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Vertex Talent · Est. MMXXVI

VERTEX

T A L E N T

London · — GMT0 live mandates
Executive Search · Backed by AI

The apexof human talent.

Vertex Talent is an executive search and specialist recruitment firm placing senior leaders across technology, finance, and life sciences. London-based. Discreet. Backed by our proprietary candidate intelligence engine.

Retained partner toIndex · Accel · Lakestar · EQT · Atomico
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Executive Search · Est. MMXXVITechnologyFinanceLife SciencesLegalSustainabilityAI-Augmented IntelligenceLondon · MayfairRetained · Confidential · Discreet247 Senior PlacementsExecutive Search · Est. MMXXVITechnologyFinanceLife SciencesLegalSustainabilityAI-Augmented IntelligenceLondon · MayfairRetained · Confidential · Discreet247 Senior Placements

[ 01 ] Manifesto

A senior hire is a decade of consequences. The candidate the spreadsheet picks is rarely the candidate the business needs. Vertex exists to bridge that gap — with discipline, intelligence, and the unshakeable conviction that the relationship is the asset, the placement is its consequence.

Discipline

No more than four mandates per consultant. Every shortlist a function of refusal, not collection.

Intelligence

A proprietary candidate intelligence engine — built in-house — augmenting consultant judgment with structured market data.

Confidence

96% of placements remain in role at twelve months. A figure that is, in executive search, unusual.

[ 03 ] How we work

A six-stage search cadence.

Designed to compress a senior placement to ten or twelve weeks. Not by cutting corners — by refusing to let any one of the six stages slip when the inevitable pressure arrives.

01Week 1

Diagnostic

A working session — not a briefing. We spend two hours with the hiring authority and the most relevant peer to interrogate the brief itself, and produce a one-page statement of the problem the hire is being asked to solve.

02Weeks 1–2

Long-list

Within fourteen days of engagement, we deliver a calibrated 36-name long-list. We commit to this internally — a long-list later than fourteen days is, in our experience, a search drifting into six months.

03Weeks 2–3

Calibration

A structured calibration session against four to five long-list candidates. The brief is refined; the shortlist criteria are written down. The calendar bends around the search, never the reverse.

04Weeks 4–7

Shortlist

Six to eight qualified candidates, each presented with a written assessment, structured commentary against the calibrated brief, and an honest read on the candidate's motivation and likely ceiling.

05Weeks 8–10

Offer

We start drafting the offer at first-shortlist stage, not at finalist stage. The compensation envelope is pre-cleared with the board, the contract is drafted, and the start date is pre-negotiated against notice periods.

06Months 1–6

Integration

A 90-day-plus-one integration cadence — structured listening, a written observation document, a deliberate week-eight win. We support every senior placement through their first six months in role.

[ 04 ] By the numbers

Discipline, measured.

01

0

Senior placements

Across executive and senior IC, since 2026

02

0 days

Avg. time to shortlist

From engagement to first qualified introduction

03

0%

Retained engagement rate

Clients retaining Vertex for a subsequent search

04

0%

12-month retention

Of our placements remain in role at twelve months

[ 07 ] Intelligence layer

Consultant judgment, intelligently augmented.

Every Vertex search is supported by a candidate intelligence engine we built in-house. It does not run our consultants — it sharpens them.

Anonymised market intelligence

Every interaction with the candidate market — every refused brief, every accepted introduction — is captured anonymously. Across 14,000+ data points, we model where senior talent is moving, why, and at what compensation band.

Calibrated shortlist scoring

Each shortlist candidate is scored across twelve dimensions — capability, motivation, capacity, and risk. The score augments consultant judgment; it does not replace it.

Lifecycle integration

When a candidate submits a CV through the website, the AI engine processes it within sixty seconds — extracting structured data, mapping it against active mandates, and routing the introduction to the relevant practice partner.

Built in-house. Not licensed.

The intelligence layer is proprietary. We have not licensed third-party recruitment AI; we have built our own engine, on our own data, accountable to our own consultants.

Candidate records

184,212

Active mandates

47

Companies tracked

8,400+

Compensation data points

102k

“

[ 06 ] In their words

The relationship is the asset.

Vertex placed our Chief Technology Officer in eleven weeks against a brief three other firms had told us was impossible. The shortlist was disciplined, every candidate was board-grade, and the post-placement integration support was the differentiator.

HL

Henrik Larsson

Founder & CEO · Series C Fintech

01/06

Retained by · Index · Accel · Lakestar · Atomico · EQT — and 70+ more

Index VenturesAccelLakestarEQT VenturesAtomicoBaldertonNorthzoneGeneral AtlanticSequoiaHighland EuropeNotion CapitalOctopus VenturesIndex VenturesAccelLakestarEQT VenturesAtomicoBaldertonNorthzoneGeneral AtlanticSequoiaHighland EuropeNotion CapitalOctopus Ventures

Begin a conversation

A discreet
conversation, first.

Whether you are mapping the market for a senior hire, exploring a new role yourself, or simply gathering intelligence — we will respond personally, in confidence, within one working day.

// VT — Direct

Mayfair · London

14 Berkeley Street
London W1J 8DX