Quant Developer, Research & Analytics, Infrastructure EU Team

APG Asset Management; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

8.33% annual bonus

Work from home 2-3 days/week

Pension

Personal development

Job summary

APG Asset Management Amsterdam is hiring a Quant Developer to join the Infrastructure EU Team, focusing on building a global analytics platform for private markets and supporting the investment process for a EUR 32bn infrastructure portfolio.

The role blends quantitative data modelling with scalable, robust code, collaborating with portfolio managers, researchers, and engineers across regions. Strong Python/SQL skills, cloud experience, and a growth mindset are essential.

Qualifications

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

Responsibilities

• Collaborate with portfolio managers, researchers, and engineers to translate ideas into high-performance tooling.
• Build and maintain robust data pipelines and cloud-native applications.
• Perform thematic, quantitative research to inform underwriting of the infrastructure portfolio.

Skills

Python

SQL

Git

Data analysis

CI/CD

Cloud

Microservices

Communication

Education

Master's degree in quantitative disciplines

Tools

CI/CD pipelines

Cloud platforms

Microservices

Job description

Quant Developer, Research & Analytics, Infrastructure EU Team

The role

APG Asset Management Amsterdam is looking to hire a Quant Developer to join the growing Infrastructure team of private markets. Reporting to Research & Analytics Infrastructure Lead, the role is a pivotal element both in the development of a global Infrastructure analytics platform and the investment process for the Infrastructure portfolio. Combining an interdisciplinary array of private data points ranging from climate risk data, reputational risk datasets, GRESB and core financial datasets, this analytics platform enables efficient bottom-up research on private infrastructure investments, combined with top-down oversight. This role is a unique opportunity to contribute to a fast-growing platform that is instrumental in the investment decision process and management of a EUR 32bn worldwide infrastructure portfolio.

This is an ideal role for candidates with a quantitative background, experience in financial data modelling with a strong focus on code scalability and robustness, and who want to learn more about the private infrastructure market.

Why join our team?

• Be part of atightknit, forward-thinking teamspread across EU, US and Asia shaping the future of infrastructure investing.
• Get your hands on alternative datasets inaccessible for the capital markets audience.
• Be exposed to a vast range of asset types, from EV charging companies, rail/road/sea transport companies to renewable energy companies.
• Take full ownership of the development of information products end-to-end.
• Thrive in a culture based on meritocracy that values collaboration, innovation, and continuous learning.

What you would do

• Collaborate with portfolio managers, researchers, and fellow engineers within the global team to understand the Infrastructure investment processes and turn relevant ideas into high performance tooling.
• Build and maintain robust data pipelines and cloud native applications.
• Perform thematic research with a quantitative angle on relevant topics to assess the impact on underwriting of the investment portfolio.
• Develop and enhance our 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.

What you bring

This role requires not only strong technical capabilities but also the ability to work effectively with diverse stakeholders across regions.Success in this position depends as much on collaboration and communication as it does on coding and analytics.

Soft Skills

• Fluent in English (written and spoken).
• Strong analytical and statistical reasoning.
• Effective communicator and team collaborator.
• Detail-oriented with a growth mindset and interest in infrastructure investing.

Technical Skills

• Master's degree (or higher) in quantitative disciplines (Math, Stats, CS).
• At least 3-5 years of relevant working experience in data engineering and analytics.
• Strong programming skills in Python, SQL, Git, and clean coding practices.
• Experience with CI/CD pipelines, cloud solutions, and microservices.
• Experience with agentic engineering is a plus.

What we offer you

We will offer you, depending on relevant knowledge and experience, a competitive salary and great employment conditions aimed at flexibility, such as:

• A guaranteed end of year bonus of 8.33%
• Attention to your vitality and personal development
• Possibility to work from home 2-3 days per week
• And obviously a well-managed pension

Where you will work

For pension provider APG, pension is about people, life, and living together. With careful asset management, pension administration, communication and advice, we work on a livable future for current and future generations. One in which we share prosperity and well-being fairly and sustainably. Now and later.

APG is committed to around 4.5 million people in the Netherlands, which is why we believe it is important to be a reflection of Dutch society. This means that APG strives for an inclusive work environment, in which everyone can be themselves and where your unique qualities are embraced.

When you choose to work at APG, you're choosing a job where you contribute to a bright future.

More information

Get in touch with Bart Creusen (Corporate Recruiter) via [phone] or [e-mail] or Thomas Van Der Meij (Expert Portfoliomanager Research & Analytics Infrastructure) via [e-mail] who can tell you more about the specifics of the position.

Do you see your future at APG? let yourself be seen.

A pre-employment screening is part of the procedure. An assessment and/or technical case study may also be included.