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Quant Researcher

Selby JenningsManhattan, NY🇺🇸United StatesPosted 14 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job 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







Skills

SQL
NumPy
Pandas
Python
Risk Management

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