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.
Communication @ 3
Compliance @ 3
Data Visualization @ 2
Python @ 3
SQL @ 3
Statistics @ 2
- 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.
Details
Are you an aspiring Data Analyst interested in enhancing risk mitigation measures and translating business questions into robust analyses? The Detecting Financial Crime (DFC) department at ABN AMRO focuses on managing money laundering, terrorist financing, and sanctions risks. Within DFC, the Innovation Design & Change - Data Analytics (IDDA) team performs data and process analytics to support data-driven decision-making.
Responsibilities
- Help build and improve mitigating measures for new and existing client risks.
- Understand business questions, explore data, perform analyses, and turn findings into clear insights.
- Use PySpark to explore data and support analytical work.
- Work with data engineers and experienced analysts to understand data sources, analytical methods, and models.
- Write simple SQL queries or code to answer business questions.
- Check data quality and identify useful patterns or unexpected results.
- Summarize and present findings clearly to technical and non-technical colleagues.
- Participate in team meetings, workshops, and learning opportunities.
Requirements
- Curiosity, eagerness to learn, and enjoyment of collaborative work.
- Interest in solving problems with data.
- Basic knowledge of SQL or Python.
- Willingness to ask questions, learn from feedback, and share ideas.
- Clear communication skills and an interest in explaining findings to others.
- Fluency in written and spoken English.
- No previous professional experience in data analytics is required; experience from studies, projects, internships, or self-directed learning is welcome.
Preferred Qualifications
- A relevant bachelor's or master's degree, or equivalent knowledge gained through another route.
- Familiarity with statistics, data visualization, PySpark, or version control.
- Interest in banking, risk management, compliance, or financial economic crime.
Benefits
- Gross monthly salary of €4,114–€5,878 based on a 36-hour working week, including holiday allowance and a flexible benefits budget.
- Excellent pension scheme.
- Flexible working arrangements, with working from home possible in consultation with the team and depending on the role.
- Ergonomic home workspace.
- Five weeks of annual leave, two mandatory days off, and the option to purchase up to four additional weeks of leave annually.
- Five additional “Banking for better days” leave days for personal development or volunteer work.
- Annual development budget of €1,000, which can be saved up to €3,000.
- Annual public transport pass providing free public transport throughout the Netherlands for business and private use.
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