Data Processing Intern
Summary
Intern supports data ingestion, cleansing, and validation for a fintech platform serving institutional investors, using SQL and basic scripting.
CEPRES is the leading and fastest growing digital investment platform for private capital markets, an institutional asset class which became very relevant in global investment portfolios of sovereign wealth fund, insurances, pension plans and others. This global institutional client base benefit from our award-winning investment solutions for their investment activities while we connect via the CEPRES platform thousands of professionals to the largest private investment network worldwide.
CEPRES GmbH / Corp is headquartered in Munich and New York, with additional offices in Denver, Chicago, London, Heidelberg, Singapore and several locations in middle east. Our team is incredibly diverse with over 20 nationalities globally. We value smart and innovative people who also work effectively in a team environment and who are global players.
Key Responsibilities:
- Support ingestion and basic cleansing of structured data sets from internal and external sources.
- Assist with data entry, validation checks, and quality reviews under analyst supervision.
- Help document data flows, processing steps, and system configurations.
- Run predefined queries and scripts to extract data as instructed.
- Participate in requirements-gathering sessions and take meeting notes.
- Flag anomalies or inconsistencies in data to senior team members.
Requirements
- Pursuing or recently completed a degree in Computer Science, Information Systems, Business Informatics, Mathematics, or a related field.
- Foundational understanding of relational databases (e.g., what a table, row, column, and primary key are).
- Basic familiarity with SQL — ability to write simple SELECT statements.
- Exposure to at least one software environment (e.g., Excel, Python basics, or any scripting tool).
- Ability to create and use agents/ skills on Claude, Gemini, CoPilot etc.
- Ability to follow written technical specifications and process documentation.
- Willingness to learn and ask questions in a structured work environment and “can do” attitude.
Nice to Have
- Introductory knowledge of data quality or data governance concepts.
- Familiarity with version control basics (e.g., Git).
- Prior coursework or project work involving data pipelines or ETL concepts.
Benefits
- Hands-on exposure to real financial data processing workflows.
- Mentoring from experienced data analysts and engineers.
- Structured onboarding and a clear learning path.
- Potential for conversion to a full-time Analyst role based on performance
At CEPRES, we're committed to creating an inclusive environment for all. We celebrate diversity and encourage applicants from all backgrounds, experiences, and perspectives to apply.