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Quantitative Portfolio Strategist - Private Markets

Selby JenningsManhattan, NY🇺🇸United StatesPosted 2 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your quantitative skills in private markets, developing innovative tools and models that directly impact investment strategy and long-term decision-making. You'll thrive here if you're a motivated individual with a passion for analytics and a desire to grow within a reputable investment management firm. Apply now to contribute to cutting-edge portfolio analytics and gain invaluable experience at the forefront of investment technology.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Manhattan, NY, United States
Posted
23 hours ago
SQLPython

Job Description

Quantitative Portfolio Strategist - Private Markets

A large investment manager is looking to add a Senior Analyst to their investment strategy team. Sitting at the intersection of investing, analytics, and technology, this role offers the opportunity to build tools, develop models, and deliver insights that support portfolio construction and long-term investment decision-making. It's a unique opportunity to combine technical expertise with real investment impact in a front-office environment.

Responsibilities:

  • Build analytical tools, models, and automation solutions to support investment decision-making and portfolio monitoring.
  • Partner with investment, risk, data, and technology teams to translate business questions into scalable analytical solutions.
  • Contribute to the development of next-generation portfolio analytics, including performance frameworks, surveillance tools, and capital planning models.

Requirements:

  • 3+ years of experience in portfolio analytics, investment strategy, asset allocation, performance measurement, or a related investment role.
  • Exposure to private markets
  • Strong quantitative and analytical capabilities with experience building models to support investment decision-making.
  • Proficiency in Python and SQL
  • Bachelor's or advanced degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or another quantitative discipline.

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