Global Financial Crimes Transaction Monitoring, Assistant Vice President job opportunity at MUFG (Mitsubishi UFJ Financial Group).

Home Jobs In United States Of America Tag: Assistant Vice President Global Financial Crimes Transaction Monitoring, Assistant Vice President position at MUFG (Mitsubishi UFJ Financial Group)


DateMore Than 30 Days Ago bot
MUFG (Mitsubishi UFJ Financial Group) Global Financial Crimes Transaction Monitoring, Assistant Vice President
Experience: 5-years
Pattern: full-time
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Assistant Vice President

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degreeAssociate
loacation Irving, TX, United States Of America
loacation Irving, TX....United States Of America

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. Reporting into the Head of GFCD Design, Tuning and Optimization, 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 globally for MUFG. Major Responsibilities: In connection with the Global Financial Crimes program – Develop mathematical or statistical theory/models to interpret customer KYC data and historical transaction data to group customers and non-customers into segments and clusters in order to monitor their activity in the correct TM thresholds. Create statistical representative samples for ATL/BTL testing using hypergeometric sampling techniques in order to validate that the transaction monitoring model is effective and functioning accordingly.  Process large amount of data for statistical modeling and graphic analysis. Conduct data profiling to validate relevant data and data sets to be used for customer segmentation and tuning initiatives. Support in the creation of detail documentation which includes scenario logic, identified tunable and static parameters and deminimus values for all parameters. Analyze data and sample to ensure accuracy of key data elements for alert generation Experience/Skills Knowledge of mathematics particularly statistics. Ability to code using R or Python for customer segmentation and data analytics. Ability to solve problems through mathematical and deductive reasoning. 3-5 years’ experience designing, analyzing, testing and/or validating BSA/AML models, and/or OFAC sanctions screening models. Familiarity implementing, testing or evaluating performance of financial crime and compliance systems. Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to BSA/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 Actimize SAM, SAS, SearchSpace, Mantas, OTUS, or SIRON. Education Bachelor's degree in statistics, mathematics, quantitative analysis, economics, computer science, data and technology Sciences or related field is required. Advance degree a plus. The typical base pay range for this role is between $90k-$112k 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.

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