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 Data
Scientist Associate / Senior Associate to help drive CEPRES' next
generation of data, analytics, and AI capabilities.
This role is ideal for candidates
who enjoy solving complex data challenges and developing practical solutions
that improve the quality, scalability, and accessibility of private markets
data. You will work at the intersection of finance, data science, and
technology, building analytical models, intelligent automation solutions, and
innovative tools that support both client-facing products and internal
operations.
- Data Science & Advanced Analytics
- Develop scalable data science and analytics solutions for large private markets datasets.
- Design methodologies to extract, validate, enrich, and standardize investment data from structured and unstructured sources.
- Apply statistical, machine learning, and AI-driven techniques to improve data quality and operational efficiency.
- Support the development of analytical frameworks, data models, and business insights.
- AI & Innovation
- Develop intelligent workflows leveraging modern AI technologies, including LLMs and automation frameworks.
- Contribute to CEPRES’ AI and data strategy by identifying practical use cases and opportunities for innovation.
- Evaluate emerging technologies and support their adoption across the organization.
- Partner with business stakeholders to translate complex challenges into scalable solutions.
- Data Engineering & Automation
- Build and maintain data pipelines, automation frameworks, and quality control mechanisms.
- Query and analyze large datasets using SQL and Python.
- Collaborate closely with Engineering, Product, and Operations teams to improve data processing and platform capabilities.
- Document methodologies, processes, and best practices to support scalable implementation.
- Leadership & Collaboration (Senior Associate)
- Lead analytical work streams and innovation initiatives.
- Mentor junior team members and contribute to capability development.
- Drive continuous improvement across data science, automation, and analytical processes.
Requirements
Required Background & Experience
- Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Quantitative Finance, or a related field.
- Associate: 3–6 years of relevant experience.
- Senior Associate: 6+ years of relevant experience.
- Experience working with large and complex datasets in a production environment.
Preferred Qualifications
- Experience in Data Science, Analytics, Quantitative Research, or similar roles.
- Exposure to financial services, investment management, alternative assets, or fin tech environments.
- Experience delivering business-focused analytical solutions in cross-functional teams.
Skills & Qualifications
Technical Skills
- Strong Python and SQL skills.
- Solid foundation in statistics, machine learning, and data analysis.
- Experience building data pipelines, automation solutions, and data quality frameworks.
- Familiarity with modern AI technologies, including LLM-based solutions and intelligent automation tools.
- Experience with cloud-based data environments is an advantage.
Personal Attributes
- Strong analytical and problem-solving capabilities.
- Excellent communication skills across technical and non-technical audiences.
- Strong ownership mentality and attention to detail.
- Curious, innovative, and passionate about applying technology to real-world business challenges.
- 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
- Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Quantitative Finance, or related field
- 3-6 years (Associate) or 6+ years (Senior Associate) of relevant experience
- Experience working with large and complex datasets in a production environment
- Strong Python skills
- Strong SQL skills
- Solid foundation in statistics, machine learning, and data analysis
- Experience building data pipelines, automation solutions, and data quality frameworks
- Excellent communication skills across technical and non-technical audiences
- Familiarity with modern AI technologies, including LLM-based solutions and intelligent automation tools
- Experience with cloud-based data environments
- Exposure to financial services, investment management, alternative assets, or fintech
- Experience delivering business-focused analytical solutions in cross-functional teams
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.
