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MUFG · 11 hours ago

Global Financial Crimes Transaction Monitoring, Assistant Vice President

Irving, TX

Full-time

Hybrid

Mid Level

$90K/yr - $112K/yr

3+ years exp

Mitsubishi UFJ Financial Group (MUFG) is one of the world’s leading financial groups, striving to make a difference for every client and community. The role involves strategic execution of the AML control globally, focusing on developing statistical models and analyzing transaction data to ensure effective transaction monitoring.

Financial Services

Responsibilities

Develop mathematical or statistical theory/models to interpret customer KYC data and historical transaction data to group customers and non-customers into segments and clusters in order to monitor their activity in the correct TM thresholds

Create statistical representative samples for ATL/BTL testing using hypergeometric sampling techniques in order to validate that the transaction monitoring model is effective and functioning accordingly

Process large amount of data for statistical modeling and graphic analysis

Conduct data profiling to validate relevant data and data sets to be used for customer segmentation and tuning initiatives

Support in the creation of detail documentation which includes scenario logic, identified tunable and static parameters and deminimus values for all parameters

Analyze data and sample to ensure accuracy of key data elements for alert generation

Qualification

Statistical analysisR programmingPython programmingBSA/AML model validationData profilingFinancial crime complianceMachine learning techniquesStatistical modelingProblem solvingDocumentation skillsTeam collaboration

Required

Knowledge of mathematics particularly statistics

Ability to code using R or Python for customer segmentation and data analytics

Ability to solve problems through mathematical and deductive reasoning

3-5 years' experience designing, analyzing, testing and/or validating BSA/AML models, and/or OFAC sanctions screening models

Familiarity implementing, testing or evaluating performance of financial crime and compliance systems

Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to BSA/AML models, including name similarity matching, classification accuracy testing, unsupervised/supervised machine learning, neural networks, fuzzy logic matching, decision trees, etc

Familiarity of current compliance rules and regulations of the FRB, SEC, OCC, FATF, FinCEN, OFAC, and familiarity with USA PATRIOT Act, BSA/AML and OFAC screening regulations

Prior experience designing compliance program tuning and configuration methodologies, including what-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

Familiarity with vendor models like Actimize SAM, SAS, SearchSpace, Mantas, OTUS, or SIRON

Bachelor's degree in statistics, mathematics, quantitative analysis, economics, computer science, data and technology Sciences or related field is required