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 VP, Data Analytics Manager - Jersey City, New Jersey, United States

Job information
Posted by: Sumitomo Mitsui Banking Corporation 
Hiring entity type: Other 
Work authorization: Existing work authorization required for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Other
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 6ZUFWLAGwzzTfZ0eQDqZo56GbDts1k / Latpro-3830739 
Date posted: Oct-10-2021
State, Zip: New Jersey, 07302


VP, Data Analytics Manager Sumitomo Mitsui Banking Corporation (Jersey City, NJ) seeks VP, Data Analytics Manager to dvlp, implmt, & enhnce data mgmt apps & data anlytcs tools used to collct, aggrgte, anlyze, & visualze customr, prdct, & transact'n data. Gathr & defne biz rqmts & then translte them into tech specs to optmze functnlty of apps. Prfm data mappng, data anlys, & dvlp specs for integratn. Apply data from Complnce Dpt stkehldrs to trnslte qualtatve rsk factrs into rspnsve rsk modls that levrge new tchnlgy. Dvlp Mgmt Info Systm (MIS) rprts for use by SMBC Am Divis'n & Head Offce stkehldrs. Wrk closely w/ Japan Resrch Institute-Am partnrs to dvlp & test tools & systms in line w/ polcy & regultry expectatns. Maintn knwldge of new anlytcl tchnqs & data sources that prvde ongoing rsk mitigat'n, as well as montr emrgng data & tchnlgy issues that may impct achvmnt of Complnce Dept's objctves. Dvlp data anlytcs solns & make recommndtns for imprvemt w/ Complnce Dept to enhnce SMBC's anlytc capablty & automate procsses. Reqs MS in Info Systms or closly rltd fld +3yrs exp in pos offrd or as Mgr. All reqd exp mustve incld wrkng w/in finc'l srvrces indstry in regltry envrnmt; gaining exp w/ BSA/AML complnce w/in bankng/captl mrkts indstry; prfmng data & complnce anlytcs usng Pythn, R & SQL; & bldng anlys tools & drivng insghts from data usng Oracle databases (PL/SQL), MS SQL Srvr (T- SQL), & Azure, and visualizat'n tools Tableau, Excel, & Power BI. Email res to Ref. #274.
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