Role Overview
The Data Scientist Analyst will work in the fast-paced world of private equity, specifically within the Secondaries and Primaries market, applying data science and AI techniques to real-world financial problems.
What You Will Do
The 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.
Why It Might Be a Fit
The ideal candidate will have strong analytical and problem-solving skills, excellent communication skills, and the ability to work autonomously and in a team environment.
Requirements
- Degree in Computer Science, Statistics, Data Science or another related field
- 1-3 years’ experience
- 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
- Financial modeling & valuation
- Market analysis & competitive intelligence
- Understanding of investment processes (deal sourcing, due diligence, portfolio monitoring)
- Strong analytical and problem-solving skills
- Excellent communication skills
- Stakeholder management (investment teams, investors, other parties)
- Strategic thinking & problem-solving
Benefits
- Competitive salary
- Equity or stock options
- Health insurance
- Retirement plan
- Paid time off
- Wellness programs
- Professional development opportunities
To apply for this job please visit ardian.wd103.myworkdayjobs.com.
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