TRG Screen is seeking an enthusiastic and detail-oriented Graduate Market Data Analyst to join our team in Belfast, United Kingdom. This entry-level opportunity offers hands-on experience working with real-world financial data across banks, asset managers, hedge funds, insurance firms, and pension funds, supported by experienced colleagues and industry-leading software and AI technologies. You will assist in gathering, cleaning, and maintaining market datasets from internal and external sources, support analysis under the guidance of senior analysts, and learn to process and visualise market data using tools like Tableau and Power BI. You will also help leverage AI and machine learning to automate data processing, build and maintain dashboards and reports, monitor data quality, and present findings to stakeholders. Qualifications include a Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related field; some exposure to data analysis through internships or academic projects; proficiency with Excel and an eagerness to develop SQL and Python; a genuine interest in financial markets and how data drives decision-making; curiosity about AI applications in financial services; strong attention to detail and good communication and collaboration skills.

TRG Screen is seeking an enthusiastic and detail-oriented Graduate Market Data Analyst to join our team in Belfast, United Kingdom. This entry-level opportunity offers hands-on experience working with real-world financial data across banks, asset managers, hedge funds, insurance firms, and pension funds, supported by experienced colleagues and industry-leading software and AI technologies. You will assist in gathering, cleaning, and maintaining market datasets from internal and external sources, support analysis under the guidance of senior analysts, and learn to process and visualise market data using tools like Tableau and Power BI. You will also help leverage AI and machine learning to automate data processing, build and maintain dashboards and reports, monitor data quality, and present findings to stakeholders. Qualifications include a Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related field; some exposure to data analysis through internships or academic projects; proficiency with Excel and an eagerness to develop SQL and Python; a genuine interest in financial markets and how data drives decision-making; curiosity about AI applications in financial services; strong attention to detail and good communication and collaboration skills.