About The Position

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. One of several key positions in the new Global Financial Crimes Division Operations function, this position will be responsible for (1) helping to identify detection scenarios, (2) provide analytics support for developing, tuning, optimizing and modifying segmentation to improve transaction monitoring and screening systems, and (3) helping to coordinate the implementation of scenarios, which detect financial crime. The incumbent is responsible for supporting leadership to ensure a globally consistent effort that enables continuing improvement to the transaction monitoring capabilities and further mitigate potential financial crime.

Requirements

  • Hands on working knowledge of one or more of the following programming platforms: SAS, R, Python, SQL.
  • Familiarity with vendor models like Actimize SAM
  • 3+ years of 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.
  • Sound knowledge on AML data including KYC, customer, account and transactional data.
  • 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.
  • Proven excellence in execution in complex and demanding situations
  • Collaborative with strong interpersonal communication skills
  • Systemic thinker
  • Process oriented coupled with a strong ability to develop appropriate program enhancing strategies
  • Detail-oriented and organized execution
  • Good presentation skills
  • Experience interfacing with banking regulators and enforcement staff
  • Thorough understanding of an effective financial crimes risk management framework
  • Demonstrated ability to manage multiple projects simultaneously
  • The ability to interact effectively at all levels of the organization, including Bank staff, management, directors and prudential regulators
  • Ability to work autonomously and initiate and prioritize own work
  • Solid judgment, strong negotiating skills, and a practical approach to implementation – including knowledge of Banking systems
  • Ability to balance regulatory requirements with the best interests of the Bank and its customers
  • Bachelor's degree in statistics, mathematics, quantitative analysis, economics, computer science, data and technology Sciences or related field is required.

Nice To Haves

  • Advance degree a plus.

Responsibilities

  • Perform Development of AML Transaction Monitoring Scenario Development and Data Analysis.
  • Support large strategic optimization and segmentation program to enhance and tune MUFG’s GFCD Transaction Monitoring Program.
  • Recommend customer segmentation and optimization for MUFG’s GFCD monitoring system across multiple lines of business.
  • Development of models involving tuning, calibration, segmentation and optimization.
  • Coordinate with other regional and Global teams to implement on the monitoring models.
  • Work collaboratively across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.
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