Senior Data Scientist, Solaris
€80-100k
Banking-as-a-Service platform
Posted today
Banking-as-a-Service platform
501-1000 employees
Posted today
€80-100k
501-1000 employees
Company mission
To create a world where financial services seamlessly sync with life.
Role
Who you are
- Depending on your level of experience, your responsibilities and scope of role will range. We don’t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let’s figure together out how you can contribute to our team
- Degree in Computer Science, Applied Mathematics, Statistics, Quantitive Finance and targeted Financial Engineering courses
- Minimum 6 years experience in a role of data scientist in a fast pace environment and regulated industry
- Proficiency in data science libraries (pandas, polars, numpy, scikit-learn) and gradient boosting frameworks (XGBoost)
- Advanced SQL skills (window functions, query optimisation) and hands on experience in analytical platforms (ideally Snowflake by utilising snowpark)
- Experience working with centralized feature platforms (e.g., Snowflake Feature Store, Feast, Tecton) to prevent train-serve skew
- Good knowledge of data transformation and data orchestration tools, ideally dbt and airflow
- Solid understanding of software engineering principles, including version control (Git), CI/CD, and automated testing
- Payment, Fraud and Risk Domain Expertise:
- Understand transactions movement, payment payload and authentication protocols
- Recognize differences in typologies, spotting anomalies and understanding chargeback and dispute cycles
- Velocity Features, Device Dynamics and Entity Profiling
- Financial and Regulatory Guardrails
- Excellent English language skills, and preferable German language skills
- Very strong communication skills, to both technical and non technical members and ability to explain complex statistical outputs to non technical officers
- Ability to grasp new business concepts and translate them into technical requirements
- Crisis communication under pressure in periods of unplanned situations
- 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 a culture of responsible AI use. We expect you to demonstrate comfort with AI-assisted workflows and a willingness to continuously develop their AI capabilities as the technology evolves
What the job involves
- Development, operationalisation and maintenance of Machine Learning models in close collaboration with the business stakeholders for common risk and financial protection with different latency: Fraud Protection, Compliance & AML
- Training data preparation in close collaboration with the analytics engineers including analysis of vast amounts of transactional logs, data labelling, applying chronological splitting and sampling techniques to handle class imbalances
- Feature engineering operations including common features, cross features, positional features and building a centralised feature store
- Model selection, experimentation and training of baseline and gradient boosted models, evaluating performance and trade offs
- Model deployment and prediction servicing from batch to online in close collaboration with the data infrastructure team
- Continual learning by setting up automated pipelines that monitor population drift and continuously re-fit models on fresh data when performance drops below predefined operational baselines
- Knowledge sharing and mentoring across the team
Our take
Many obstacles in place prevent companies from offering their own financial services. Complex and high-cost processes mean that companies find it difficult to build their own banking systems or even apply for a banking license. This can stunt development as it reduces a company's growth and expansion options.
Solaris offers a Banking-as-a-Service platform that allows companies to seamlessly integrate financial services within their existing operations, removing traditional hurdles that companies would have to face. The company differs from the competition through the use of an API for optimal integration. It also holds a full German banking license, granting it an efficient position to deal with any red tape and complex processes, taking this strain away from companies.
Through moves such as its acquisition of MER, as well as many other collaborations, Solaris has paved the way for increased operations across Europe to now offer significant market coverage. In the long run, the company aims to be the core banking service across Europe and a foundational platform through which all companies integrate financial services into their ecosystem.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2025
$162.5m
SERIES G
Mar 2024
$104.5m
SERIES F
Total funding: $755.9m
Company benefits
- Learning & development budget
- Remote working allowance
- Free online yoga
- Referral program
- Mental healthcare service
- Public transport allowance
- Partial lunch reimbursement
- Additional vacation days
- Glasses for laptop work
- Fruits and drinks at the office
- Volunteering days
Company HQ
Wrangelkiez, Berlin, BE
Leadership
Carsten Höltkemeyer
(CEO)Joined Solaris in 2022 as CEO. They are also an Executive Chairman at auxmoney. Previously they were the CFO of Merchant Services at Nets Group. CFO of Concardis Payment Group at Concardis, and a General Manager of Barclaycard Hamburg.
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