Overview
On Site
100k - 115k
Full Time
Skills
Analytics
Data Science
Statistics
Data Cleansing
Jupyter
Pandas
NumPy
scikit-learn
Finance
Private Equity
Git
Version Control
Python
Machine Learning (ML)
SQL
Database
Reporting
Business Intelligence
Collaboration
Leadership
Insurance
SAP BASIS
Job Details
Ready to kick off your data science journey at the crossroads of finance and tech? This full-time, in-person role in Santa Monica places you at the heart of a top-tier investment firm that's spent the last decade building a powerhouse in private equity and credit. You'll join a team that treats data like a strategic asset-not just a buzzword-and helps guide real financial decisions with analytics.
Why is this role a standout? You'll dive into proprietary financial data and partner closely with the people making billion-dollar calls. This isn't a siloed analyst role-you'll see your work directly impact investment strategy. Perfect for someone in the early stages of their career (0-3 years experience) who's hungry to understand how data drives capital and opportunity. If you're detail-obsessed, self-motivated, and excited to learn by doing, this could be your launchpad.
What You Bring to the Table
Must-Have Skills
Nice-to-Have Skills
Tech Stack Breakdown
Role Activities
Applicants must be authorized to work in the U.S. on a full-time basis, now and in the future.
Why is this role a standout? You'll dive into proprietary financial data and partner closely with the people making billion-dollar calls. This isn't a siloed analyst role-you'll see your work directly impact investment strategy. Perfect for someone in the early stages of their career (0-3 years experience) who's hungry to understand how data drives capital and opportunity. If you're detail-obsessed, self-motivated, and excited to learn by doing, this could be your launchpad.
What You Bring to the Table
Must-Have Skills
- Bachelor's degree in Data Science, Statistics, Engineering, or a related field
- Hands-on experience with data cleaning and basic ML models
- Comfortable using Jupyter, Pandas, NumPy, and Scikit-learn
Nice-to-Have Skills
- Curiosity about finance, investing, or private equity
- Internship or entry-level experience in a data-centric role
- Familiarity with Git or other version control systems
Tech Stack Breakdown
- 60% Python + Machine Learning
- 25% SQL & database queries
- 15% Reporting & BI tools
Role Activities
- 85% Individual Contributor Work
- 5% Project Oversight
- 10% Collaboration with Analysts, Engineers, and Leadership
- Performance-based bonus
- Health, dental, and vision insurance
- Paid vacation
- Equity opportunities
Applicants must be authorized to work in the U.S. on a full-time basis, now and in the future.
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