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We are looking for candidates who: 

• Is excited by the pace, complexity, and international nature of financial markets and the trading industry. Prior knowledge is not required, but a genuine interest in financial markets and a strong motivation to learn more about them are essential
• Combine strong quantitative capabilities with the ability to communicate their ideas effectively
• Both BSc and MSc in a STEM discipline such as Mathematics, Statistics, Econometrics, Physics, Engineering, Computer Science, Business Analytics, or a related field
• Experience with programming in Python for doing (statistical) analysis
• Communication skills, with the ability to turn complex analyses into clear stories for both technical and non-technical audiences
• Demonstrated initiative beyond your academic studies, for example through extra-curricular activities or internships
• 0-3 years of working experience
• NL based 

As an Analytics Engineer within the Data Science team, you will play a central role in the development and implementation of data-driven solutions, automation, analytical insights and support for our organization’s decision-making processes. Your key responsibilities are to provide data (quality) pipelines, automated workflows, and create reports & insights to support professionals across our organization. If you are passionate about financial markets, analytics and coding, this is the perfect opportunity for you.  

In your work you will: 

• Develop and maintain robust data pipelines to efficiently extract, transform, and load data from various sources into our analytics platform 
• Join a multidisciplinary team where data scientists, analysts, machine learning engineers, and finance professionals work together on complex, high-impact challenges in global financial markets 
• Design and optimize automated processes to streamline data collection, data quality checks and report generation 
• Analyze data and create visualizations to identify trends and explain findings to key stakeholders. 
• Draft requirements together with finance professionals and translate them into data/statistical solutions  
• Experiment with emerging technologies, including agentic AI, and identify and work on promising use cases that can create value for the organization.