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We are looking for a graduate with a strong quantitative and technical background to help build next-generation research tools within the European Capital Goods team, leveraging an extensive database of economic and company specific data. You will hold a genuine interest in institutional investment and how institutional fund managers use research.
Job Responsibility:
Support financial modelling, valuation work and industry analysis, maintain and develop sector databases, integrating market, company and macroeconomic data
Assist in producing written research, presentations and client materials
Monitor news flow, macro trends and earnings across the European capital goods sector
Develop and maintain automated workflow systems pulling from financial databases and public sources to speed the delivery of industrial and corporate insights, tailored to fund manager and analyst needs
Apply AI and machine-learning tools to accelerate data extraction, sentiment monitoring, and screening processes
Enhance existing valuation models and assist in creation of new analytical frameworks
Support research output with high-quality charts, dashboards, and automated reporting
Requirements:
Degree in data science, computer science, engineering, finance or similar
Strong programming capability (Python, SQL) and readiness to work with APIs, AI agents and automation tools
Excellent numerical reasoning and competence in Excel modelling
Interest in equity markets, corporate finance and a good understanding of financial statements, basic valuation methods and the institutional investment landscape
Self-starter with the ability to experiment, iterate and problem-solve independently
Seeking up to a 1 year internship to gain valuable direct experience in a demanding finance work environment
Fluent in English
May have achieved a proficient level in a second European language