Job Description

About MUFG Global Service (MGS)

MUFG Enterprise Solutions India Private Limited (MUFG Global Service) is the Global Capabilities Centre (GCC) of Mitsubishi UFJ Financial Group (MUFG), the world\'s fifth largest financial institution by assets. Launched in 2020, our operations has expanded to a team of over 400 employees across three offices in Bengaluru and Mumbai. We are a global integrated centre of excellence for strategic cross-functional business solutions by offering and creating value, including: IT performance: Development for applications and middleware, support for infrastructure, cyber security and network monitoring, architecture support for supply chain finance and payments products Risk Advisory: KYC Quality Assurance and Control, AML & KYC Advisory, Governance , Issue Management, Conformance Global Business Services: Business Administration and Credit Analysis support.



PurposeofRole:

This position will be responsible for (1) threshold tuning, (2) optimization of rules tuning and existing filter platform toimproveeffectivenessandefficiency,(3)createandexecutetestcasesandscriptsfortestingofchangesandreleases * create tailor business rules to reduce hit rate, prepare tuning data, reviewing hit reduction strategies (5) identify andmitigate sanctions risks through periodic risk assessment on algorithms and rules.The incumbent is responsible forsupporting leadership to ensure a globally consistent effort that enables continuing improvement to the sanctionsscreening capabilitiesandfurthermitigate potentialfinancialcrime.

MainResponsibilities:

InconnectionwiththeGlobalFinancialCrimes program

• Abilitytoindependentlymanage,organize,andprioritizemultiple tasks,projectsandresponsibilities
• Createandexecute testcasesandscriptsfor testingofchangesandreleases
• Assistwithtailored businessrulestoreducehitrate,prepare tuningdata,reviewing hitreductionstrategies
• Assistwithplan, design,develop/implementcode/configurationforSanctionsscreening application;
• IdentifyandmitigatesanctionsandAMLNSrisksthroughperiodic riskassessmentonalgorithmsandrules;
• Performdataanalysistodetermineandverifybusiness requirements/issuesspecification,flows anddeliverables forprojects;
• Assistwithproducingmeaningfulreportsfromoutput ofSanctions andAMLNSscreening forreportingtoseniormanagement
• CreatestatisticalrepresentativesamplesforATL/BTLtesting inordertovalidatethatthesanctions andAMLNSscreeningmodeliseffective andfunctioningaccordingly.
• Processlargeamount ofdataforstatisticalmodeling andgraphicanalysis.
• Performmodelvalidation,memorializingmodelselection rationalesanddefined assumptions.
• Coordinatewithregional Intelligence&Analyticsteamstoimplement ontheglobalmodel.
• Workcollaborativelyacrossfunctionalteams withinGFCDtoensureeffective andefficientoperationswithclearly definedrolesandresponsibilities.

CandidateProfile:

• Skillsandknowledge

• KnowledgeofSanction andNameScreeningOptimizationandTuning.
• Familiarityimplementing,testing orevaluatingperformanceofsanctionsscreeningsystems.
• Proven track record of strong quantitative testing and statistical analysis techniques as it pertains toOFAC sanctions and AML models, including name similarity matching, classification accuracy testing,unsupervised/supervisedmachine learning,neuralnetworks,fuzzylogicmatching,decisiontrees,etc.
• Familiarityofcurrentcompliancerulesandregulations oftheFRB,SEC,OCC,FATF,FinCEN,OFAC, andfamiliarity with USA PATRIOTAct,BSA/AML and OFACscreeningregulations.
• Working knowledge of one or more of the following programming platforms: SAS, Matlab, R, Python,SQL,VBA,etc.
• Familiaritywithvendormodels likeHotscan,Actimize SAM/WLF,Search Space, RDC,Bridger Insight,ACE Pelican, TCH OFAC Screening (EPN), FICO Credit/Debit, Guardian Analytics, and/orThreat Metrix.
• Education&professionalqualifications

BachelorsDegree(B.A.)fromafouryearcollegeoruniversityinacomputer relatedfield.

• Experience

• Overallexperienceof10-15years
• 5-8years experiencedesigning,analyzing,testingand/orvalidatingOFACsanctionsandAMLscreening models.

Priorexperiencedesigningcomplianceprogram tuningandconfigurationmethodologies,includingwhat-if detection scenario analytics, excess over threshold, and sampling above/below-the-line(ATL/BTL)testing

Note: Its a US shift with Hybrid working model.

MUFG