Capital.com

Data Analyst, Trading Analytics

Limassol, Cyprus
SQL Python API Machine Learning Deep Learning
Description

Data Analyst (Dealing / Trading Analytics)

Team: Product Analytics

Location: Limassol, Cyprus

Commitment: Hybrid

Workplace Type: hybrid

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)
What you will get in return:

Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.



Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Capital.com
Capital.com

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