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.

We are seeking a
Private Equity Data Associate / Senior
Associate
to join our Data Strategy team.

This role is ideal for candidates with strong private
markets knowledge who enjoy working at the intersection of finance, data,
technology, and client engagement. You will help institutional investors and
fund managers structure, analyze, validate, and visualize investment data while
contributing to the evolution of CEPRES' data and analytics capabilities.

Key Responsibilities

1. 
   Private Markets Data & Analytics

• 
  Analyze and validate Private Equity, Private Debt, Real Estate, and Infrastructure investment data.
• 
  Review fund cash flows, NAVs, portfolio company metrics, and performance measures, including IRR, TVPI, DPI, and MOIC.
• 
  Support data quality, taxonomy, and reporting framework development.
• 
  Investigate and resolve complex data issues and client queries.

2. 
   Client Management & Delivery

• 
  Act as a key contact for institutional investors and GP relationships.
• 
  Lead discussions around data requirements, onboarding, reporting, and data quality topics.
• 
  Translate client needs into scalable data and reporting solutions.
• 
  Support strategic client onboarding and implementation projects.

3. 
   Data Engineering & Visualization

• 
  Query and analyze large datasets using SQL.
• 
  Design reports and dashboards in Power BI.
• 
  Develop data models, visualizations, and analytical outputs for both internal and client-facing use.
• 
  Partner with Product, Engineering, and Operations teams to enhance reporting capabilities.

4. 
   AI & Process Innovation

• 
  Explore the application of AI and automation across private markets data workflows.
• 
  Contribute to process optimization and data-driven operational improvements.
• 
  Support the development of scalable analytics and next-generation client solutions.

5. 
   Leadership (Senior Associate)

• 
  Mentor junior team members.
• 
  Lead work streams and cross-functional initiatives.
• 
  Drive continuous improvement across data quality and operational processes.

Requirements

• 
  Bachelor’s or Master’s degree in Finance, Economics, Business Analytics, Data Science, Mathematics, Engineering, Computer Science, or a related field.
• 
  Associate: 2–5 years of relevant experience.
• 
  Senior Associate: 5+ years of relevant experience.

Preferred Experience

• 
  Experience in Private Equity, Private Debt, Fund Administration, Investment Operations, Performance Analytics, or Alternative Investments.
• 
  Client-facing experience within financial services or data-driven environments.

Technical Skills

• 
  Strong SQL skills.
• 
  Power BI or similar visualization tools.
• 
  Advanced Excel skills.
• 
  Data modeling and analytical problem-solving skills.

Nice to Have

• 
  Exposure to AI, machine learning, or advanced analytics.

What We Look For

• 
  Strong understanding of private markets investments.
• 
  Excellent client communication and stakeholder management skills.
• 
  Structured and analytical thinker with strong attention to detail.
• 
  Interest in technology, automation, and AI.
• 
  Ability to work independently and take ownership.
• 
  Collaborative mindset with leadership potential.

Benefits