Senior Data Scientist Fraud Detection

Summ.link BV; Brussel; On-site; EUR 70,000 - 120,000; Full time

Job summary

Summ.link BV is seeking a Senior Data Scientist for Fraud Detection to design and optimize AI-driven fraud solutions. You will work with a multidisciplinary team to translate complex financial crime challenges into scalable models and analytics, driving improvements in detection and operational efficiency.

The role emphasizes production-grade ML, data exploration, and proactive fraud strategy development within a dynamic financial AI environment.

Qualifications

• 7+ years of experience in Data Science.
• Proven experience in fraud detection, risk analytics, financial crime, or related domains.
• Strong programming skills in Python and SQL.
• Experience with Spark, Hadoop, or distributed data processing environments.
• Strong background in machine learning and advanced statistics.
• Experience with anomaly detection, graph analytics, network analysis, or behavioral analytics.
• Experience deploying and maintaining AI solutions in production.
• Master's degree in a quantitative field.
• Strong communication skills with technical and business stakeholders.

Responsibilities

• Design, develop, and continuously improve fraud detection models.
• Analyze large volumes of transactional and customer data to uncover fraud patterns.
• Apply machine learning, anomaly detection, graph analytics, and behavioral analytics techniques.
• Perform feature engineering, data enrichment, and data preparation to maximize model performance.
• Investigate new fraud schemes and proactively develop detection strategies.
• Collaborate with Fraud Operations, Risk, Compliance, and Product teams.
• Translate business challenges into scalable analytical and AI-driven solutions.
• Monitor, evaluate, and optimize model performance.
• Contribute to growth of AI-driven decision-making in the organization.

Skills

Python

SQL

Spark

Hadoop

Machine Learning

Anomaly detection

Graph analytics

Behavioral analytics

Production deployment

Communication

Education

Master's degree in Computer Science/Statistics/Engineering/Mathematics

Tools

Spark

Hadoop

Job description

Make the unknown, known!

Are you a Senior Data Scientist with a strong entrepreneurial mindset?

You're not the kind of Data Scientist who only builds models. You want to solve real-world problems, uncover patterns others miss, and use AI to fight financial crime. For a large AI organization within the financial sector, we are looking for an experienced Senior Data Scientist Fraud Detection who wants to play a key role in developing advanced fraud detection models. You'll join a multidisciplinary team of AI specialists, Data Scientists, and Machine Learning Engineers working on innovative AI solutions that improve both customer experiences and internal operations.

What will you do?

• Design, develop, and continuously improve fraud detection models.
• Analyze large volumes of transactional and customer data to uncover fraud patterns and emerging threats.
• Apply machine learning, anomaly detection, graph analytics, and behavioral analytics techniques.
• Perform feature engineering, data enrichment, and data preparation to maximize model performance.
• Investigate new fraud schemes and proactively develop detection strategies.
• Collaborate closely with Fraud Operations, Risk, Compliance, and Product teams.
• Translate business challenges into scalable analytical and AI-driven solutions.
• Monitor, evaluate, and continuously optimize model performance.
• Contribute to the growth of AI-driven decision-making within the organization.

Requirements

• Minimum 7 years of experience in Data Science.
• Proven experience in fraud detection, risk analytics, financial crime, or related analytical domains.
• Strong programming skills in Python and SQL.
• Experience with Spark, Hadoop, or distributed data processing environments.
• Strong background in machine learning and advanced statistical methods.
• Experience with anomaly detection, graph analytics, network analysis, or behavioral analytics is highly valued.
• Experience deploying and maintaining AI solutions in production environments.
• Master's degree in Computer Science, Statistics, Engineering, Mathematics, or another quantitative field.
• Strong communication skills and ability to engage with both technical and business stakeholders.
• Fluent in Dutch, French, and English.

This role is probably for you if...

• You enjoy tackling problems with real financial and societal impact.
• You view machine learning as a means to solve business challenges, not as an end goal.
• You are naturally curious about emerging fraud techniques and innovative detection methods.
• You thrive in complex analytical environments.
• You enjoy collaborating with both technical experts and business teams.
• You want to contribute to one of the most innovative AI organizations in the financial sector.

Bonus points if you have experience with Graph Analytics, Network Analysis, Generative AI, Fraud Analytics, or Financial Crime Detection.