CEPRES

Associate / Senior Associate - Data Governance (f/m/x)

CEPRESLocation Not Available

Stellenbeschreibung:

Job Description

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, Heidelberg, and several locations in the 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.

Role Overview

This is a key role supporting the development, quality, and scalability of CEPRES' Data Value Chain and Market Intelligence offering. The position combines private market financial expertise, data ownership, and technology‑driven execution, with a strong focus on data governance, product support, and operational excellence across the market data lifecycle. The role requires close collaboration with Product, Engineering, Data, and commercial stakeholders and plays an essential part in ensuring CEPRES data flow, market data and derived products meet the highest standards of accuracy, transparency, and usability.

Expected Responsibilities and Activities Include

1) Market Data & Data Flow Ownership

  • Act as a subject matter expert (SME) for CEPRES market data and the end‑to‑end market data value chain.
  • Own and monitor the full data flow at CEPRES, from initial data ingestion through processing, validation, storage, and downstream consumption in products and reporting.
  • Design, implement, and maintain data monitoring and control mechanisms to ensure transparency, traceability, and timely issue detection.
  • Identify operational gaps across the data lifecycle and work with internal stakeholders to close gaps and strengthen data flow reliability.

2) Data Governance & Data Quality Management

  • Drive market data governance, including defined ownership, standards, and maintenance routines.
  • Monitor all market data contributors to ensure timely and complete updates and additions in line with agreed governance standards.
  • Proactively investigate data anomalies and inconsistencies, conduct root‑cause analysis, and coordinate remediation across relevant teams.
  • Ensure data monitoring is in place to support both managerial oversight and immediate operational action when issues arise.

3) Market Data Derived Products Support

  • Ensure all market data‑derived products are continuously maintained with fresh, comprehensive, and reliable data.
  • Monitor data coverage, quality, and consistency to safeguard stable and high‑quality client‑facing market insights.
  • Partner with Product and commercial teams to prioritize improvements aligned with business and product needs.

4) Product Design & Implementation Support (Data SME)

  • Serve as data SME for Market Intelligence and market‑derived products across product design, enhancement, and implementation phases.
  • Provide structured input on data feasibility, interpretation, mapping, and edge cases to Product and Engineering teams.
  • Translate market requirements and user needs into clear data definitions and validation logic.

5) Workflow Optimization & Efficiency Enhancement

  • Ensure that market data flows into CEPRES' Market Database are efficient, transparent, and not blocked.
  • Design and implement workflow improvements, including standardization, automation, and enhanced monitoring where appropriate.
  • Leverage AI‑based productivity tools (e.g. Copilot, Gemini, Claude) to improve efficiency, reduce manual effort, and increase operational scalability.

Requirements

Required Background & Experience

  • Solid working knowledge of corporate finance, preferably with exposure to private market investments (e.g. private equity, private debt, real assets).
  • Proven experience handling large and complex datasets and working in analytical or data‑driven environments.
  • Hands‑on experience with SQL and Power BI for data analysis, validation, and reporting.
  • Practical experience applying AI tools to improve workflow efficiency and analytical productivity.

Preferred Qualifications

  • Experience with data governance, data quality frameworks, or lifecycle monitoring.
  • Familiarity with analytical data models, ETL/ELT concepts, or large‑scale data platforms.
  • Experience working cross‑functionally in product‑driven or technology‑enabled environments.

Benefits

  • Career Path in Private Equity Step into one of the most in‑demand and exciting industries in finance today. With us, you'll experience unparalleled opportunities for career growth and promotions, receive regular feedback, and benefit from mentorship provided by an international team of passionate experts. Be part of a unique growth story and take on an exciting, challenging role in a dynamic global environment.
  • Culture That Drives Success We are powered by core values that foster an entrepreneurial spirit, drive results, and empower ownership. At our company, collaboration and mutual support are at the heart of everything we do. Transparency in company goals ensures you're always part of the bigger picture.
  • Commitment to Our People We care deeply about our team, offering outstanding benefits and opportunities to thrive in a diverse, inclusive, and international workplace.
  • Compensation of attractive package that reflects your skills, contributions, and growth potential.

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.

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Stelleninformationen

  • Veröffentlichungsdatum:

    01 Mai 2026
  • Standort:

    Einsatzort:

    Grasbrunn, Bavaria, Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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