Financial Risk/Fraud/Compliance

Senior Data Scientist

Solaris · Solaris SE

CORE_AI_JOBgreenhouse2026-09-10

Machine Learning Data Science MLOps Feature Engineering Model Deployment Data Modeling Data Analysis Python SQL XGBoost Snowflake dbt

Warum echter KI-Job:
The role explicitly focuses on the development, operationalization, and maintenance of machine learning models for critical financial applications (fraud, compliance, AML). The job description details specific ML tasks like data preparation, feature engineering, model selection, deployment, and monitoring. Strong emphasis on MLOps practices and a centralized feature store. The company is explicitly transitioning to an 'AI-native' platform.

Auszug

Solaris is Europe’s leading embedded finance platform, pioneering Banking-as-a-Service to bridge the gap between financial technology and licensed banking. Founded in 2016 and headquartered in Berlin, Solaris enables fintechs, digital ecosystems, and multinationals to embed accounts, cards, lending, and payments directly into their own products, creating seamless financial experiences for their users. As a fully licensed German bank, Solaris combines the highest standards of IT security and regulatory resilience with a modular, highly scalable infrastru…

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