Responsibilities:

• Partner day-to-day with the Dealing team to support trading and operational workflows with data and insights.
• Build and enhance analytics and reporting capabilities to support product evaluation, trading performance, and operational monitoring.
• Gather business requirements and apply market/trading context to scope data requests, define metrics, and recommend practical solutions.
• Analyze large, disconnected datasets to synthesize insights and highlight risks/opportunities.
• Collaborate with business leaders and cross-functional stakeholders to enable market-facing solutions powered by data.
• Communicate findings clearly (written and verbal) and deliver solutions reliably and on time.
• Ensure data quality by validating inputs, monitoring key metrics, and improving definitions/documentation where needed.

Requirements:

• Strong SQL and database experience (querying, joining, modeling/structuring data for analysis).
• Advanced working knowledge and experience with Python
• Basic statistical knowledge and ability to apply it appropriately in analysis and reporting.
• Demonstrated experience manipulating, processing, and extracting value from large, messy, and/or disconnected datasets.
• Strong understanding of trading/dealing concepts and market microstructure (execution, pricing, liquidity, slippage, exposure, hedging basics).
• Familiarity with anti-fraud / trading abuse patterns and investigation workflows.
• Experience working with API connections (REST/WebSocket)
• Experience with machine learning / deep learning / data science methods (nice to have)