Senior AML Transaction Monitoring Specialist, Vice President - Hybrid (Irving, TX)

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.

Job Summary: 

Reporting into the GFCD Technology, Analytics, and Innovation department, 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 regionally and globally for MUFG.

Major Responsibilities:

·        In connection with the Global Financial Crimes program –

• Lead the design, implementation, and oversight of TM and CRR models across bank, trust, securities, and related entities, balancing technical model development with enterprise program objectives.
• Develop program roadmaps, project timelines, resource plans, and budget requests to support cross-entity execution and build-out of new or enhanced TM capabilities.
• Support hiring, training, and management of junior team members while providing direction across technical execution, program governance, and stakeholder engagement.
• Apply knowledge of statistical models, tuning, segmentation, and alert generation to guide junior staff and connect technical decisions to AML risk coverage, operational impact, and governance expectations.
• Design and maintain TM tuning and configuration methodologies, including what-if scenario analytics, excess over threshold, ATL/BTL testing, and governance evidence needed to support cross-entity consistency.
• Use R, Python, SQL, or similar tools to analyze data, assess segmentation and tuning outcomes, and support data sourcing, quality review, and enablement activities required for TM program execution.
• Resolve complex data, system, and implementation issues by coordinating across Compliance, Technology, Operations, Model Risk, and regional stakeholders.
• Lead optimization and remediation projects for MUFG’s TM and CRR systems, including alignment of entity-specific priorities to global standards, methodologies, and program outcomes.
• Coordinate with GFCD, regional compliance teams, Technology, Operations, and other control partners to align requirements, resolve execution risks, and support effective DTO operations.
• Create, update, and operationalize TM and CRR methodologies so they support model development, program governance, data enablement, and One MUFG consistency.

Qualifications:

• 8+ years of experience leading financial crimes, AML, sanctions, or transaction monitoring programs in complex financial institutions.
• Strong knowledge of TM and CRR systems, including model design, tuning, segmentation, alert generation, implementation, and ongoing optimization.
• Knowledge of applicable financial crimes laws, rules, and regulatory expectations, including FRB, SEC, OCC, FATF, FinCEN, OFAC, USA PATRIOT Act, BSA/AML, and OFAC screening requirements.
• Experience designing, building, or enhancing TM program capabilities, including tuning and optimization methodologies, governance routines, and cross-entity execution practices.
• Working knowledge of Python, SQL, SAS, R, or similar tools used for data analysis, model assessment, tuning, and data sourcing activities.
• Familiarity with leading vendor TM platforms such as Actimize, SAS, Mantas, Siron, or similar systems.
• Strong knowledge of model risk management, validation expectations, governance evidence, and regulatory standards for AML models and related controls.
• Experience leading across functions and entities, including Compliance, Technology, Operations, Model Risk, regional teams, control function leadership, and senior executives.
• Proven ability to execute in complex, demanding environments with competing regulatory, operational, technology, and entity-specific priorities.
• Strong communication and collaboration skills, with ability to translate technical model and data issues into clear business, risk, and governance implications.
• Executive-level presentation skills, including ability to brief senior leaders on program status, risks, decisions, and One MUFG alignment.

Education

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

·        Advanced degree a plus

The typical base pay range for this role is between $120K - $152K 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.