Quant Developer, Infrastructure Analytics & Research

APG; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

8.33% end-of-year bonus

Work from home 2-3 days/week

Well-managed pension

Job summary

APG Asset Management Amsterdam seeks a Quant Developer to join the Infrastructure EU Team, focusing on its private markets analytics platform. You’ll work with portfolio managers, researchers and engineers to build scalable data tooling that supports the investment process for the EUR 32bn global infrastructure portfolio.

You should have a strong quantitative background and 3–5 years of data engineering experience, with Python, SQL, Git and cloud-native capabilities.

Qualifications

• Master’s degree (or higher) in quantitative disciplines (Math, Stats, CS).
• 3–5 years of relevant experience in data engineering and analytics.
• Strong programming skills in Python, SQL, Git; clean coding practices.

Responsibilities

• Collaborate with portfolio managers, researchers, and engineers within the global team to translate ideas into high-performance tooling.
• Build and maintain robust data pipelines and cloud-native applications.
• Perform thematic research with a quantitative angle on topics impacting underwriting of the investment portfolio.
• Develop and enhance data-driven analytics and LLM platform used in investment decisions.
• Translate research into scalable, low-maintenance information products.
• Ensure system stability, data accuracy, and model transparency.

Skills

Python

SQL

Git

CI/CD

Cloud

Microservices

Agentic engineering

Education

Master’s degree in quantitative fields

Tools

None

Job description

APG Asset Management Amsterdam seeks a Quant Developer to join the Infrastructure EU Team, focusing on its private markets analytics platform. You’ll work with portfolio managers, researchers and engineers to build scalable data tooling that supports the investment process for the EUR 32bn global infrastructure portfolio.

You should have a strong quantitative background and 3–5 years of data engineering experience, with Python, SQL, Git and cloud-native capabilities.