INTERNSHIP DETAILS

Credit Risk Analytics Working Student

CompanySolaris
LocationBerlin
Work ModeOn Site
PostedApril 30, 2026
Internship Information
Core Responsibilities
Support the Credit Analytics team in monitoring and reporting on credit portfolio performance and risk management processes. Collaborate with stakeholders to build data marts and develop credit risk models using complex datasets.
Internship Type
full time
Company Size
611
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Solaris is Europe's leading embedded finance platform. Solaris’ proprietary modular B2B tech stack empowers its partners – from SMEs to large multinational non-financial companies – to offer unique, customer-centric banking services. Providing seamless experiences to customers across all industries. Founded in 2015, Solaris pioneered the Banking-as-a-Service market with an unparalleled combination of tech and banking.
About the Role

Solaris is Europe's leading embedded finance platform. Solaris’ full German banking license and proprietary modular B2B tech stack empowers its partners – from SMEs to large, multinational, non-financial companies – to offer compliant, customer-centric banking services, providing seamless experiences to customers across all industries. Founded in 2016, Solaris pioneered the Banking-as-a-Service market with an unparalleled combination of tech and banking. Solaris is headquartered in Berlin and employs 300 people in Europe.

Your Role

  • Support Credit Analytics team in monitoring and reporting on Solaris
    • Credit Portfolio
    • Credit Risk Management processes and performance indicators
  • Support
    • credit risk modeling (scorecards)
    • Portfolio analytics (Position and Risk evolution)
  • Curate and analyze large complex ambiguous data tests
  • Build new data marts/cubes
  • Collaborate and communicate with various stakeholders 

We'd love to see 

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.

  • You have hands-on SQL, Python, and Excel skills
  • You have knowledge of machine learning techniques such as Logistic Regression, Decision Trees, Random Forest, Gradient boosting, etc
  • You have solid understanding of trade offs in model building, performance metrics, and previous experience building models
  • You are very accurate, well organized and reliable. 
  • You work independently on aligned tasks with a pro-active attitude to drive your work forward.
  • You are open for constructive feedback.

Nice to Have:

  • First experience in business analytics
  • Understanding and experience of managing business problems using financial modeling
  • Base knowledge of financial services is a plus
  • German language skills is a strong advantage 

Benefits 

  • Transparent framework to support your career goals
  • Lunch reimbursement
  • Mental health support via Thrive
  • Flexible working model 

While job ads usually paint an ideal picture of a candidate, studies show that most applicants meet an average of 60% of the criteria. Unfortunately, many promising candidates tend to apply only if they meet all the criteria. So if you think you have what it takes, but don't necessarily meet every single item in the job description, please contact us anyway. We'd love to talk with you and find out if you might be a good fit for us.

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.

If your application is successful, you will be required to complete pre-employment background checks through our screening provider Zinc. These include, but not limited to identity verification, educational records, references, a criminal record check, etc. The processing is based on Art. 6(1)(c) GDPR. Please see below Privacy Information for Job Applicants for details, including recipients, retention, and your rights.

Information on data processing:


DE: https://www.solarisgroup.com/gdpr_notice_de
EN: https://www.solarisgroup.com/gdpr_notice_en

 

Key Skills
SQLPythonExcelLogistic RegressionDecision TreesRandom ForestGradient BoostingCredit Risk ModelingPortfolio AnalyticsData AnalysisFinancial ModelingBusiness AnalyticsRisk ManagementData MartsStakeholder Management
Categories
Data & AnalyticsFinance & AccountingTechnologySoftware
Benefits
Lunch reimbursementMental health supportFlexible working model