[Hiring] Quantitative Analyst @Arvion Services

Role Description

We are looking for a Quantitative Analyst to join our growing Trading & Quantitative Research team based in Cyprus. You will work with financial market data, develop quantitative models, research trading strategies, and build analytical tools to support trading performance, risk management, and execution quality. This role is ideal for someone with strong Python and SQL skills, solid statistical knowledge, and hands-on experience in FX, CFDs, equities, or futures markets.

• Develop quantitative models for pricing, execution, and risk management.
• Analyze financial market data including tick data, order books, trade executions, and historical data.
• Research and develop systematic trading strategies using statistical and machine learning techniques.
• Build and maintain back-testing frameworks to evaluate trading strategies.
• Monitor slippage, spreads, latency, liquidity, and execution quality.
• Develop risk models covering exposure, VaR, drawdown, and stress testing.
• Build automated analytical tools and dashboards using Python and SQL.
• Optimize data pipelines and maintain data quality for quantitative research.
• Work closely with traders, developers, and infrastructure teams to improve trading systems.
• Prepare research reports and present quantitative findings to management.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Finance, or a related field.
• 3+ years of experience in financial markets, particularly FX, CFDs, Equities, or Futures.
• Strong Python and SQL skills.
• Good understanding of statistics, data analysis, and quantitative modelling.
• Experience with financial market data, trading strategies, or back-testing.
• Knowledge of machine learning or quantitative research is an advantage.
• Strong analytical, problem-solving, and research skills.
• Able to work effectively with trading, technology, and infrastructure teams.

Benefits

• Opportunity to work closely with trading and quantitative research teams.
• Exposure to financial markets, systematic strategies, execution, and risk management.
• A dynamic environment where quantitative analysis directly supports trading and business decisions.
• Opportunities to develop your expertise in quantitative research, financial technology, and trading systems.