Senior Fraud Data Scientist
Il y a 5 heures
Arrondissement of BrusselsCapital, Brussels, Belgique
Ports North
Temps plein
Gratuit avec email ou Google
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Gratuit avec email ou Google
ph3bSenior Fraud Data Scientist
- Contract (Brussels, hybrid ~50% on-site) /b /h3pA leading European bank is scaling its AI Tribe and looking for a bSenior Data Scientist who lives and breathes fraud detection /b. /ppThis is a hands-on role building the models that stop financial crime before it happens
- combining bmachine learning, graph analytics, anomaly detection and behavioural analytics /b on large-scale transactional data. /ph3bYou'll be: /b /h3ulliDesigning and continuously improving fraud detection models /liliTurning huge volumes of transactional data into actionable fraud intelligence /liliUncovering new attack vectors and building detection strategies with Fraud, Risk Compliance teams /li /ulh3bYou'll bring: /b /h3ulli5+ yrs in data science, ideally in financial services / fraud /liliStrong Python (Pandas), SQL, Spark/Hadoop /liliSupervised unsupervised ML, anomaly detection, graph/network analysis /liliFluent English (no Dutch/French required) /li /ulpBrussels-based, ~50% on-site. Open to all nationalities with the right to work in Belgium
- relocation candidates welcome. /ppLong-term contract engagement. Rate is driven by skillset, not a rigid band
- so if you're exceptional, let's talk. /p /p
- Contract (Brussels, hybrid ~50% on-site) /b /h3pA leading European bank is scaling its AI Tribe and looking for a bSenior Data Scientist who lives and breathes fraud detection /b. /ppThis is a hands-on role building the models that stop financial crime before it happens
- combining bmachine learning, graph analytics, anomaly detection and behavioural analytics /b on large-scale transactional data. /ph3bYou'll be: /b /h3ulliDesigning and continuously improving fraud detection models /liliTurning huge volumes of transactional data into actionable fraud intelligence /liliUncovering new attack vectors and building detection strategies with Fraud, Risk Compliance teams /li /ulh3bYou'll bring: /b /h3ulli5+ yrs in data science, ideally in financial services / fraud /liliStrong Python (Pandas), SQL, Spark/Hadoop /liliSupervised unsupervised ML, anomaly detection, graph/network analysis /liliFluent English (no Dutch/French required) /li /ulpBrussels-based, ~50% on-site. Open to all nationalities with the right to work in Belgium
- relocation candidates welcome. /ppLong-term contract engagement. Rate is driven by skillset, not a rigid band
- so if you're exceptional, let's talk. /p /p