Job Description

About the Role

Are you looking for a place where your analytical skills can actually impact real-world financial technology? We are looking for a driven and curious Trainee in Data & AI to join our team.

This isn't your typical "coffee-fetching" internship. From day one, you’ll dive headfirst into our modern data stack, collaborating directly with senior engineers and analysts. You’ll gain hands-on experience managing, cleaning, and transforming critical information into actionable insights, all while mastering best practices in a fast-paced fintech environment.

What You’ll Do

As a Trainee in Data & AI, you will be an active contributor to our team’s core mission. You will:

• Dive into the Data: Assist with data collection, rigorous cleaning, and complex analysis to ensure our organization moves forward with data-driven confidence.
• Guard Data Quality: Support data quality checks and reporting, becoming a key player in maintaining our high standards of data integrity.
• Build & Maintain: Help document scalable processes and monitor basic data pipelines, keeping our systems healthy and efficient.
• Collaborate Across Teams: Work side-by-side with data engineers and business analysts on cross-functional projects.
• Level Up Your Tech Stack: Fast-track your learning in core industry tools and concepts, including SQL, Python, Git, and modern data warehousing.

Requirements

What You Bring

• The Background: You are currently pursuing a degree in Computer Engineering, Data Science, or a related technical field.
• The Mindset: You possess strong analytical skills, a sharp eye for detail, and a genuine eagerness to learn and adapt within a fast-moving team.
• The Essentials: Basic, foundational knowledge of Excel, SQL, and Python (university projects count!).
• Communication: Fluency in English (both written and spoken), as you’ll be working in an international environment.

Nice to Have

• Prior exposure to data libraries and tools like Pandas, Jupyter Notebooks, or Git.
• A basic understanding of relational databases and architecture.
• Familiarity or curiosity regarding containerization concepts (like Docker).
• A budding interest in data governance and data engineering practices.

Benefits

• Join a culture that celebrates creativity and welcomes innovative, disruptive ideas, empowering you to make a real impact.
• Immerse yourself in a fast-paced, diverse workplace where you'll have the chance to collaborate and learn from specialists across various fields, fostering personal and professional growth.
• Embrace automation and seamless tech integration in your workflows⚙, while our platform boosts operations through tech leverage, ensuring you stay ahead of the curve and updated with new technologies.
• Work in a comfortable, ergonomic environment within our spacious, modern offices where you can enjoy daily fresh fruit and coffee!
• Monthly afterworks organised by the company to unwind and strengthen team connections.