Global Financial Crimes - Sanctions Screening, Tuning & Optimization, AVP - Hybrid (Irving, TX)

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Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s 10 largest financial institutions according to S&P Global. Across the globe, we’re 120,000 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.

Job Summary: 

Reporting into the VP of Sanctions Design, Tuning and Optimization, this new position has been created for the purpose of establishing GFCD Compliance Operations DTO capabilities for MUFG. 

One of several key positions in the new Global Financial Crimes Division Operations function, this position will be responsible for (1) threshold tuning, (2) optimization of rules tuning and existing filter platform to improve effectiveness and efficiency, (3) create and execute test cases and scripts for testing of changes and releases (4) create tailor business rules to reduce hit rate, prepare tuning data, reviewing hit reduction strategies (5) identify and mitigate sanctions and AML risks through periodic risk assessment on algorithms and rules.  The incumbent is responsible for supporting leadership to ensure a globally consistent effort that enables continuing improvement to the sanctions screening capabilities and further mitigate potential financial crime.  

Major Responsibilities

In connection with the Global Financial Crimes program –

• Ability to independently manage, organize, and prioritize multiple tasks, projects and responsibilities

• Create and execute test cases and scripts for testing of changes and releases

• Assist with tailored business rules to reduce hit rate, prepare tuning data, reviewing hit reduction strategies

• Assist with plan, design, develop/implement code/configuration for Sanctions screening application;

• Identify and mitigate sanctions and AML NS risks through periodic risk assessment on algorithms and rules;

• Perform data analysis to determine and verify business requirements/issues specification, flows and deliverables for projects;

• Assist with producing meaningful reports from output of Sanctions and AML NS screening for reporting to  senior management

• Create statistical representative samples for ATL/BTL testing in order to validate that the sanctions and AML NS screening model is effective and functioning accordingly. 

• Process large amount of data for statistical modeling and graphic analysis.

• Perform model validation, memorializing model selection rationales and defined assumptions.

• Coordinate with regional Intelligence & Analytics teams to implement on the global model.

• Work collaboratively across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.

Experience/Skills

• Knowledge of Sanctions and Name Screening Optimization and Tuning.

• 5-8 years’ experience designing, analyzing, testing and/or validating OFAC sanctions and AML screening models.

• Familiarity implementing, testing or evaluating performance of sanctions screening systems.

• Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to OFAC sanctions and 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.