Internship Model Validation (Machine Learning)

Location: CDR (Amsterdam - Cedar), Netherlands; hybrid working. During the internship, enrollment at a Dutch university is mandatory, or at an EU university for EU passport holders.

Company

hirify.global supports ING's Model Risk Management Department, which safeguards the quality, reliability, regulatory compliance, and fitness for purpose of models used across banking risk domains.

What you will do

• Conduct literature research related to financial crime detection and machine learning.
• Analyze large datasets to identify patterns and trends.
• Develop and evaluate statistical or machine learning models.
• Assess model performance and explainability.
• Present research outcomes to technical and non-technical stakeholders.
• Deliver an MSc thesis based on the research project.

Requirements

• Currently enrolled in an MSc program in Data Science, Artificial Intelligence, Computer Science, Econometrics, Statistics, Mathematics, Physics, or a related field.
• Strong analytical and problem-solving skills.
• Experience with Python, R, or similar analytical tools.
• Interest in machine learning and data modelling.
• Good communication skills in English.
• Curiosity, proactivity, and eagerness to learn.
• Mandatory enrollment at a Dutch university during the internship, or at an EU university for EU passport holders.

Culture & Benefits

• Hands-on experience in model risk management and validation within a global bank.
• Collaboration with experienced professionals across various risk domains.
• Culture of innovation, continuous learning, and professional development.
• Hybrid working combining home working for focus with office working for collaboration and co-creation.
• Internship allowance of 700 EUR based on a 36-hour work week.
• Personal work laptop, personal growth opportunities, challenging work, and an informal working environment.

Hiring process

• Submit a CV and motivation letter through the application process.