Summary
The future of credit analysis starts with you
Start Date: October 2026
Location: Frankfurt am Main/Berlin, Germany
Duration: 12 months
Join Scope’s 12-month Graduate Programme.
Our Graduate Programme offers a unique opportunity to build a career within Europe’s leading credit rating agency. Our 12-month Graduate Programme offers a career development opportunity at the intersection of the rating process, data, software engineering and applied AI. Develop broad technical skills, gain deep insight into how ratings are produced, and build a career supporting Scope's data & AI transformation and technology-enabled rating processes. Profit from practical, step-by-step training through on-the-job instruction across Platform Engineering, Data & AI Transformation, and Quantitative Analytics & Modelling (QAM) teams.
Choose growth, choose Scope!
The European rating agency: Be part of a purpose-driven, multicultural company committed to “upgrading the rating industry”.
Small cohort, big impact: Be part of a group of ambitious graduates taking on responsibilities early, work closely with senior technology professionals.
Structured development: Take part in internal and external workshops, technical seminars, and interactive training to sharpen skills.
Start your career: Successful graduates continue their professional development within the organisation and take the next step in their careers across Platform Engineering, Data & AI Transformation or QAM.
A culture that drives growth: Thrive in a collaborative, international environment which nurtures curiosity and ambition.
Duties & responsibilities
Immersing graduates in the credit-rating process
- Rotation through teams: Hands-on experience across two engineering teams following a defined rotation path
- Track 1: Platform Engineering & Quantitative analytics and modeling.
- Track 2: Data and AI team & Platform Engineering.
- Learn the ratings process and pain points: Understand how Scope produces ratings, the agency's database architecture, tech stack and coding environment, and how data models, analytical models and workflows are organized.
- Data Products & Data Quality: Gain hands-on exposure to data foundations, governance, scalable data products, semantic layers, ETL pipelines, vector databases and knowledge graphs at an appropriate junior level — supporting data-inventory and data-quality checks, ingestion pipelines from raw to production-ready, dashboards and validation routines.
- Automation & Platform Engineering: Support automation of recurring analytical and operational tasks, contribute to key MDM modules, help build and improve data infrastructure, and document workflows between business users, data teams and platform engineering.
- Financial Statistical Models: Learn how statistical models of credit risk really work, from Monte Carlo simulation to cashflow waterfalls, and how to turn them into clean, tested, production-grade Python code.
- AI literacy & responsible use: Complete relevant training on foundational knowledge in AI and generative AI, data ethics, software engineering fundamentals, and the full AI project lifecycle.
- Tools & use cases: Test AI and non-AI assisted tools and models for traceability, usability and output quality. Support feedback collection from analytical teams on existing and new use cases.
- Capstone project: Deliver one practical project — small enough to complete within the program, but relevant enough to demonstrate business impact — presented to Data & AI Transformation, Platform Engineering, QAM and relevant business stakeholders.
Professional & personal qualifications
- Master’s degree (completed or near completion in Computer Science, Data Science, Engineering, Mathematics, Physics
- Experience with Python, SQL. Exposure to cloud, AI/ML or data engineering is a strong plus
- Strong analytical thinking, technical curiosity, and the ability to translate business needs into practical technology solutions
- Eagerness to learn and thrive in a stimulating, high-performance environment
- A proactive attitude and collaborative mindset, with a genuine willingness to contribute to team goals and learn from colleagues
- Excellent English skills (our working language) another European language is an asset
- Previous work or internship experience in related fields is a plus