Private Equity Data - Associate / Senior Associate (f/m/x)

Posted 21 Days Ago
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Munich, Bayern, DEU
In-Office
Senior level
Big Data • Fintech • Analytics • Financial Services
The Role
Analyze and validate private markets investment data (PE, debt, real estate, infrastructure); compute performance metrics; build data models, reports, and Power BI dashboards; query large datasets with SQL; manage client onboarding, data requirements, and escalations; explore AI/automation for data workflows and mentor junior staff (Senior).
Summary Generated by Built In
Location: Munich, Germany (Hybrid)
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 funds, insurances, pension plans and others. This global institutional client base benefits 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.


About The role

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.
  1. 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.
  1. 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.
  1. 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.
  1. Leadership (Senior Associate)
  • Mentor junior team members.
  • Lead work streams and cross-functional initiatives.
  • Drive continuous improvement across data quality and operational processes.

Requirements
Required Background & Experience
  • 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
  • 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.


Skills Required

  • Bachelor's or Master's degree in Finance, Economics, Business Analytics, Data Science, Mathematics, Engineering, Computer Science, or related field
  • Associate: 2-5 years relevant experience; Senior Associate: 5+ years relevant experience
  • Strong SQL skills
  • Power BI or similar visualization tools
  • Advanced Excel skills
  • Data modeling and analytical problem-solving skills
  • Strong understanding of private markets investments (Private Equity, Private Debt, Real Estate, Infrastructure)
  • Client-facing experience within financial services or data-driven environments
  • Experience in Private Equity, Fund Administration, Investment Operations, or Performance Analytics
  • Exposure to AI, machine learning, or advanced analytics
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The Company
171 Employees
Year Founded: 2001

What We Do

CEPRES is a leading platform for private market data and analytics, driving digital transformation for private market investment teams by providing real-time and predictive analytics.

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