Data Scientist Analyst - Secondaries & Primaries

Ardian•San Francisco, CA

About The Position

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

Requirements

Programming languages & technical stack (SQL, Python, R, GitHub, Databricks, Snowflake)
Machine learning & AI (predictive modeling, generative AI, NLP)
Statistical analysis & econometrics
Data visualization tools (e.g., Tableau, Power BI)
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
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
Degree in Computer Science, Statistics, Data Science or another related field
1-3 years' experience.
Familiarity working with international teams and across cultures

Nice To Haves

Experience in developing AI tools and agentic workflows is advantageous

Responsibilities

Leverage analytical skills to support investment strategies and decision-making processes.
Apply data science methodologies to optimize investment models, analyze market trends, and enhance data-driven insights for the Secondaries and Primaries markets.
Work on both established datasets and the structuring of new data sources, in close collaboration with the data engineering team.
Develop proprietary machine learning models for fund and company performance modeling, and GP benchmarking.
Integrate AI into day-to-day team workflows, including pricing and other deal-related aspects.
Identify trends in private equity markets.
Perform data-driven screening of opportunities and provide valuation support.
Conduct scenario modeling for fund investments.
Support responses to LP analytics and data-driven requests.
Liaise directly with various internal team members and confidently request/provide information to all levels of management.