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Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG) one of the worlds leading financial groups. Across the globe were 120000 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 worlds most trusted financial group its 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:
MUFG Bank is seeking an experienced and highly analyticalVice President Global Financial Crimesto lead the oversight and enhancement of the Banks AML/BSA and OFAC sanctions screening models. This role is critical in ensuring our financial crime detection systems are optimized compliant with regulatory expectations and aligned with our enterprise risk framework.
As a strategic leader within the Financial Crimes Compliance function you will bring deep expertise in quantitative modeling sanctions compliance systems regulatory policy and banking operations. You will work cross-functionally with stakeholders in Risk Technology Compliance and Audit to strengthen the Banks global financial crime program.
Qualifications:
Lead the development testing validation and tuning of AML transaction monitoring and OFAC name screening models ensuring detection accuracy and regulatory compliance.
Apply quantitative and statistical techniques to evaluate model performance including fuzzy logic matching supervised and unsupervised machine learning neural networks and decision trees.
Manage model tuning initiatives such as what-if scenario analytics excess-over-threshold monitoring and ATL/BTL sampling to optimize alert quality and reduce false positives.
Provide subject matter expertise on the implementation and performance evaluation of sanctions screening systems within core banking operations.
Ensure compliance with banking regulatory standards including those set by the FRB OCC SEC FATF FinCEN OFAC and the USA PATRIOT Act.
Collaborate with second-line Model Risk Management (MRM) and Internal Audit teams to address governance requirements and regulatory expectations.
Review and assess the performance of third-party vendor models including Actimize (SAM/WLF) Hotscan RDC Bridger Insight Fircosoft and SWIFT STS.
Partner with internal stakeholders to enhance data quality process automation and strategic program improvements across AML/sanctions workflows.
Deliver clear and concise reports risk assessments and executive-level presentations for regulators board committees and senior management.
Foster a culture of compliance and continuous improvement ensuring alignment of financial crime detection strategies with enterprise-wide risk management objectives.
Qualifications:
Bachelors or Masters degree in Mathematics Statistics Computer Science Economics Finance or a related field.
Minimum 6 years of experience in financial crime compliance or risk analytics within a large bank or financial institution.
Strong understanding of AML and sanctions screening models including typology coverage name matching logic and risk scoring.
Demonstrated experience with model validation quantitative testing and scenario-based analytics in a regulated banking environment.
Proficiency in programming and analytics tools such as SQL Python R SAS MATLAB or VBA.
Familiarity with vendor platforms and sanction systems used in global banks.
In-depth knowledge of regulatory frameworks governing AML/BSA and sanctions programs in the U.S. and internationally.
Strong interpersonal and communication skills with the ability to influence stakeholders and deliver presentations to executive audiences.
Highly organized detail-oriented and capable of managing multiple priorities in a fast-paced banking environment.
Strategic thinker with a process-oriented mindset and a track record of implementing programmatic enhancements.
Education
Bachelors Degree in Statistics Mathematics and Data Analysis/Programming related degree.
Masters 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.
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 individuals associates or relatives that is protected under applicable federal state or local law.Required Experience:
Chief
Full-Time