Financial Crimes - Transaction Monitoring Tuning & Optimization, Analyst - MUFG Americas : Job Details

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Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worlds leading financial groups. With 120,000 colleagues worldwide, we strive to make a difference for every client, organization, and community we serve. We value building long-term relationships, serving society, and fostering sustainable growth for a better world.

Our vision is to be the worlds most trusted financial group. We prioritize putting people first, embracing diverse ideas, and fostering innovation, speed, and agility. We invest in talent, technologies, and tools that empower your career development.

Join MUFG, where inspiration is encouraged and meaningful impact is rewarded.

The selected candidate will work at an MUFG office or client site four days a week and remotely one day. Further details will be provided by our recruitment team.

Job Summary:

This role reports to the Head of Financial Crimes Transaction Monitoring and focuses on establishing GFCD Operations Intelligence & Analytics capabilities for BTMU. It is a key position within the new Global Financial Crimes Division Operations, responsible for:

• Identifying detection scenarios
• Providing analytics support for developing, tuning, and optimizing transaction monitoring and screening systems
• Customer segmentation
• Coordinating scenario implementation to detect financial crime
• Creating statistically representative samples to ensure risk detection below thresholds

The incumbent will support leadership in ensuring a globally consistent effort to improve transaction monitoring and mitigate financial crime risks.

Major Responsibilities:

• Assist in developing mathematical or statistical models to interpret customer KYC and transaction data for segmentation and monitoring
• Identify relationships and trends in transactional data for AML monitoring
• Analyze clusters and relationships, presenting findings via data visualization tools
• Create statistical samples for testing transaction monitoring effectiveness
• Process large data sets for modeling and analysis
• Perform model validation, documenting rationales and assumptions
• Develop and test experimental designs and analytical methods for emerging risks
• Develop data mining methodologies using techniques like logistic regression, random forest, XGBoost, Bayesian networks
• Develop models involving tuning, calibration, segmentation, and optimization
• Create policies and procedures for AML transaction monitoring lifecycle
• Participate in strategic optimization programs to enhance MUFGs GFCD monitoring systems
• Provide recommendations on customer segmentation and system optimization across business lines

Coordinate with regional teams to implement global models and work collaboratively within GFCD to ensure effective operations.

Qualifications:

• Knowledge of mathematics, especially statistics
• Proficiency in R or Python for data analytics and customer segmentation
• Problem-solving skills using mathematical and deductive reasoning
• 0-2 years of experience in designing, analyzing, testing, or validating AML models or sanctions screening models
• Experience with financial crime and compliance systems
• Strong quantitative testing and statistical analysis skills, including machine learning techniques
• Familiarity with compliance regulations (e.g., FRB, SEC, OCC, FATF, FinCEN, OFAC, USA PATRIOT Act)
• Experience with compliance program tuning and scenario analytics
• Knowledge of programming platforms like SAS, Matlab, R, Python, SQL, VBA
• Familiarity with vendor models such as Hotscan, Actimize, RDC, and others
• Understanding of model risk management and related regulations
• Bachelors degree in a relevant field; advanced degrees preferred
• Experience working with executive leadership and compliance experts
• Strong execution skills in complex situations, interpersonal communication, systemic thinking, and process orientation
• Excellent presentation skills and an enterprise risk management perspective

Additional Skills:

• Experience with banking regulators and enforcement agencies
• Understanding of effective financial crimes risk management frameworks
• Ability to manage multiple projects and interact effectively at all organizational levels
• Autonomy in work initiation and prioritization
• Negotiation skills and practical implementation knowledge
• Ability to balance regulatory compliance with business interests
• Proficiency in analytical reporting and data visualization
• Mathematical or statistical problem-solving abilities

Education:

Bachelors in Computer Science, Data Analytics, Statistics, or related field required; Masters or Doctorate preferred.

The typical base salary ranges from $68K to $78K, with potential bonuses and comprehensive benefits, including health, retirement, education, and leave programs. For more details, see our MUFG Benefits Summary.

We consider all qualified applicants, including those with criminal histories, in accordance with applicable laws and regulations. We are an Equal Opportunity Employer committed to diversity and inclusion.