Global Financial Crimes Transaction Monitoring, Assistant Vice President

MUFG•Irving, TX

51d•Hybrid

About The Position

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Reporting into the Head of GFCD Design, Tuning and Optimization, this new position has been created for the purpose of establishing GFCD Global TM capabilities for MUFG. One of several key positions in the Global Financial Crimes Division Transaction Monitoring function, this position will be responsible for providing strategic execution of the AML control globally for MUFG.

Requirements

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.

Nice To Haves

Advance degree a plus.

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