Analytics Engineer - Global Finance

You will gain extensive knowledge of the financial markets and clearing industry while working on challenging and impactful data science projects.

In addition, we offer:

• An attractive monthly salary
• An additional benefit budget of 11%, with which you can buy flexible terms of employment
• 25 holidays with the option to purchase extra days through the benefit budget
• A personal development budget of € 1,000 per year, which can accumulate up to €3,000
• An annual public transport pass with free public transportation throughout the Netherlands for both business and private use
• An excellent pension scheme
• Opportunities for professional and technical development
• The ability to work flexibly (3 days at the Amsterdam Office)

ABN AMRO Clearing N.V. (AACB) is looking for an Analytics Engineer within our core Data Science team who combines excellent quantitative and communication skills with a strong drive to understand and learn about the complexity of the financial markets.

Do you want to work in a data science team that focuses on the financial markets and the clearing industry? ABN AMRO Clearing operates at the heart of global financial markets, serving many of the world's leading trading firms and connecting to the major exchanges and trading venues worldwide. Processing billions of transactions annually, AACB is recognized as one of the leading clearing firms globally.

You will be working in the Global Finance Data Science team in Amsterdam, reporting to the Global CFO, and closely co-operating with regional finance teams and other departments. The team consists of a group of high-performing people. You will contribute your ideas and perspective to projects addressing concrete challenges in global financial markets.

As an Analytics Engineer within the Data Science team, you will play a central role in the development and implementation of data-driven solutions, automation, analytical insights and support for our organization's decision-making processes. Your key responsibilities are to provide data (quality) pipelines, automated workflows, and create reports & insights to support professionals across our organization. If you are passionate about financial markets, analytics and coding, this is the perfect opportunity for you.

In your work you will:

• Develop and maintain robust data pipelines to efficiently extract, transform, and load data from various sources into our analytics platform
• Join a multidisciplinary team where data scientists, analysts, machine learning engineers, and finance professionals work together on complex, high-impact challenges in global financial markets
• Design and optimize automated processes to streamline data collection, data quality checks and report generation
• Analyze data and create visualizations to identify trends and explain findings to key stakeholders.
• Draft requirements together with finance professionals and translate them into data/statistical solutions
• Experiment with emerging technologies, including agentic AI, and identify and work on promising use cases that can create value for the organization.

ABN AMRO Clearing is recognized as a global leading provider of integrated solutions in clearing, execution, custody, financing and risk management. With 11 offices globally, we service clients on 160+ exchanges, MTFs and FX liquidity centers, processing over 20 million trades daily. ABN AMRO Clearing consistently ranks amongst the top 3 clearing firms on most relevant derivatives exchanges globally and enjoys market share of 20% or higher for many of the major exchanges on which it operates. Our service is tailored to the needs of Principal Trading groups, Brokers, Financial Institutions, Corporates active in the physical commodity value chain and of Hedge Funds that apply strategies in multiple asset classes based on CTA/Managed Futures, Relative Value Volatility Arbitrage, and Long/Short positions including Synthetics.

• Is excited by the pace, complexity, and international nature of financial markets and the trading industry. Prior knowledge is not required, but a genuine interest in financial markets and a strong motivation to learn more about them are essential
• Combine strong quantitative capabilities with the ability to communicate their ideas effectively
• Demonstrated initiative beyond your academic studies, for example through extra-curricular activities or internships