Analytics Engineer - Global Finance

at ABN AMRO

📍 Amsterdam, Netherlands

EUR 49,400-70,500 per year

JUNIOR

✅ Hybrid

🕙 36-40 hours per week

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Agentic AI Data Engineering Data Pipelines Data Science ETL Machine Learning Mathematics @ 3 Python @ 3 Statistics @ 3

Details

ABN AMRO Clearing N.V. is looking for an Analytics Engineer within its core Data Science team. The role combines quantitative analysis, communication, data engineering, automation, and an interest in the complexity of financial markets.

Responsibilities

Develop and maintain robust data pipelines to extract, transform, and load data from various sources into the analytics platform.
Work in a multidisciplinary team with data scientists, analysts, machine learning engineers, and finance professionals.
Design and optimize automated processes for data collection, data quality checks, and report generation.
Analyze data and create visualizations to identify trends and explain findings to key stakeholders.
Draft requirements with finance professionals and translate them into data and statistical solutions.
Experiment with emerging technologies, including agentic AI, and identify promising use cases that can create value for the organization.
Provide data quality pipelines, automated workflows, reports, and insights to support organizational decision-making.

Working Environment

ABN AMRO Clearing operates in global financial markets and provides integrated solutions in clearing, execution, custody, financing, and risk management. The Global Finance Data Science team is based in Amsterdam, reports to the Global CFO, and works closely with regional finance teams and other departments.

Requirements

Genuine interest in financial markets and the trading industry, with strong motivation to learn.
Strong quantitative capabilities and the ability to communicate ideas effectively.
A BSc and MSc in a STEM discipline such as Mathematics, Statistics, Econometrics, Physics, Engineering, Computer Science, Business Analytics, or a related field.
Experience programming in Python for statistical analysis.
Ability to turn complex analyses into clear stories for technical and non-technical audiences.
Demonstrated initiative beyond academic studies, such as through extracurricular activities or internships.
0–3 years of work experience.
Based in the Netherlands.

Benefits

Monthly salary of €4,114–€5,878.
Additional benefit budget of 11% for flexible employment terms.
25 holidays, with the option to purchase additional days.
Personal development budget of €1,000 per year, which can accumulate up to €3,000.
Annual public transport pass providing free public transportation throughout the Netherlands for business and private use.
Excellent pension scheme.
Professional and technical development opportunities.
Flexible working with three days at the Amsterdam office.