# Hedge Funds Are Hiring Like Tech Companies (And AI Isn't Stopping Them)

> 44% of all open hedge fund roles are for engineers. We scraped 1,555 job postings across 102 funds to show how the buy side is quietly becoming a tech industry.


> **TL;DR.** We analyzed 1,555 open job postings across 102 hedge funds managing nearly $5 trillion. 44% of all open roles are engineering positions. Hedge funds aren't just using technology, they're becoming technology companies, and the data shows it.

## You'd Be Forgiven for Thinking This Was a Tech Company

Across 102 hedge funds collectively managing $4.9 trillion, 44% of every open job posting is for an engineer.

Engineers are hired more than traders, analysts, portfolio managers, operators.

Engineers.

```chart
hedge-fund-jobs-by-category
```

We built this dashboard with one prompt on Matterfact. It built a scraper on the fly to look across 102 funds and found 1,555 open postings. Only 35 of those funds had any public job listings at all. Another 58 hire exclusively through executive search and on-cycle recruiters. Nine funds had their portals walled off entirely. They happen to be some of the larger funds and pod shops.

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url: https://app.matterfact.com/artifacts/hedge-fund-jobs?owner=stan%40acadia.im
heading: Explore the hedge fund hiring dashboard
description: Filter 1,555 open roles across 102 funds by category, geography, and firm. The same artifact, built from one Matterfact prompt.
buttonText: Open dashboard
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![Hedge fund job posting coverage across 102 funds](/assets/images/blog/hedge-funds-hiring-engineers-blog/Image1.png)

In other words, the real number of engineering hires happening across the industry is almost certainly much higher than what the public data shows.

## What Kind of Engineers Are They Hiring?

```chart
hedge-fund-jobs-by-category-full
```

Let's break it down. Of the 679 engineering roles we tracked, the largest bucket is general software engineering, at 205 roles. Then infrastructure and DevOps at 101. After that comes a category you won't find in a typical tech company's job board: quant developers, at 62. Security engineers (42), low-latency specialists (29), data engineers (28), and trading systems engineers (25) round out the picture.

```chart
hedge-fund-engineering-sub-buckets
```

Looks more like a software company building a consumer app. This is an industry that needs engineers who understand microsecond latency, real-time data pipelines, and execution infrastructure that can handle billions of dollars in daily trading volume without flinching.

Goldman Sachs made headlines a few years ago when David Solomon revealed that 25% of the bank's entire workforce were engineers. Today, hedge funds are looking to blow past that number. At firms like Qube Research & Technologies (249 open roles), Millennium (227), and Optiver (165), engineering headcount isn't a support function; it's the core of the business. And the fact that AI can write code is not replacing engineers but creating more room for them.

## How Does This Compare to the Rest of the Economy?

Let's put 44% in context.

At a typical technology company, engineering roles make up roughly 25–35% of total headcount, depending on stage and product type. At major banks like JPMorgan, which budgeted $18 billion for technology in 2025, engineers represent a significant but still minority share of the workforce. JPMorgan has over 1,000 tech openings out of 7,000+ total openings at any given time, roughly 15%.

Manufacturing and industrial companies have engineering roles typically sit at 8–12% of workforce, focused on product design, process optimization, and increasingly on automation. Traditional financial services (asset managers, insurance companies, wealth advisors) hover around 10–15% for technology and engineering combined.

Hedge funds at 44% are way above all those. The only organizations that consistently hit similar engineering density are pure-play software companies and AI labs. The caveat here is these are new roles, not the current makeup, which is surely less heavy with engineers.

## The Geography Tells a Story Too

London leads with 315 open engineering and technology roles, followed by a significant concentration across the US (553 total roles, with New York and Chicago as the primary hubs). But what's really interesting is where the growth is happening at the margins.

```chart
hedge-fund-roles-by-city
```

India accounts for 126 roles. Singapore has 91. Bulgaria (yes, Bulgaria) shows up in the data. Hedge funds are doing what tech companies did a decade ago: building distributed engineering hubs in lower-cost markets to scale capacity without breaking the compensation budget.

```chart
hedge-fund-roles-by-country
```

Senior engineers at top US hedge funds now command $450,000 to $700,000 in total compensation, matching or exceeding Big Tech. In London, the range sits at £300,000 to £500,000 for infrastructure and trading systems engineers. At those price points, firms are inevitably looking at Bangalore, Sofia, and Warsaw to build out the next layer of engineering depth.

```request-access
variant: inline
heading: Want a hiring-flow dashboard like this on your coverage?
description: Matterfact builds a live artifact from one natural-language prompt: scrapers, comps, geography, comp ranges. Request access to point it at your universe.
buttonText: Request access
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## Why This Matters If You're an Investor

If you're allocating capital, this data is a leading indicator. The funds that are investing most aggressively in engineering infrastructure are the ones positioning for the next cycle of performance, not just through better stock picks, but through better systems that lead to a better process.

The shift from speculative AI hiring toward foundational software engineering is especially telling. Several large systematic funds have rebalanced their technology teams away from experimental ML roles and back toward backend systems, execution pipelines, and real-time data processing. They're not chasing the AI hype cycle. They're building the plumbing that makes performance repeatable and scalable.

Think of it like this: a fund that hires 100 engineers isn't just building a trading system. It's building an operating system, one that can ingest data faster, execute with lower latency, manage risk in real time, and adapt to new markets without rebuilding from scratch. That's a structural advantage that compounds over time, much like the technology moats that define the best software companies.

## The Talent War Is the Real Story

The uncomfortable truth is that the hedge fund industry is now directly competing with Google, Meta, and OpenAI for the same engineering talent. And in many cases, they're winning, not on mission or culture, but on compensation and the proximity to direct business impact.

An engineer at a hedge fund isn't building a feature that might move a metric by 0.3%. They're building systems where a microsecond improvement can translate into millions of dollars. That feedback loop, code to P&L, is something rather unique in hedge funds.

For anyone tracking where the smart money is flowing, follow the engineering headcount. It's the most honest signal in the market.

```request-access
heading: See why top hedge funds use Matterfact for leading indicators.
description: One prompt turns the open web into a live research artifact: scrape, model, share. Request access to run it on the signals you care about.
buttonText: Request access
```

*The data in this analysis was compiled from public websites across 102 hedge funds, last refreshed May 6, 2026. For a deeper look at what's driving these hiring patterns and what it signals about the future of institutional investing, explore [MatterFact](https://matterfact.com).*