We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are hiring a Data Analyst to partner closely with our Dealing team to improve trading and operational decision-making through data. This person will build and maintain analytics and reporting capabilities, translate business needs into well-scoped data solutions, and deliver actionable insights to support product evaluation and day-to-day operations. Strong SQL and Python skills are required, along with proven experience in trading/fintech/financial markets.
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)
