Data Scientist - Fraud - HQ Brussels

BNP Paribas Fortis SA/NV
Brussel, Belgium
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English, French
Job source

Tech stack

Artificial Intelligence Data Analysis Big Data Network Analysis Computer Programming Information Engineering Fraud Prevention and Detection Python (Programming Language) Machine Learning Software Construction Feature Engineering Large Language Models
+6 more
Deep Learning Model Validation Generative AI Information Technology Performance Monitor Unsupervised Learning

Job description

As a Data Scientist specialized in Fraud Detection, you’ll design, build, and deploy AI solutions to help protect our bank and customers from evolving fraud threats. You’ll work within our AI Tribe and collaborate with Fraud Operations, Risk, and Compliance teams to transform data into actionable fraud prevention and detection capabilities.

What You’ll Do

  • Develop and enhance fraud detection models using machine learning, anomaly detection, behavioral analytics, and graph analytics.
  • Analyze large-scale transactional and behavioral data to uncover suspicious patterns and emerging fraud schemes.
  • Engineer features, enrich datasets, and apply a data-centric and error-analysis approach to continuously improve model performance.
  • Partner with cross-functional teams to translate business needs into scalable AI solutions.
  • Investigate complex fraud cases, identify emerging attack vectors, and proactively mitigate risks.
  • Leverage advanced AI techniques (traditional machine learning and also LLMs and Generative AI), to support fraud investigations and strengthen fraud prevention capabilities.
  • Stay ahead of AI and fraud trends to continuously enhance our detection and prevention strategies

Requirements

  • Master’s in Statistics, Computer Science, Data Science, or related field (PhD a plus).
  • 3+ years in Data Science, preferably in financial services/fraud detection.
  • Experience with fraud analytics, AML, or financial crime prevention.

Technical Skills

  • Data-Centric AI & Data Engineering: Data collection, labeling, curation, enrichment, feature engineering, data quality, feedback, and large-scale data processing.
  • AI & Fraud Analytics:
  • Machine Learning: Supervised and unsupervised learning for anomaly and fraud detection, model evaluation, performance monitoring, and error analysis.
  • Advanced Analytics: Graph analytics, network analytics, behavioral analytics, and financial crime analytics.
  • Generative AI & Foundation Models: LLMs, RAG, AI agents, deep learning , transactional model and AI-driven fraud prevention solutions.
  • Programming & AI Engineering: Advanced Python, software engineering best practices, AI application development and deployment, monitoring, and end-to-end AI lifecycle management.

Soft Skills

  • Analytical, proactive, and results-driven.
  • Strong communicator who thrives in multidisciplinary teams.
  • Comfortable in an international, fast-paced environment.

Languages

  • Fluent English + Dutch or French (professional level).

About the company

We strongly believe in the positive impact that the financial sector can have on the world. BNP Paribas Fortis offers sustainable and responsible investment products and solutions and encourages social entrepreneurship. Together with our customers, we are working towards a better future every day.

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