Senior Data Scientist Fraud Detection

Pulse.lab

Brussel Hoofdstad

Sur place

EUR 90 000 - 130 000

Plein temps

Il y a 6 jours
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Résumé du poste

Summ.link is seeking a Senior Data Scientist Fraud Detection to design and deploy advanced fraud detection models for a large AI organization in the financial sector. You will work on analyzing transaction data, applying ML and anomaly detection, and collaborating with Fraud Operations, Risk, and Product teams to reduce financial crime.

The role requires a strong entrepreneurial mindset, 7+ years in Data Science, and fluency in English, Dutch, or French.

Qualifications

  • Minimum 7 years of experience in Data Science or related field.
  • Proven track record in fraud detection, risk analytics, or financial crime.
  • Strong programming skills in Python and SQL.
  • Experience deploying AI solutions in production environments.

Responsabilités

  • Design, develop, and continuously improve fraud detection models.
  • Analyze large volumes of transactional data to uncover fraud patterns.
  • Apply machine learning, anomaly detection, and graph analytics techniques.
  • Perform feature engineering and data preparation to maximize model performance.
  • Investigate new fraud schemes and develop detection strategies.
  • Collaborate with Fraud Operations, Risk, Compliance, and Product teams.

Connaissances

Python
SQL
Machine Learning
Statistical methods
Data analysis

Formation

Master's degree in Computer Science, Statistics, Engineering, Mathematics, or related field

Outils

Spark
Hadoop

Description du poste

Op zoek naar je volgende job of project binnen Data & AI? Dan ben je bij Summ.link aan het juiste adres!

Wie is Summ.link? Wij zijn een dynamisch bedrijf dat zowel Tijd en Materialen (T&M) als projectwerk levert voor bedrijven van elke omvang, van kleine en middelgrote ondernemingen tot grote corporaties. Onze expertise strekt zich uit over een breed scala van diensten, waaronder data platforms (Azure, Databricks, Collibra), DevOps, SecOps, MLOps, AIOps, Data Engineering en Data Science. Ons doel is om unieke waarde te creëren uit data van elke klant!

Om te benadrukken dat onze kennis van Data & AI niet alleen beperkt is tot de projecten die we uitvoeren, maar ook diep geworteld is binnen ons eigen team. Dit geeft ons, als consultants, een uniek en goed onderbouwd inzicht in de markt, de gevraagde profielen, en de freelancers waarmee we samenwerken. Want kennis is power, niet?

Het is onze missie om de perfecte match te maken tussen getalenteerde Data & AI professionals en innovatieve bedrijven. Sterke relaties, gebaseerd op open communicatie, zijn onze kracht. Bij ons ben je een gewaardeerde professional met een uniek verhaal. Laten we samen jouw volgende Data & AI uitdaging vinden!

Make the unknown, known!

Senior Data Scientist Fraud Detection

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 get excited about discovering hidden patterns in complex datasets.
  • 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.

Bij Summ.link staan jouw carrièrewensen centraal. Of je nu vast in dienst bent en je loopbaan een boost wilt geven, of een freelancer bent op zoek naar het perfecte project, wij begrijpen en respecteren jouw unieke behoeften. We bieden flexibele oplossingen aan die écht bij je passen.

Come join the team!

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