CAREERSDeepResearcherSeoul,South Korea18:37WorldQuant develops anddeploys systematicfinancial strategies across a broadrange of assetclasses andglobalmarkets.We seek to producehigh-qualitypredictivesignals(alptas)throughourproprietary researchplatformtoemployfinancial strategies focuised on market inefficiencies.Ourteamswork collaborativelytodrivetheproductionofalphas andfinancialstrategies -thefoundation of abalanced,globalinvestmentplatformWorldQuantisbuiltonaculturethat pairs academic sensibilitywithaccountability forresults.Employees areencouragedtothinkopenlyabout problems,balancingintellectualism andpracticality.Excellentideascomefrom anyone,anywhere.Employees are encouraged to challengeconventional thinking andpossess anattitudeofcontinuousimprovement.Our goal is to hirethebestandthebrightest.We valueintellectualhorsepowerfirstand foremost,andpeoplewhodemonstratean outstanding talent. There is noroadmap tofuture success,sowe need peoplewhocanhelpusbuildit.The Role: This is a highlyuniqueopportunityfor aQuantitativeResearcherto join anew and rapidly growingteam.In this role you willpartner witha close-knit team ofdata scientists,dataengineers,technologists anddatasourcing colleagues toidentifyand research new sectoror broadAlphasbasedonadeepunderstandingoffundamentals.Develop a structuredand methodicalresearchagenda combiningfundamentalknowledge,dataexplorationandquantitative analysis.Become a domainexpertoneachfundcmentaltopicyoucover,identifykeyinformationdriverstotarget your research.Conduct detailed dataexploration toacquirea comprehensiveunderstanding ofthe dataused togenerateAlphas;enrich a widerangeof structured andunstructured datainto datasets toenableyourquantitativeresearch.Takeaprocessorientatedapproach to understand te valuedriversofyourAlphasWhatYou'llBring:At least 2 years of relevantfinancialresearchexperienceProvenexperienceofextractinginsightsfromlargeandcomplex datasets usingSQLand Python.Experience withalternativedatasets a plus.Demonstrablefinancialknowledge-passedat least Level of theCFAprogram,or similarfinancialqualification(i.e.MBAor accountancy background).Thoroughunderstandingabout variousvaluationapproachesandmethods.Expertiseintimeseriesanalysisandmodels.ProficientincodinginC/C++and Python.Excellentcommunications skills(bothwrittenandoralEnglish).Strong analyticaland conceptualskillsencompassingfinance andrelated areasoffinancial investment.Familiaritywithvarious research/databse platforms(Bloomberg,Reuters etc.)wouldbepreferred.직무: 해당직무는퀀트연구원으로써WorldQuant에서빠르게성장하고있는신규프로젝트인Deep Research에합류할수있는매우특별한기회입니다.여러분은 데이터사이언티스트,데이터엔지니어및데이터소싱전문가로구성된팀과긴밀히협력하여펀더멘탈(기업재무정보)에대한깊은이해를바탕으로섹터혹은시장전체에대한알파개발및연구를담당하게됩니다.재무관련지식,데이터탐구및정량적분석을포함한체계적인연구과제를 개발합니다.담당하는재무분야에대한도메인전문가가되어해당연구의주요핵심정보를 분석합니다.알파개발에사용되는데이터에대한포괄적인이해도를갖추기위해데이터를정밀하게분석합니다.다양한정형및 비정형데이터를연구에활용할수도록가공합니다.개발한알파의핵심가치를이해하기위해프로세스중심접근방식으로연구합니다.자격요건:최소2년의관련금융연구/ 재무분석경력이있으신분SQL및Python을사용해복잡한빅데이터셋에서인사이트를도출한경험이많으신 분입증된금융지식을갖춘분 -CFA레벨1을취득하셨거나이와비슷한금융자격요건(예::MBA혹은회계경력등)을갖추신분.다양한밸류에이션접근법과방법론에대한이해도가깊으신분시계열분석및모델링에능숙하신분C/C++또는파이썬프로그래밍에능숙하신분영어로의사소통이가능하신분(서면및구두)금융및투자관련분야에대한우수한분석력을갖추신 분다양한연구/데이터베이스플랫폼(Bloomberg,Reuters등) 사용경험우대합격하신분들은서울지사에서근무하게될예정입니다.By submittingthis application,you acknowledge and consentto terms of theWorldQuantPrivacyPolicy.Theprivacypolicyoffers anexplanationof how andwhyyourdatawillbecollected,howit will be used anddisclosed, how it willbe retainedand secured,and what legalrights areassociatedwiththat data (includingtherightsof access, correction,anddeletion).The policyalsodescribeslegaland contractuallimitations ontheserights.Thespecificrightsandobligationsof individualslivingandworkingin differentareas mayvaryby jurisdiction.CopyrightC2025 WorldQuant,LLCAll RightsReserved.WorldQuant is an equalopportunityemployeranddoes not discriminate in hiring onthebasisofrace,color,creed,religion,sex, sexualorientationorpreference,age,marital status,citizenship,nationalorigin,disability,military status,geneticpredisposition or carrier status,or any other protected characteristicasestablishedbyapplicablelaw.
