Dein persönlicher KI-Karriere-Agent
Senior Data Scientist(m/w/x)
Building ML models for AML transaction monitoring at a global fintech empowering 4M+ small businesses. Unsupervised ML and production-grade workflow experience required. 28 days paid leave plus public holidays, €2,000 annual L&D budget.
Anforderungen
- Strong Python skills
- Hands-on data engineering experience
- Building reliable, production-grade ML workflows
- Feature engineering experience
- Unsupervised machine learning experience
- Translating domain knowledge into model behaviours
- Translating domain knowledge into alerting logic
- Productionalising ML applications
- Operating end-to-end pipelines
- Pipeline monitoring
- Pipeline versioning
- Pipeline rollback in regulated environments
- Working across complex data ecosystems
- Attention to data quality
- Attention to data lineage
- Attention to data root-cause analysis
- Clear communication skills
- Aligning cross-functional stakeholders
- Setting stakeholder expectations
- Turning ambiguous compliance needs into technical plans
- Willingness to learn and develop career
Aufgaben
- Build and maintain ML models for AML transaction monitoring
- Improve detection quality and operational efficiency
- Ensure regulatory compliance in 37 markets
- Engineer features for AML typologies and suspicious behaviors
- Collaborate with AML investigators to translate domain knowledge
- Run sensitivity tests on synthetic datasets
- Produce ML governance artifacts and audit-ready documentation
- Own and evolve the AML Risk Score
- Analyze driver contributions and monitor drift
- Run back-testing and recommend improvements
- Partner with AML Operations, Product, and Engineering
- Translate stakeholder needs into scalable data science solutions
- Track and improve detection performance metrics
- Adapt solutions to regional compliance requirements
- Contribute to system design documentation
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- ML workflows
Benefits
Attraktive Vergütung
- Virtual stock option program
Weiterbildungsangebote
- Annual L&D budget of €2,000
Betriebliche Altersvorsorge
- Corporate pension scheme with 20% match
Mehr Urlaubstage
- 28 days paid leave plus public holidays
- Special leave days
Gesundheits- & Fitnessangebote
- Urban Sports Club subsidy
Kinderbetreuung
- Kita placement assistance
Gratis oder Vergünstigte Mahlzeiten
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Boni & Prämien
- Referral bonus
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Senior Data Scientist(m/w/x)
Building ML models for AML transaction monitoring at a global fintech empowering 4M+ small businesses. Unsupervised ML and production-grade workflow experience required. 28 days paid leave plus public holidays, €2,000 annual L&D budget.
Anforderungen
- Strong Python skills
- Hands-on data engineering experience
- Building reliable, production-grade ML workflows
- Feature engineering experience
- Unsupervised machine learning experience
- Translating domain knowledge into model behaviours
- Translating domain knowledge into alerting logic
- Productionalising ML applications
- Operating end-to-end pipelines
- Pipeline monitoring
- Pipeline versioning
- Pipeline rollback in regulated environments
- Working across complex data ecosystems
- Attention to data quality
- Attention to data lineage
- Attention to data root-cause analysis
- Clear communication skills
- Aligning cross-functional stakeholders
- Setting stakeholder expectations
- Turning ambiguous compliance needs into technical plans
- Willingness to learn and develop career
Aufgaben
- Build and maintain ML models for AML transaction monitoring
- Improve detection quality and operational efficiency
- Ensure regulatory compliance in 37 markets
- Engineer features for AML typologies and suspicious behaviors
- Collaborate with AML investigators to translate domain knowledge
- Run sensitivity tests on synthetic datasets
- Produce ML governance artifacts and audit-ready documentation
- Own and evolve the AML Risk Score
- Analyze driver contributions and monitor drift
- Run back-testing and recommend improvements
- Partner with AML Operations, Product, and Engineering
- Translate stakeholder needs into scalable data science solutions
- Track and improve detection performance metrics
- Adapt solutions to regional compliance requirements
- Contribute to system design documentation
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- ML workflows
Benefits
Attraktive Vergütung
- Virtual stock option program
Weiterbildungsangebote
- Annual L&D budget of €2,000
Betriebliche Altersvorsorge
- Corporate pension scheme with 20% match
Mehr Urlaubstage
- 28 days paid leave plus public holidays
- Special leave days
Gesundheits- & Fitnessangebote
- Urban Sports Club subsidy
Kinderbetreuung
- Kita placement assistance
Gratis oder Vergünstigte Mahlzeiten
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Boni & Prämien
- Referral bonus
Über das Unternehmen
SumUp
Branche
FinancialServices
Beschreibung
The company is a leading global fintech company committed to leveling the playing field for small businesses.
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