RiskShield Data Scientist

afarax
Brussels, Belgium
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Dutch, French
Experience level
Senior

Job location

Brussels, Belgium

Tech stack

Data analysis
Authentication Protocols
Big Data
Databases
Online Banking
Fraud Prevention and Detection
Python
Machine Learning
SQL Databases
Event Driven Architecture
Customer Identity Access Management
Information Technology

Job description

  • Collaborate with Fraud Detection experts to continuously improve fraud prevention strategies.
  • Develop, optimize, and maintain fraud detection models and RiskShield rules.
  • Analyze large datasets to identify emerging fraud patterns and recommend new detection strategies.
  • Leverage newly available data sources to enhance fraud detection performance.
  • Define, specify, and document additional data requirements where needed.
  • Monitor the effectiveness of fraud detection models and continuously improve their accuracy.
  • Work with business and technical stakeholders to translate fraud risks into analytical solutions.
  • Contribute to the evolution of real-time fraud detection capabilities.

Requirements

  • 5+ years of experience as a Data Scientist, preferably within large-scale or Big Data environments.
  • Proven hands-on experience with RiskShield (Client and Server).

Strong knowledge of fraud detection in:

  • Payment transactions
  • Online Banking
  • Card Payments

Good understanding of modern payment security technologies including:

  • Strong Customer Authentication (SCA)

  • Wero

  • itsme®

  • PSD2-related authentication mechanisms

  • Experience with SQL, Python, BI tools, and data analysis frameworks.

  • Familiarity with real-time transaction processing systems and in-memory databases is considered a strong asset.

Functional Skills

  • Strong analytical and problem-solving abilities.
  • Ability to prioritize work effectively in a dynamic environment.
  • Experience working with multiple business and technical stakeholders.
  • Excellent communication skills.
  • Ability to explain complex analytical concepts to non-technical audiences.

Education

  • Master's degree in Computer Science, Data Science, Information Technology, Mathematics, Statistics, Engineering, or a related field.

Languages

  • Professional proficiency in English.
  • Good knowledge of Dutch or French (knowledge of both is an asset).

Nice to Have

  • Experience within the banking or financial services sector.
  • Knowledge of machine learning techniques applied to fraud detection.
  • Experience with real-time decision engines and event-driven architectures.
  • Familiarity with payment ecosystems and financial regulations (PSD2, AML, etc.).

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