職位描述：

WearelookingforafewcandidatestofillinthepositionsofAdvancedAnalyticsServices(AAS)groupinBeijingandShanghai.Weareinterestedincompetentcandidateswhowanttofurtherdeveloptheirquantitativeandartificialintelligence(AI)skills.Therequirementforaqualifiedcandidatesare:

1.MasterorPh.D.degreeinaquantitativefield,suchasMathematics,Statistics,MathematicalFinanceandartificialintelligencerelated;

2.Solidbackgroundinmathematicalfinanceormachinelearning;in-depthknowledgeofprobabilitytheory,stochasticprocesses,optimizationtheoryandnumericalanalysisisaplus;

3.Hand-onexperiencewithatleastoneoftheprogramminglanguagessuchasVBA,R,Python,Java,C++andMatlab;knowledgeofMapReduce,Spark,Caffe,TensorFloworNervanaNeoisaplus;

3.FluencyinwrittenandspokenMandarin/Englishideally;

4.Excellentcommunicationandinterpersonalskills;

5.ProficiencywithMSExcelandWordisamust.

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Whoweare?

Ernst&Young’sAdvancedAnalyticsServices(AAS)professionalshaveassistedavarietyoffinancialservicesinstitutionstoimprovequantitativeprocessesbyprovidingobjectiveadvicesandservicesthataretailoredtotheirneeds,instillconfidenceinthemodelsandmethodologiesdeployed,andhelpexecutesustainableimprovements.

Differentiatedbyourabilitytoleveragesophisticatedquantitativeskills,artificialintelligencecapabilities,practicalmarketplaceexperienceandglobalresources,wehaveadeepknowledgeofriskmeasurementandvaluation,modelingtechniquesandthetechnologiesusedtoapplythesewithinaneffectiveinfrastructure.

Whatwedo?

1.Derivativesvaluationandbenchmarking

Weprovideassuranceandadvisoryservicesthatassistinimprovingauditqualityandfinancialstatementreliabilitythroughathoroughreviewofderivativevaluations,pricingandriskmeasurementaswellastheassociatedprocessesandmethodologies.Becausewehaveindependentlyrevaluedthousandsofderivativetransactions,weleverageleadingpracticesandprovidemarketinsightthathelpsimprovevaluation,riskmeasurementandriskcontrolmethods.

2.Artificialintelligencemodelling

Withtheextensivehands-onexperiencesinthefinancialindustryoveradecade,weunderstandthebusinessnolessthanthefinancialinstitutionsdo.Duetotheincreasingneedsofartificialintelligencefromthebusiness,weleverageourin-depthquantitativetechniquestoprovidepracticalsolutionsbasedonmachinelearningmodelsforbusinessapplications.Ourservicecoversproblemidentification,dataacquisition,dataexplorationandvisualization,aswellasexperimentingwithmachinelearningalgorithmstosupportinstitutionsinmakingeffectivedecisions.Additionally,ourteamworkscollaborativelytodevelopanddeploymachinelearningstrategiesacrossavarietyofassetclassesinbothdomesticandoverseasmarketstomeetbusinessneeds.

3.Modelreviewandvalidation

Asthecomplexityoffinancialmarketsandproductsincreased,sohastherelianceonfinancialmodels.Today,modelsarewidelyusedacrossabroadrangeofvaluationandriskmeasurementprocessesandhavebecomeacriticaltoolformanagementdecision-makingandexternalreporting.Additionally,regulatorsandshareholdersarelookingforgreaterdisclosureregardingthemodelsutilized,includingtheirassumptionsandinputs.OurAASteamhashands-onindustryexperience,strongtechnicalskillandathoroughunderstandingofsupervisory,shareholderandbusinessstakeholderexpectations.Wehaveconductedmodelreviewsandperformedvalidationservicesforawidevarietyofleadingthird-partyandproprietarymodelscoveringmarketrisk,creditrisk,operationalrisk,economiccapital,pricing,valuationandcapitalreserves.

4.Modeldevelopmentandimplementation

Werecognizethatnotallinstitutionshavethetime,skillorresourcestodevelopvaluationandriskmodels.Ernst&Young’sAASprofessionalsleveragetheirmodeldevelopmentandimplementationexperience,solidquantitativeskillsandin-depthknowledgeofinterestrateandcreditderivativesproducts,structuredfinanceproductsandcapitalmarketstoassistinstitutionsthatareunabletotackletheseprojectsin-house.Ourmodeldevelopmentandimplementationservicescoverawiderangeofproductsinbanking,insuranceandassetmanagementanduseavarietyofstandardprogramminglanguages,suchasC,C++,C#andVBA.

5.Valuationandrisksystemimplementation

Ourservicesincludedefiningbusinessrequirements,developingtechnicalspecifications,requestsforinformation(RFIs)andrequestsforproposals(RFPs),evaluatingandselectingsystems,assistingincustomizationandimplementation,mappingandconvertingdata,benchmarkingmodelsanddata,writingreportsandtestingdevelopmentandexecution.

篇2:人工智能應用工程師職位描述與崗位職責任職要求

職位描述：

工作職責：

面向全球各種語系的交付員工，從事無線及傳輸領(lǐng)域站點集成、勘測、驗收等AI數(shù)字化工具及方案的驗證、功能催熟，支撐全球中方、本地及分包合作交付員工AI工具應用落地，包括：

1、負責與AI開發(fā)團隊協(xié)同,支撐AI方案的需求評審、方案驗證、特性適配；

2、針對全球交付員工進行AI工具與方案的培訓賦能；

3、充分溝通并處理一線在AI工具應用及開發(fā)中遇到的問題與需求，跟蹤閉環(huán)；

4、度量AI工具及方案的落地進展與收益。

任職要求：

業(yè)務技能要求：

具有傳輸、微波技術(shù)管理或交付項目管理相關(guān)背景，對數(shù)通及微波產(chǎn)品設(shè)計與調(diào)測、FTTX設(shè)計有深入理解，有兩年以上PM/TD等經(jīng)驗，具有海外工作經(jīng)驗，具有Python等編程經(jīng)驗優(yōu)先，具備IT或者數(shù)據(jù)管理經(jīng)驗優(yōu)先，具有RPA工具開發(fā)或應用背景優(yōu)先

專業(yè)知識要求：

數(shù)通、微波等產(chǎn)品站點勘測、設(shè)計及交付實施

篇3:架構(gòu)師（云平臺人工智能）職位描述與崗位職責任職要求

職位描述：

工作職責：

1、從事前沿人工智能技術(shù)研發(fā)，從事大規(guī)模機器學習、在線學習、人機交互、強化學習、遷移學習、無監(jiān)督學習、計算機視覺、圖像處理，語音識別、語義理解等的算法和系統(tǒng)研發(fā)，并結(jié)合MBB業(yè)務進行技術(shù)匹配，研究算法和方法論支撐MBB智能化演進。

2、負責云平臺架構(gòu)設(shè)計、需求分析、業(yè)務設(shè)計和技術(shù)規(guī)劃；

任職要求：

業(yè)務技能要求：

1、具有業(yè)界數(shù)據(jù)挖掘工具、或者人工智能平臺的設(shè)計、開發(fā)經(jīng)驗；

2、熟悉業(yè)界主流數(shù)據(jù)分析工具、云平臺架構(gòu)；

3、具有數(shù)據(jù)分析實戰(zhàn)經(jīng)歷，熟悉Python、R等數(shù)據(jù)分析語言。

專業(yè)知識要求：

1、計算機或者數(shù)學相關(guān)專業(yè)研究生以上學歷；

2、有5年以上的軟件設(shè)計或云化平臺開發(fā)經(jīng)驗，對軟件技術(shù)架構(gòu)，大數(shù)據(jù)、流計算、并行計算有深入的理解，能夠利用相關(guān)知識指導人工智能平臺的設(shè)計和開發(fā)；

3、對深度學習、知識推理、NLP、序列分析等人工智能算法有深入理解，能夠指導他人基于這些算法完成人工智能專題；

4、具有信息抽取、模型構(gòu)建、知識庫及知識檢索方面科研經(jīng)歷，有實際科研成果者優(yōu)先。