🛠 Tech Stack

💼 About This Role

You'll support the Credit Analytics team in monitoring and reporting on Solaris' credit portfolio, and contribute to credit risk modeling with portfolio analytics. You'll curate large datasets and build new data marts for actionable insights. This role offers hands-on exposure to SQL, Python, and machine learning in a real banking environment.

🎯 What You'll Do

• Monitor and report on credit risk management processes
• Support credit risk modeling and scorecard development
• Analyze portfolio position and risk evolution
• Build and maintain data marts and cubes

📋 Requirements

• Hands-on SQL skills for data querying
• Proficient in Python for data analysis
• Knowledge of Machine Learning techniques (logistic regression, decision trees, etc.)
• Experience building predictive models and understanding performance metrics

✨ Nice to Have

• Experience in business analytics
• Knowledge of financial modeling
• German language skills

🎁 Benefits & Perks

• 🎓 Learning Framework for career development
• 🍽️ Lunch Reimbursement
• 🧠 Mental Health Support via Thrive
• 💼 Flexible Working Model

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min