Data Analyst (Dealing / Trading Analytics) - Capital
View Company Profile- Job Title
- Data Analyst (Dealing / Trading Analytics)
- Job Location
- Limassol, Cyprus
- Job Description
- 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)
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Capital Company Size
Between 50 - 2,000 employees
Capital Founded Year
2016
Capital Total Amount Raised
$25,000,000