Quantitative Researcher - Fundamental Equities
Core
Develop systematic trading signals by analyzing company filings, fundamental financial data, and alternative data using machine learning.
Role type
Quantitative Researcher (Fundamental Equities)
Builds
Systematic trading signals for a long/short equity portfolio
Domain
Investment Management / Fundamental Equities
Deliverable
production ML models
Required skills
Python programming, machine learning, fundamental financial analysis, company filings analysis, alternative data analysis
Preferred skills
Accounting background, finance background, statistics coursework
Technologies
Python, ML frameworks
Responsibilities
Leverage company filings and financials to generate trading signals, develop ML solutions for fundamental data analysis, collaborate with a lead Portfolio Manager
Rewrite
## About the role
A rapidly growing and well-resourced systematic trading team at a global investment firm is in search of an experienced Quantitative Researcher to focus on leveraging company filings and financials to systematically generate trading signals. This is the opportunity to work directly with a lead Portfolio Manager with an incredible track record within the L/S investment space, who has recently joined to grow a brand new initiative.
## Responsibilities
- Leverage company filings and financials to systematically generate trading signals.
- Work directly with a lead Portfolio Manager with an incredible track record within the L/S investment space.
## Requirements
- Deep understanding of company filings, fundamental financial data, and alternative data.
- Experience developing solutions to analyze fundamental financial data utilizing ML.
- Proficient Python programming skills.
- Bachelor's degree, with preference for an accounting or finance background, with additional statistics coursework preferred.
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