Live opening · Posted 1 day ago

Investment Manager Analyst

PortfolioFuture · New York, NY (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyPortfolioFuture
LocationNew York, NY (Remote)
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 1 day ago

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About the role

Description supplied by the original job listing.

Company Description
PortfolioFuture is an independent fund discovery and intelligence company focused on empirical research into ETFs and mutual funds. The organization evaluates and ranks funds, analyzes substitution and relative performance, and decomposes investable returns to help investors and financial advisors understand what each fund contributes to a portfolio. For asset managers, PortfolioFuture links fund research with portfolio and ownership intelligence to highlight where products can credibly compete and where meaningful distribution opportunities exist. All research is strictly independent, with commercial relationships having no influence on rankings, conclusions, or which funds are highlighted. PortfolioFuture is driven by the belief that better investment products deserve a fair chance to win.
Role Description<
/strong>
The Investment Manager Analyst internship is a remote role focused on supporting research and analysis related to ETFs, mutual funds, and portfolio construction. Day-to-day responsibilities include collecting and organizing fund and market data, assisting with empirical performance analysis, and helping to evaluate fund substitution and contribution to portfolio outcomes. The intern will support the creation of research summaries and internal documentation, collaborate with team members on analytical projects, and contribute to improving internal tools and processes. This internship provides exposure to quantitative investment research, portfolio intelligence, and the practical application of fund analytics in real-world allocation decisions.
Qualifications
Strong analytical and quantitative skills, including ability to work with financial data and interpret empirical research findings.
Familiarity with investment concepts such as ETFs, mutual funds, portfolio allocation, performance attribution, and risk/return metrics.
Proficiency with spreadsheets and data tools (e.g., Excel, Google Sheets); experience with programming or statistical tools (e.g., Python, R) is a plus.
Clear written and verbal communication skills, with the ability to summarize complex research for non-technical audiences.
Detail-oriented, organized work style and ability to manage tasks independently in a remote environment.
Curiosity about markets and asset management, with a commitment to evidence-based decision-making and independent thinking.
Progress toward or completion of a degree in Finance, Economics, Data Science, Mathematics, or a related field preferred.
Prior internship, project, or coursework involving investment research, portfolio analysis, or financial modeling is beneficial but not required.

Work arrangement
Yes

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