Data Scientist - Detecting Financial Crime

at ABN AMRO

📍 Amsterdam, Netherlands

EUR 63,600-90,900 per year

JUNIOR MIDDLE

✅ 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.

AML @ 3 Azure @ 3 Compliance Data Science @ 3 Git @ 3 KYC @ 3 Machine Learning @ 2 Python @ 3 Security

Details

Join ABN AMRO's Data Science Innovation Team within Detecting Financial Crime (DFC), a team of more than 35 data science experts based in Amsterdam. You will work on socially relevant projects that support the stability and security of the financial system, transforming traditional transaction monitoring processes into state-of-the-art machine learning solutions.

Responsibilities

Innovate and develop machine learning models for transaction monitoring processes.
Collaborate with business units, Compliance, DFC analysts, and other departments to improve financial crime detection.
Continuously tailor data-driven models to evolving business needs and emerging financial crime threats.
Interpret model results and communicate findings effectively to technical and business stakeholders.
Contribute to the detection of money laundering, terrorist financing, tax evasion, and other financial crime activities.
Develop and deliver data science and machine learning projects with recognizable business and societal impact.

Requirements

A master's degree or PhD in computer science, data science, or a related field.
One to three years of work experience as a Data Scientist.
Familiarity with recent developments in machine learning.
Knowledge of IT architecture.
Experience programming in Python.
Preferably, experience with PySpark and technologies such as Git and Azure.
Experience in the KYC, CDD, or AML domain is beneficial.
Located in the Netherlands.
An entrepreneurial, proactive, pragmatic, and value-focused mindset.
Ability to communicate effectively with technical and business counterparts.
Ability to work independently and as part of a team with minimal direction.
A sense for business and an understanding of how data science can deliver value.

Benefits

Gross monthly salary of €5,304 to €7,577 based on a 36-hour work week, including holiday allowance and a flexible benefits budget.
Excellent pension scheme.
Flexible home working in consultation with the team and depending on the role.
Ergonomic home office setup.
Five weeks of vacation per year, plus two mandatory days off.
Option to purchase up to four additional weeks of vacation annually.
Five additional days off for personal development or volunteer work.
Annual personal development budget of €1,000, accumulating up to €3,000.
Annual public transport pass providing free public transportation throughout the Netherlands for business and private use.