Overview
In this role you will help identify and analyse potential market abuse and financial crime across LSEG secondary markets. You will work with post-trade trading data to detect unusual patterns and support investigations for potential referrals. The role combines hands-on data analysis with developing the team’s data-analytic capabilities, in a collaborative, quality-driven environment. You will engage with stakeholders, present cases, and contribute to maintaining orderly, compliant markets and effective surveillance. This is a senior, impact-focused position within Market Supervision that emphasizes growth in data skills and practical regulatory insight.
Pay / Benefits
- healthcare
- retirement planning
- paid volunteering days
- wellbeing initiatives
- tailored benefits and support
Responsibilities
- Identify and analyse potential market abuse and financial crime in secondary markets
- Conduct detailed post-trade trading analysis for LSEG venues
- Help develop capabilities to manipulate and visualise large data sets
- Raise trading queries with members, present cases at team meetings, and submit STORs when needed
- Identify and implement improved methods for data manipulation/analysis using BI tools, Excel, or with the Quantitative Surveillance and Technology team
- Optimise and develop surveillance alerts
- Keep team documentation up-to-date (alert versions, procedures, thresholds)
Key requirements
- Experience with large datasets and identifying unusual trading patterns
- Experience in automating manual tasks and introducing new tools/techniques
- Experience in trading analysis related to market misconduct, especially market abuse
- Awareness of UK/European market abuse legislation
- Knowledge of secondary markets and trading across equities, FICC, and related derivatives
- Strong analytical and data manipulation skills
- Good organisation, prioritisation and ability to progress issues in a timely manner
- Strong written and verbal communication skills and ability to present effectively in writing and speaking
- Proactive attitude
- Strong team player
- Good stakeholder management and regular communication
- SQL (Desirable)
- VBA (Desirable)
- Python data packages (Desirable)
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