Global Financial Crimes - Sanctions & Name Screen Tuning Team, Vice President

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 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: 

Position will be responsible for overseeing global, regional, branch, and MGS resources related to

• threshold tuning,

• optimization of rules tuning and existing filter platform to improve effectiveness and efficiency,

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

• create tailor business rules to reduce hit rate, prepare tuning data, reviewing hit reduction strategies

• identify and mitigate sanctions risks through periodic risk assessment on algorithms and rules

Qualifications:

In connection with the Global Financial Crimes program –

• 6+ years’ experience designing, analyzing, testing and/or validating BSA/AML models, and/or OFAC sanctions and AML name screening models.

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

• Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to Sanctions 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, RDC, Bridger Insight, ACE Pelican, TCH OFAC Screening (EPN), Fircosoft, SWIFT STS, FICO Credit/Debit, Guardian Analytics, and ThreatMetrix.

• Strong knowledge about model risk management and associated regulatory requirements

• Working knowledge of one or more of the following programming platforms: SAS, Matlab, R, Python, SQL, VBA, etc.

• Collaborative with strong interpersonal communication skills

• Systemic thinker across enterprise

• Process oriented coupled with a strong ability to develop appropriate program enhancing strategies

• Detail-oriented and organized execution

• Executive level presentation skills

• An Enterprise Risk Management perspective

Education

Bachelor’s Degree in Statistics, Mathematics, and Data Analysis/Programming related degree.

Master’s or Doctoral degree a plus.

The typical base pay range for this role is between $126k-$164k 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

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

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.