About The Position

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.

Requirements

  • 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.
  • 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.

Nice To Haves

  • Master's or Doctoral degree.

Responsibilities

  • Oversee global, regional, branch, and MGS resources related to threshold tuning.
  • Optimize 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.

Benefits

  • 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.
  • Paid vacation, sick days, and holidays.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

Education Level

Bachelor's degree

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service