Global Financial Crimes Analyst

5 days ago


Irving, Texas, United States MUFG Full time

We are seeking a skilled Global Financial Crimes Analyst to join our team at Mitsubishi UFJ Financial Group (MUFG), one of the world's 10 largest financial institutions. As a key member of our Global Financial Crimes Division Operations, you will play a critical role in establishing AML Transaction Monitoring capabilities for MUFG.

Job Summary:

The selected candidate will report into the Director of Global Analytics and Engineering and be responsible for helping identify detection scenarios, providing analytics support for developing, tuning, optimizing, and modifying segmentation to improve transaction monitoring and screening systems, and coordinating the implementation of scenarios that detect financial crime.

Key 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

Qualifications/Skills/Experience:

  • 1-3 years of hands-on working knowledge of one or more programming platforms: SAS, R, Python, SQL
  • Familiarity implementing, testing, or evaluating performance of models
  • Knowledge on quantitative testing and statistical analysis techniques such as name similarity matching, classification accuracy testing, unsupervised/supervised machine learning, neural networks, fuzzy logic matching, decision trees, etc.
  • Proven excellence in execution in complex and demanding situations
  • Collaborative with strong interpersonal communication skills
  • Systemic thinker
  • Detail-oriented and organized execution
  • Good presentation skills

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.

Salary: The typical base pay range for this role is between $71k-$89k 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.



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