Equities Quantitative Researcher
Our client is a highly prestigious global hedge fund with a long-standing track record across systematic and discretionary strategies. They are continuing to invest in their equities platform and are looking to add a Quantitative Researcher to the team.
This hire can be oriented toward alpha research, portfolio construction and optimization, or multi-factor risk modeling, depending on experience and interest.
Responsibilities
- Conduct original research to identify, develop, and validate equity alpha signals across global markets
- Design and implement systematic strategies using a range of datasets (fundamental, market, alternative data)
- Contribute to portfolio construction, including optimization frameworks, signal integration, and risk-aware allocation
- Develop and enhance multi-factor risk models to better understand exposures and improve portfolio robustness
- Partner closely with portfolio managers, engineers, and other researchers to take ideas from research through to production
- Build and maintain clean, scalable research infrastructure and workflows
Requirements
- 3 to 8 years of relevant experience in quantitative research within a buy-side or top-tier sell-side environment
- Strong academic background, ideally from a leading university, with a GPA of 3.6+
- Advanced degree preferred (PhD, MS) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or related field
- Strong programming skills in Python (required)
- Solid understanding of statistical modeling, machine learning techniques, and financial markets
- Experience working with equities data and building systematic signals or risk models is highly valued
- Ability to work independently while collaborating effectively in a team environment
What They Look For
- Researchers who are intellectually curious and genuinely interested in markets
- Individuals who can balance rigor with practical implementation
- Open-minded profile: the team is flexible on background as long as technical depth and academic strength are there
- Strong problem-solving ability and willingness to challenge assumptions
The Opportunity
- Work within a well-resourced, globally recognized platform with access to high-quality data and infrastructure
- Collaborative environment with direct interaction with senior investors and decision-makers
- Flexibility to shape your focus across alpha research, portfolio construction, and risk
- Competitive compensation aligned with performance
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