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Selby Jennings

Quantitative Portfolio Strategist - Private Markets

Pay: $225,000–$275,000/yr

Posted: 5 days ago

Location: New York, NY (Onsite)

Last Updated: 2 days ago

Hours: Full-Time

Expires: 10/5/2026

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What they do

A Financial Quantitative Analyst develops mathematical or statistical models used in the financial sector. Applies models and quantitative methods to analyze securities or other business data; provides analysis used to inform investment and trading strategies and manage risk.

$132,420 / year median in New York

-5% projected decline

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Job Description

Quantitative Portfolio Strategist - Private Markets Selby Jennings - 3.0 New York, NY Job Details Full-time $225,000 - $275,000 a year 5 hours ago Qualifications Financial model construction SQL databases Financial model development SQL Financial data analysis tools Technical Proficiency Python Financial markets knowledge Statistical analysis tools Full 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.