Quant Researcher - Index Rebalancing
A leading multi-manager investment firm is seeking a skilled and motivated Quantitative Researcher to join a high-performing, collaborative team focused on low-frequency cash equity strategies. This is a unique opportunity to work in a transparent, idea-driven environment, contributing across the full investment lifecycle-from research and signal development to portfolio construction and execution. This quant research role offers a chance to make a significant impact by contributing to the research, analysis, and model implementation for sophisticated systematic equity strategies, and is ideal for someone who thrives in a fast-paced, intellectually rigorous environment -- eager to make a direct impact on investment outcomes.
Key Responsibilities:
- Apply rigorous statistical methods to develop and refine systematic equity strategies
- Evaluate and integrate new data-sets for alpha generation
- Enhance research infrastructure for back-testing, portfolio optimization, and deployment
- Collaborate closely with the PM and team on strategy design and execution
Ideal Candidate:
- Strong programming and research skills in Python
- Solid foundation in quantitative finance, statistics, and data analysis
- Experience with cash equity or index rebalancing strategies
- Background in handling large data-sets and building research tools
- Degree (Bachelor's, Master's, or PhD) in a quantitative field from a top-tier university
Preferred Experience
- 2 years + of experience working in a quantitative research capacity focusing on cash equity or index rebalancing strategies
- Experience innovating in signal research and development
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