人工智能人才指南：识别并吸引下一代金融人才

GartnerforFinance

TheAITalent

Guide

Identifyandattractthenext

generationoffinancetalent.

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OfCFOswillspendmoreonartificialintelligenceinthenexttwoyears

80%

Introduction

EightypercentofCFOswillspendmoreonartificial

intelligence(AI)inthenexttwoyears.ButrockstarAItalent

ishardtofind.Themostsuccessfulcompaniesbuildan

organizationthatattractstopAItalentandtakesproactive

measurestoretainthem.

CompetitionfortopAItalentisreal.Fewerthan10%of

financeteamsareseenasattractiveplacestoworkfor

criticalAItalent.

Threeactionscanhelpanorganizationattractthetalent

itneedstosupportitsAIinvestments:

1.KnowhowtospotAItalent.

2.PlayonstrengthsthatmatchAItalent’spriorities.

3.CreatecareerpathsthatAItalentwillfollow.

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KnowhowtospotAItalent

Thenextgenerationoffinancetalentlookstodigital-

andAI-enabledsolutionsfirst—andcanbefoundin

adozenormoreroles.

Citizendatascientistsanddataengineersarea

goodplacetostart.Theyaretheanalyststhatdabble

withdatasciencetoolsandskills.Manyarekeyed

onautomationandAI,eveniftheywouldn’treadily

definethemselvesas“AItalent.”

ThisAI-focusedtalentformsadatascienceloop

withbusinesspartnersanddecentralizedfinance

todeveloptools,analysisandmodelsthatsolve

businesschallengesandautomatefinancetasks.

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ModernAnalyticTools

ChallengesWorthSolving

High-QualityData

PlayonstrengthsthatmatchAItalent’spriorities

AItalentlookforthreethingsinanidealwork

environment:modernanalyticstools,high-quality

dataandinterestingchallengestosolve.

Manycompaniesalreadyhaveadataenvironment

readyforAI—orareinvestingtogetitthere.Andmost

financeteamsalreadyexcelintheareasofdataquality

andaccess.Thenextstepistocreateopportunitiesfor

meaningfulworkbybuildingastrategyforAIto

transformbusinessprocesses.

WhenrecruitingAItalent,besuretotailorAI-specific

jobpostingstoleadwiththeparticularchallengesand

problemsthefinanceteammustsolve.Bespecific

enoughtoletcandidatesknowwhatkindofinteresting

puzzlesawaitthem.

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PlayonstrengthsthatmatchAItalent’spriorities

Traditionalfinancecareerpathsde-emphasizetechnicalskillsinfavorofbusinessormanagementacumen.Butthenextgenerationoffinancetalentwillneedtocontinuetobuildtechnicalskills,evenatmoreseniorlevels,toensuredataintegrity.

AnoptimalAIcareerpathbalancesbothtechnicalandbusinessknowledge.

Designcareerpathsthatgivecandidatesthetechnicalskillstheywantwhilegivingthefinancepracticethekindofretentionthatleadstobusinessknowledge.

It’savirtuouscycle:Technicalskilldevelopmentleadstoretention,whichleadstogreaterbusinessknowledge,whichleadstoadoptionofgoodAItools.ThisinturnleadstorequestsfromthebusinessformoreAItools,andultimately,morechancestodeveloptechnicalskills.

Datasciencecareersshouldemphasizebusinessacumenandsoftskillsinjuniorroles.

Technicalcompetencyisincreasinglyimportantformore

seniordatasciencerole.

All

Emphasis

onTechnical

Skill

None

Seniority

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