Data Scientist Analyst - Secondaries & Primaries

Ardian

$90K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Degree in Computer Science, Statistics, Data Science, or related field
  • 1-3 years of experience in data science or related roles
  • Proficiency in SQL, Python, R, and data visualization tools like Tableau or Power BI
  • Experience in machine learning techniques such as predictive modeling and NLP
  • Understanding of financial modeling and investment processes in private equity

Responsibilities

  • Leverage analytical skills to enhance investment strategies
  • Apply data science methodologies for market trend analysis
  • Collaborate with investment teams to optimize investment models
  • Perform portfolio-level analytics and develop machine learning models
  • Integrate AI into daily workflows for pricing and deal evaluation

Benefits

  • Join a fast-growing, established data science team in private equity
  • Gain hands-on experience with real-world financial applications of data science
  • Opportunities for strategic impact on investment decision-making
  • Engage with an international team across different geographies
  • Support ongoing projects that enhance AI integration and market intelligence
Full Job Description

The Role

This position offers a unique opportunity to immerse yourself in the fast-paced world of private equity, specifically within the innovative Secondaries and Primaries market. You will gain hands-on experience in applying data science and artificial intelligence techniques to real-world financial problems, contributing directly to the team's success.

Joining the Secondaries & Primaries team at Ardian, the Data Scientist will leverage analytical skills to support investment strategies and decision-making processes. You will be part of an already established fast-growing data science team entirely dedicated to the Secondaries & Primaries activity.

This role involves working closely with the investment team, applying data science methodologies to optimize investment models, analyze market trends, and enhance data-driven insights for the Secondaries and Primaries markets. You will work on both established datasets and the structuring of new data sources, in close collaboration with our data engineering team.

Current projects include, but are not limited to:

  • Portfolio-level analytics: fund and company performance modeling, GP benchmarking through development of proprietary machine learning models

  • AI integration into day-to-day team workflows, including pricing and other deal-related aspects

  • Market intelligence: identifying trends in private equity markets

  • Deal execution: data-driven screening of opportunities, valuation support

  • Risk assessment: scenario modeling for fund investments

  • Support responses to LP analytics and data-driven requests

Core Technical Skills

  • Programming languages & technical stack (SQL, Python, R, GitHub, Databricks, Snowflake)

  • Machine learning & AI (predictive modeling, generative AI, NLP) - Experience in developing AI tools and agentic workflows is advantageous

  • Statistical analysis & econometrics

  • Data visualization tools (e.g., Tableau, Power BI)

Business & Investment Skills

  • Knowledge of the finance and private equity sector, with a desire to understand Secondaries and Primaries market dynamics

  • Financial modeling & valuation

  • Market analysis & competitive intelligence

  • Understanding of investment processes (deal sourcing, due diligence, portfolio monitoring)

  • Strong analytical and problem-solving skills

Soft Skills

  • Highly motivated with the ability to work autonomously and in a team environment.

  • Excellent communication skills with the ability to present complex technical concepts in a clear and concise manner.

  • Stakeholder management (investment teams, investors, other parties)

  • Strategic thinking & problem-solving

Communication Scope:

  • The candidate will be required to liaise directly with various internal team members and should be confident in requesting / providing information to all levels of management

  • The role will require significant interaction with other teams in Europe and from other Ardian offices / geographies


Profile

  • Degree in Computer Science, Statistics, Data Science or another related field

  • 1-3 years' experience. The role will initially focus on supporting senior team members, with increasing ownership over models and analyses as experience grows

  • Familiarity working with international teams and across cultures

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