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About the Role
Solaris is Europe’s leading embedded finance platform, pioneering Banking-as-a-Service. We are fundamentally redesigning banking processes around AI orchestration, standardized modular building blocks, and embedded regulatory compliance. We combine tech and banking in dedicated hubs, driving the technology infrastructure out of Berlin and banking operations out of Frankfurt. Through internal mobility, growth opportunities, and the Solaris Academy, we offer continuous learning tracks, AI ambassador mentorship, and upskilling.
Responsibilities
- Development, operationalization, and maintenance of Machine Learning models for risk and financial protection (Fraud Protection, Compliance & AML).
- Training data preparation, including analysis of transactional logs, data labeling, and handling class imbalances.
- Feature engineering, including building a centralized feature store.
- Model selection, experimentation, training, and evaluation.
- Model deployment and prediction servicing from batch to online.
- Setting up automated pipelines for continual learning, monitoring population drift, and re-fitting models.
- Knowledge sharing and mentoring across the team.
Requirements
- Degree in Computer Science, Applied Mathematics, Statistics, Quantitative Finance, or Financial Engineering.
- Minimum 6 years of experience as a data scientist in a fast-paced, regulated industry.
- Proficiency in data science libraries (pandas, polars, numpy, scikit-learn) and gradient boosting frameworks (XGBoost).
- Advanced SQL skills (window functions, query optimization).
- Hands-on experience in analytical platforms (ideally Snowflake using Snowpark).
- Experience with centralized feature platforms (e.g., Snowflake Feature Store, Feast, Tecton).
- Good knowledge of data transformation and orchestration tools (ideally dbt and airflow).
- Solid understanding of software engineering principles (Git, CI/CD, automated testing).
- Payment, Fraud, and Risk Domain Expertise, including understanding transaction movements, payment payloads, authentication protocols, typologies, anomalies, chargeback/dispute cycles, velocity features, device dynamics, entity profiling, and financial/regulatory guardrails.
- Excellent English language skills; German language skills are preferable.
- Very strong communication skills, able to explain complex statistical outputs to non-technical stakeholders.
- Ability to grasp new business concepts and translate them into technical requirements.
- Crisis communication skills under pressure.
- Adaptability and continuous learning.
- Adversarial & Skeptical mindset.
- Ability to mentor and inspire team members.
- Comfortable working with AI tools, thinking critically about AI outputs, and contributing to responsible AI use.
- Pre-employment background checks are required.
Skills
- Machine Learning
- Data Science
- Fraud Protection
- Compliance
- AML
- Data Preparation
- Data Labeling
- Feature Engineering
- Feature Store
- Model Selection
- Model Training
- Model Deployment
- Automated Pipelines
- Data Orchestration
- SQL
- Snowflake
- Snowpark
- dbt
- Airflow
- Git
- CI/CD
- Automated Testing
- Payment Domain Expertise
- Fraud Domain Expertise
- Risk Domain Expertise
- AI Tools
Location
- Berlin
- Frankfurt
Work Type
- Full-time
- Hybrid
Experience Level
- Minimum 6 years experience
Education Level
- Degree in Computer Science, Applied Mathematics, Statistics, Quantitative Finance, or Financial Engineering
Salary/Compensations
- €80.000—€100.000 EUR
Benefits
- Home office budget
- Learning & development budget of €1000 per year
- Transparent growth framework
- Competitive salary
- Variable remuneration program
- Monthly meal allowance
- Deutschland ticket subsidy
- 28 vacation days (increasing with tenure)
- Opportunity to work abroad for up to 12 weeks per year
About the Company
- 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 infrastructure.
- Solaris is driving the next evolution of financial services by transitioning into an AI-native banking platform, ensuring European businesses can deploy secure, adaptable financial products at scale.
Equal Opportunity
- At Solaris, we are committed to nurturing an inclusive environment, where all Solarians feel valued, respected and supported.
- We are dedicated to building a diverse workforce that reflects the diversity of our communities.
- We are committed to equal employment opportunity regardless of color, ethnicity, religion, sex, origin, disability, marital status, citizenship, or gender identity.
- We are proud to be an equal opportunity workplace.
- If you have a disability or special need that requires accommodation, please let us know.