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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