Technology teams to improve monitoring effectiveness, investigate trading activity, and enhance surveillance controls through data-driven analysis.

Key Responsibilities

  • Perform daily monitoring and investigation of surveillance alerts across trades, orders, RFQs, and market activity.
  • Conduct detailed alert analysis, escalation management, and documentation of investigation outcomes.
  • Identify potential market abuse, conduct risk, or control weaknesses and escalate appropriately.
  • Analyse large surveillance and trading datasets to identify trends, anomalies, and gaps in monitoring coverage.
  • Use Python extensively for surveillance analytics, automation, reporting, calibration analysis, and data interrogation.
  • Support surveillance model validation, threshold reviews, parameter tuning, and monitoring optimisation exercises.
  • Work closely with Technology and Front Office teams to resolve data quality, feed, and monitoring issues.
  • Produce MI, statistical reporting, and management updates for senior stakeholders and regulatory purposes.
  • Contribute to the enhancement of surveillance controls, monitoring methodologies, and operational processes.
  • Maintain clear documentation, procedures, and audit trails relating to surveillance activities and model governance.

Essential Experience & Skills

  • Strong trade surveillance, market conduct, or compliance monitoring experience within financial services.
  • Advanced Python programming and data analytics capability (essential).
  • Strong experience handling and analysing large datasets within surveillance, compliance, risk, or trading environments.
  • Experience using Python for automation, data analysis, reporting, and surveillance enhancement.
  • Understanding of market abuse typologies including spoofing, layering, front running, wash trades, and manipulation scenarios.
  • Ability to perform detailed investigations and clearly document findings and escalations.
  • Strong analytical, problem-solving, and stakeholder communication skills.
  • Experience producing management reporting and surveillance MI.
  • Strong understanding of surveillance controls, alert frameworks, and calibration methodologies.

Preferred

  • Experience with surveillance vendor platforms and monitoring systems.
  • SQL, VBA, or additional technical scripting capability.
  • Knowledge of market data, trade flows, and investment banking products.
  • Experience supporting surveillance model enhancement or validation initiatives.
  • Understanding of FCA / EU market abuse regulations and conduct risk frameworks.

Candidate Profile

This role is best suited to a technically strong surveillance professional with deep data analysis capability. The position requires someone who can move beyond BAU alert handling and contribute meaningfully to surveillance enhancement, control optimisation, model calibration, and data-led monitoring improvements.

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Contract Type: Permanent

Specialism: Banking & Financial Services

Focus: Compliance

Industry: Financial Services

Salary: £50,000 - £60,000 per annum

Workplace Type: Hybrid

Experience Level: Associate

Location: City of London

Job Reference: 1POR7R-7CDCDADF

Date posted: 19 May 2026

Consultant: Sam Pound