Senior Fraud Data Scientist

Ports North

Brussel, Belgium

10 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Languages

Dutch, English, French

Job source

www.collegerecruiter.com

Tech stack

Network Analysis Fraud Prevention and Detection

Requirements

5+ yrs in data science, ideally in financial services / fraud
Strong Python (Pandas), SQL, Spark/Hadoop
Supervised & unsupervised ML, anomaly detection, graph/network analysis
Fluent English (no Dutch/French required)

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:18 min

Detecting answering machines and preventing automated voice fraud

Marius Obert · Coffee With Developers

9:31 min

Applying social network analysis to map multiplayer relationship structures

Johanna Pirker · World Congress 2021

50 sec

Identifying real-world applications for stream processing technology usage

Soroosh Khodami · World Congress 2024

5:39 min

Two-step fraud detection with rules and machine learning

Doraly Chezeu Sukem +1 · World Congress 2024

1:30 min

Using social network topology for bot detection

Martin Förtsch +1 · World Congress 2024

2:20 min

High-speed data use cases in financial services

Tim Faulkes · LIVE

Videos

See all

Unleashing the power of AI to prevent financial crime thumbnail

29:40

World Congress 2024 • about 2 years ago

Unleashing the power of AI to prevent financial crime

Doraly Chezeu Sukem, Esha Agrawal

43:30

World Congress 2021 • about 5 years ago

How Data is Shaping our Games

Johanna Pirker

Speech-to-Speech AI models - Marius Obert thumbnail

9:43

Coffee With Developers • 3 months ago

Speech-to-Speech AI models - Marius Obert

Marius Obert

Detecting Money Laundering with AI thumbnail

29:37

LIVE • over 5 years ago

Detecting Money Laundering with AI

Stefan Donsa, Lukas Alber

The New Financial Stack: AI, Agents and Trust thumbnail

28:29

World Congress 2026 Europe • 2 months ago

The New Financial Stack: AI, Agents and Trust

Annabella Bassler, Daniele Tonella, Peter Bakenecker, Klaus Fiala

Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base thumbnail

22:06

LIVE • over 6 years ago

Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base

Lukas Kölbl