Vp Global Financial Crimes Sanctions

Year    Bangalore, Karnataka, India

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 capabilitiesandfurthermitigatepotentialfinancialcrime.

MainResponsibilities:

InconnectionwiththeGlobal FinancialCrimes program

  • CreateandassistwiththedevelopmentofSanctionsandNameScreening Tuning&OptimizationMethodology;
  • Createandexecute testcasesandscriptsfor testingofchangesandreleases
  • Createtailoredbusiness rulestoreduce hitrate,prepare tuningdata,reviewing hitreductionstrategies
  • Plan,design,develop/implementcode/configurationforSanctionsandNamescreeningapplication;
  • Identifyandmitigate sanctionsandAMLrisksthrough periodicriskassessmentonalgorithmsandrules;
  • Performdataanalysistodetermineandverifybusiness requirements/issuesspecification,flows anddeliverables forprojects;
  • Developdocumentationrelatedtoproductionandpre-productiontuningeffortsandchangestosanctionsandname screeningsystems toensure comprehensive audittrail;
  • Create statistical representative samples for ATL/BTL testing in order to validate that the sanctions and namescreening modeliseffectiveandfunctioningaccordingly.
  • Helpdevelopofmodelsinvolvingtuning,calibration,andoptimization.
  • Supportthedevelopmentofpoliciesandproceduresforsanctionsandnamescreening lifecycle.
  • CoordinatewithGlobal Intelligence&Analyticsteamstoimplementontheglobal model.
  • WorkcollaborativelyacrossfunctionalteamswithinFCOAandGFCDtoensureeffectiveandefficientoperations withclearlydefinedroles andresponsibilities.
CandidateProfile:
  • Skillsandknowledge
  • KnowledgeofSanction andNameScreeningOptimizationandTuning.
  • Knowledgeof314Arequirements,adverse mediascreening,PEPscreening,andsanctionsscreening.
  • Abilitytosolve problemsthroughmathematicalanddeductivereasoning.
  • Familiarityimplementing,testing orevaluatingperformanceofsanctionscompliancesystems.
  • Proven track record of strong quantitative testing and statistical analysis techniques as it pertains toSanctions models, including name similarity matching, classification accuracy testing,unsupervised/supervisedmachine learning,neuralnetworks,fuzzylogicmatching,decisiontrees,etc.
  • Familiarityofcurrent compliancerulesandregulations oftheFRB,SEC,OCC,FATF,FinCEN, OFAC,andfamiliarity with USA PATRIOTAct,BSA/AML and OFACscreeningregulations.
  • Priorexperiencedesigningcomplianceprogramtuning andconfigurationmethodologies,includingwhat-if detection scenario analytics, excess over threshold, and sampling above/below-the-line(ATL/BTL)testing.
  • Working knowledge of one or more of the following programming platforms: SAS, Matlab, R, Python, SQL,VBA,etc.
  • Familiaritywithvendor modelslikeHotscan,Actimize SAM/WLF,RDC,Bridger Insight,ACEPelican,T CH OFAC Screening (EPN), Fircosoft, SWIFT STS, FICO Credit/Debit, Guardian Analytics, andThreat Metrix.
  • Strongknowledgeaboutmodelriskmanagementandassociatedregulatoryrequirements
  • Provenexcellenceinexecutionincomplexanddemandingsituations
  • Collaborativewithstronginterpersonalcommunicationskills
  • Systemicthinkeracross enterprise
  • Processorientedcoupled withastrongabilitytodevelopappropriateprogramenhancingstrategies
  • Detail-orientedandorganizedexecution
  • Executivelevelpresentationskills
  • AnEnterpriseRiskManagementperspective
  • Education&professionalqualifications
  • BachelorsDegreeinStatistics,Mathematics,andDataAnalysis/Programmingrelated degree.
  • MastersorDoctoral degreeaplus.
  • Experience
  • Overallexperienceof15-18years
  • 9-15years experiencedesigning,analyzing,testing and/orvalidatingBSA/AML models,and/orOFACsanctionsandAMLnamescreeningmodels.
  • ExperienceinteractingwiththeExecutive CommitteeLeadership,control functionleadership,andcompliancesubject matterexperts

MUFG

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Job Detail

  • Job Id
    JD3118828
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year