Machine Learning Engineer - Stageur

ING, a leading global bank with a strong European foundation, is seeking a Machine Learning Engineer intern to join their advanced analytics team. This role presents an exciting opportunity for students interested in writing their thesis while working on real-world applications of machine learning in banking.

The position involves working with a team that applies cutting-edge analytics, including machine learning, quantitative algorithms, and data mining techniques, to derive business insights and solve complex problems. The role spans the entire project lifecycle, from initial design to final implementation, working with stakeholders across all areas of the bank including business, risk, retail, and corporate banking.

The primary focus will be on developing a deep learning model for the mortgage portfolio, evaluating different approaches, and comparing them with the current production model. This presents an excellent opportunity to gain hands-on experience in applying machine learning to real financial data while contributing to meaningful projects that impact the bank's operations.

The ideal candidate should have strong Python programming skills (2+ years experience), familiarity with machine learning frameworks, and solid understanding of object-oriented programming principles. Experience with deep learning frameworks like Keras/TensorFlow would be advantageous. The role requires someone who is self-driven, collaborative, and capable of working under pressure while maintaining high ethical standards.

Working at ING means joining a team of energetic, ambitious, and friendly professionals who are committed to making a positive impact on people and the planet. The bank offers an environment that promotes autonomy, values customer-centric innovation, and places sustainability at the core of its operations. This internship provides an excellent stepping stone for students looking to build a career at the intersection of technology and finance.