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Temp Hedge Fund Analyst Jobs (NOW HIRING)

Leland

Hedge Fund Coach

We're seeking professionals with hedge fund experience at leading firms to coach students and early ... market analysis. Ideal candidates have worked at established hedge funds and have experience ...

UTIMCO

Director, Hedge Fund Investments

Austin, TX · On-site

The Hedge Fund team member will help develop and oversee UTIMCO's equity market neutral managed ... Proficiency in applying artificial intelligence (AI) tools to improve research, analysis ...

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How much do temp hedge fund analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for temp hedge fund analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Temp Hedge Fund Analyst vs Hedge Fund Analyst?

AspectTemp Hedge Fund AnalystHedge Fund Analyst
CredentialsBachelor's degree, relevant finance certifications often preferredBachelor's degree, often with CFA or similar certifications
Work EnvironmentTemporary, contract-based, often in fast-paced hedge fund officesFull-time, permanent role within hedge fund firms
Employer & IndustryHedge funds, asset management firms, financial servicesHedge funds, asset management firms, financial services

Temp Hedge Fund Analysts typically work on a short-term basis, assisting with specific projects or during hiring surges, while Hedge Fund Analysts are permanent staff involved in ongoing investment analysis and decision-making. Both roles require similar credentials and operate within the same industry environment, but the temp position offers more flexibility and less job security.

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Temp Hedge Fund Analyst jobs near you

Buy-Side Equity Analyst or Portfolio Manager: Paid User Testing

Mercata

New York, NY • Remote

Full-time

Re-posted 18 days ago

Job description

Mercata is looking for a few experienced buy-side equity analysts and portfolio managers for early user testing of our AI-native Research OS for hedge funds and alternative asset managers. One 30-minute session, paid for your time, with the option to do more (also paid) sessions later if it's interesting to you. NOTE: this is a short user-testing engagement, not an employment role.

The product is built around the day-to-day of fundamental equity work: notes, IC memos, and the constant triage of filings, PRs, and headlines. So we're looking for people who do that work now, or did until recently.

We'd also like to hear how you're using AI in your research today. If you're not, that's fine too, it's not a requirement.

If you've ever wished your research tools understood your workflow, we'd love your input.

About Mercata

Mercata is an AI-native research OS for fundamental investors.

We transform the flood of fragmented financial information into a structured, time-aware intelligence graph that analysts can actually work with.

Our platform ingests and links filings, news, press releases, and alternative data across companies, people, and markets. Rather than summarizing documents, Mercata goes deep to capture context, evolution, and hidden relationships that matter in the sectors we cover.

By automating data ingestion and surfacing high-impact events, Mercata frees analysts from manual review and helps them focus on forming original, high-conviction ideas.

Think of it as a hyper-competent sidekick that makes the analyst look brilliant.

Requirements

  • Current or recent experience as an equity analyst or portfolio manager on the buy side, at a hedge fund (long/short) or long-only asset manager
  • ≥2 years covering equities as a investment analyst, research analyst, hedge fund analyst, fundamental investor (not quant), portfolio manager.
  • Experience writing notes, models, theses, and IC memos
  • Someone who has felt the pain of event triage (news, filings, PRs)
  • Curiosity about new research tools and AI-assisted workflows
  • Willingness to share constructive feedback on usability, workflow fit, and product value