MUFG Union Bank Jobs

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Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 7th largest financial group in the world. 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.

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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.

• Familiarity with vendor models like Hotscan, Actimize SAM/WLF, SearchSpace, RDC, Bridger Insight, ACE Pelican, TCH OFAC Screening (EPN), FICO Credit/Debit, Guardian Analytics, and/or ThreatMetrix.

Education

Bachelor’s Degree (B.A.) from a four year college or university in a computer related field.

The typical base pay range for this role is between $85k-105k depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

MUFG Benefits Summary (https://careers.mufgamericas.com/sites/default/files/document/2023-01/mb-live-well-work-well.pdf)

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.