This position will assist in identifying detection scenarios; provide analytics support for developing, tuning, optimizing and modifying segmentation to improve transaction monitoring and screening systems; and help to coordinate the implementation of scenarios that detect financial crime.
The incumbent will be responsible for supporting leadership to ensure a globally and regionally consistent effort that enables continuing improvement to the transaction monitoring capabilities and further mitigate potential financial crime.
Coordinate with GFCD and regional Intelligence & Analytics team members on implementation of the global model.
Work collaboratively with Compliance and Financial Crimes staff in MUFG's APAC branches as well as across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.
In connection with the Global Financial Crimes Division (GFCD), this position will:
Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.
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.
Help develop of models involving tuning, calibration, segmentation and optimization.
Perform model validation, memorializing model selection rationales and defined assumptions.
7 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.
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 Hotscan, Actimize SAM/WLF, SearchSpace, RDC, Bridger Insight, ACE Pelican, TCH OFAC Screening (EPN), FICO Credit/Debit, Guardian Analytics, and ThreatMetrix.
Strong knowledge about model risk management and associated regulatory requirements
Bachelor's degree in statistics, mathematics, quantitative analysis, economics or related field. Advanced degree preferred.
Experience interacting with the Executive Committee Leadership, control function leadership, and compliance subject matter experts
Proven excellence in execution in complex and demanding situations
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
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
Ability to work autonomously and initiate and prioritize own work
Solid judgment, strong negotiating skills, and a practical approach to implementation – including knowledge of Bank systems
Ability to balance regulatory requirements with the best interests of the Bank and its customers
We regret to inform that only shortlisted applicants will be notified.
Internal Number: 6230681
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