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Selby Jennings
Manhattan, New York, UNITED STATES
(on-site)
Posted
2 days ago
Selby Jennings
Manhattan, New York, UNITED STATES
(on-site)
Job Function
Financial Services
Quant Researcher
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Quant Researcher
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
We are partnering with a leading multi-manager platform to hire a Senior Quantitative Researcher within the PM Engagement team. This is a rare opportunity to step into a true "front-office quant advisor" seat at a leading multi-manager platform, working side-by-side with Portfolio Managers to shape how capital is deployed and performance is generated.You will directly influence portfolio construction, risk-taking, and P&L outcomes across fundamental equity long/short strategies. The role is highly visible and commercially driven, with a defined mandate to elevate how portfolios are built, optimize risk-adjusted returns, and embed top-tier analytics into the investment process.
Responsibilities
- Partner with Portfolio Managers to refine portfolio construction across equity long/short strategies
- Deliver clear insight into performance drivers, risk exposures, and portfolio behavior
- Conduct attribution and factor analysis to improve understanding of returns
- Advise on positioning, capital allocation, and risk management decisions
- Develop and apply quantitative tools supporting portfolio analytics and construction
- Identify and implement best practices across teams
- Communicate findings effectively to PMs and senior stakeholders
- Collaborate with risk, data, and engineering teams to enhance analytics capabilities
Key Qualifications
- Minimum 6+ years of relevant experience in equity long/short or alternative strategies
- Deep understanding of portfolio construction, risk, and performance attribution
- Experience working directly with Portfolio Managers or in a front-office environment
- Strong factor models and P&L analysis skills
- Advanced Python (pandas, numpy, research workflows)
- Experience with SQL and large datasets
- Exposure to analytics tools, dashboards, or data infrastructure is a plus
- Ability to translate quantitative work into practical investment insight
- Comfortable influencing experienced PMs and investment teams
- Commercial mindset with a focus on outcomes
Job ID: 84868041
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