Market intelligence

The data layer under the quant talent market

Firm profiles, role benchmarks, market reports and skill demand, maintained as one index rather than a set of articles.

Firm profiles

15

Each profile states what was observed from tracked adverts and what was published by the firm itself.

Roles benchmarked
18
Market guides
17
Skills tracked
12

This week in tracked coverage

New York holds the largest tracked quant book

Within tracked coverage the index holds 395 live quant records, of which 48 (12%) carry a salary figure stated by the employer. The rest state no figure; where the model covers that role and market a band is shown and always labelled as modelled, and where it does not, no figure is shown at all. New York holds the largest tracked book at 112 live records. Quant Researcher holds the largest share by discipline at 160 live records. Over the last seven days the index first observed 13 quant records and recorded 18 as closed. A first observation can mean a newly advertised role or a source the index has only just begun watching, and a closed record means the index no longer observes that advert as live, which is not evidence of a withdrawal or a hire. These are observations of tracked adverts within tracked coverage. They are not a measure of the whole market, candidate availability, completed hires or uninterrupted daily collection.

Observed by the KnowQuant research desk · data as at 31 October 2026

First observed
13

records the index saw for the first time

Recorded closed
18

no longer observed as live; not withdrawals or hires

Largest tracked market
New York

112 live records

Largest tracked discipline
Quant Researcher

160 live records

Employer-stated pay
12%

48 of 395 live records state a figure; the rest do not

Full market intelligence
Read every dated edition in the market print archive

KnowQuant research deskUpdated 1 September 202615 firms, 18 roles, 17 marketsMethod 2026.1

What is the KnowQuant dataset?

KnowQuant maintains a live index of quantitative trading firms and systematic funds, mapping every vacancy to a role, seniority band, city, strategy and skill set. On top of that live vacancy layer sit 15 in-depth firm profiles, 18 role benchmarks and 17 hub market reports. Indicative market ranges, compiled from publicly reported compensation data, published market guides and role benchmarking across the hub markets we cover.

Coverage

The limits of what we know, stated up front

A market read is only worth something if you know where it stops. Ours stops here.

In the quant index

395 live vacancies across research, trading, quant development, quant analytics, low-latency engineering, portfolio management and machine learning. Each one earns its place from a published rule you can read.

Tracked but never counted as quant

354 adjacent engineering and data roles at the same 21 employers. Useful context, so they stay visible under a second scope, and they never inflate a quant number.

What we will not claim

17% of the book states pay. The rest carries a modelled band, labelled as modelled, with its sample size attached. Where a market is thin we say so instead of drawing a confident line through three data points.

Industry and technology evidence

7 notes taken from public first-party material published by the firms themselves. Each one states what the document supports and, separately, how we read it. These are curated source notes, not an automatically refreshed news feed.

  1. At least one major principal trading firm describes engineering as several distinct disciplines, not one trading-systems job.

    Source: Hudson River Trading, Engineering and interviewing at HRT (company post dated 2 October 2025)

    What it establishes
    The firm sets out separate engineering tracks with different day-to-day work and different interview emphasis, published by the employer itself.
    What we take from it (interpretation)
    Our reading: treating every engineering seat at a quant firm as low-latency C++ work misreads the hiring. A platform, tooling or data background can be a direct fit rather than a compromise, which is why our index keeps all genuine functions at these firms eligible.
    Software engineering at quant firms
  2. Internal tooling is written up as first-class engineering, including a Python domain-specific language for alerting.

    Source: Hudson River Trading, HeraclesQL: a Python DSL for writing alerts (company post dated 28 October 2025)

    What it establishes
    The firm publicly documents building and maintaining its own alerting language in Python for internal users.
    What we take from it (interpretation)
    Our reading: language choice follows the job. Python sits in production at a latency-sensitive firm because the constraint there is authoring and review speed, not microseconds. Candidates who argue one language is universally the professional choice are arguing against how these teams actually work.
    Python or C++: choose by the system
  3. Front-end and shared-worker engineering appears in the same public engineering blog as trading infrastructure.

    Source: Hudson River Trading, HRTWorker: a SharedWorker framework (company post dated 24 November 2025)

    What it establishes
    The firm describes browser-side engineering work it built for its own users.
    What we take from it (interpretation)
    Our reading: full-stack and application engineers are inside the addressable market at these firms, not adjacent to it. Rather than assume what a given engineering seat involves, ask the team what that team owns day to day. It is one reason we do not filter a genuine vacancy out because its title is not a core-quant title.
    All live roles at tracked firms
  4. A large trading firm publishes its technology approach, including its use of a single functional language across systems.

    Source: Jane Street, Technology (undated company page)

    What it establishes
    The firm's own description of how it builds and what it values in its systems.
    What we take from it (interpretation)
    Our reading: a technology page tells you what a firm builds with, not what it tests for. Before preparing, read that firm's published interview guidance and its stated position on which languages you may use in the process, and ask the recruiter what each stage covers.
    Interview shapes by firm
  5. Citadel and Citadel Securities state publicly that they are separate and distinct firms.

    Source: Citadel Securities, Who we are (undated company page)

    What it establishes
    Each business describes a different activity: an alternative investment manager and a market maker.
    What we take from it (interpretation)
    Our reading: an offer should be compared at entity level. Business model drives how performance is measured and paid, so two offers under one familiar brand are not the same job or the same compensation shape.
    Hedge fund, prop firm or market maker
  6. A market maker's published explanation puts competitive spreads at a small fraction of one per cent of a security's price.

    Source: Citadel Securities, What is a market maker? (undated company page)

    What it establishes
    The firm's own account of earning the spread while carrying inventory risk, at very thin margins.
    What we take from it (interpretation)
    Our reading: the economics explain the engineering. Thin per-trade margins at scale put the premium on correctness, throughput and risk controls, which is the work most engineering seats at these firms actually do.
    How each strategy makes money
  7. Where a US employer advertises pay, base and discretionary bonus can be stated as separate things.

    Source: Jane Street, New York engineering position listing (listing read September 2026)

    What it establishes
    One New York advert states a base amount separately from a discretionary bonus. It is a single advert at one firm, not an observed market range.
    What we take from it (interpretation)
    Our reading: an advertised figure and a total package are different quantities. Comparing one offer's base with another offer's first-year total is not a like-for-like comparison. Our pay pages label stated and modelled figures separately for the same reason.
    How to read an offer and compare two of them

How we label evidence

Fact
Directly observed from a named source - a published posting, a company statement, a regulatory filing. Carries a link.
Derived
Computed from facts by a stated rule, such as converting a US dollar reference range into local currency at the published index factor.
Inference
An editorial judgement from market knowledge where no observation exists. Always labelled, never presented as measurement.

The mix varies by page and is labelled on each one. Vacancy counts, firm statements and cited documents are facts; currency and seniority conversions are derived; compensation bands without a stated figure are modelled, and editorial reading is marked as such. What we do not yet hold is verified first-party compensation submissions, so no page presents a survey we have not run.

How a vacancy is classified

Two separate questions. Eligibility is about the employer: every genuine vacancy at a tracked quant firm is in the index, including software, data, platform, infrastructure, security, operations and business functions, and paid internships. Classification is about the work: seven core quant families carry the quant label, and an engineering or data role is additionally counted as quant where the advert carries trading-systems evidence. A role outside those families is still a real, listed opportunity. Only records that are not vacancies at all are excluded. Every job page shows the rule that classified it, so any judgement can be challenged.

Read the classification rule set
A quiet research desk at night, screens showing glowing market curves

The research desk

Intelligence written to be argued with

Every report names its sample, its window and its limits. If the evidence is thin, the page says so instead of drawing a confident line.

Weekly market movements

One email a week, on what moved and why

The dated market call: which desks opened seats, where pay shifted, and which markets tightened. Written by the research desk, sent Monday, and nothing else.

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Methodology

Figures are expressed as annual total compensation (base salary plus expected performance bonus) in the reference market's local currency, converted from a US dollar base. They describe typical market ranges rather than any individual offer, and exclude sign-on payments, deferred equity and carried interest. Portfolio-manager figures reflect formulaic profit-share arrangements and are therefore far more dispersed than any other role.

KnowQuantIndex 2026.1 · Updated September 2026

Modelled bands describe the market, not an individual offer. Where an employer states pay, the stated figure is used and labelled as such.