Internship Aml Transaction Monitoring Jobs in Texas

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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.

Job Summary:

 

Reporting into the one of the team manager under Director of Global Analytics and Engineering, this new position has been created for the purpose of establishing AML Transaction Monitoring capabilities for MUFG.

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. 

Major 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 of the following 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.

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. 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

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.