Financial Crime Compliance - Data Analytics, Risk Analytics, Assistant Vice President

MUFG•Irving, TX

13h•$88,000 - $109,000•Hybrid

About The Position

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 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. Job Summary: Reporting to the Head of Financial Crimes Compliance – Risk Analytics, which is part of FCC – Data Analytics, this new position has been created for the purpose of helping the global risk assessment data management and reporting function at MUFG as well as assisting and providing technical expertise to the FI EDD program. A key position within FCC RA, this role will be responsible for working across functions globally to support the Global Financial Crimes Division (GFCD) in providing timely analysis and reporting in support of risk assessment activities across products, services and geographies to raise management awareness, drive remediation activities, meet regulatory obligations and manage risk.

Requirements

A bachelor's degree is required. An advanced degree in analytics, computer science, applied math or related fields is preferred.
5+ years of internal or industry experience in compliance, reporting, technology or data governance.
Python Expertise: Advanced proficiency in Python, including libraries for data processing (pandas, numpy), statistical analysis (scipy, statsmodels), and automation.
Automation Development: Experience building automated workflows, ETL pipelines, and data validation systems.
Strong analytics background (data interpretation, trend analysis, KPI reporting)
Statistical Analysis: Strong grasp of hypothesis testing (e.g., T-tests, ANOVA), confidence intervals and regression analysis
Testing & Quality Assurance: Ability to write unit tests, integration tests, and ensure robust error handling.
Experience writing BRDs and building out or implementing technology solutions for compliance-related functions.
Data Visualization & Reporting: Proficiency in Tableau for dashboards and Excel for advanced reporting and analysis.
API & Integration: Experience with RESTful APIs and webhooks.
Database Skills: Good SQL skills and familiarity with relational and NoSQL databases.
Version Control: Proficiency with Git and CI/CD pipelines.
Payments/Transactions Data Knowledge: Understanding of payment processing flows, transaction lifecycle, fraud detection, and financial crime compliance requirements.
Collaborative with strong interpersonal communication skills.
Detail-oriented and organized execution.
Process-oriented with a strong ability to develop appropriate program-enhancing strategies.
Experience interfacing with banking regulators and enforcement staff.
Understanding of an effective financial crimes risk management framework.
Ability to manage multiple projects simultaneously.
Ability to interact effectively at all levels of the organization, including Bank staff, management, directors and prudential regulators.
Ability to work autonomously and initiate and prioritize own work.
Ability to balance regulatory requirements with the best interests of the Bank and its customers.
Attention to Detail: High accuracy in data handling, validation, and code review to prevent errors in financial transactions.

Nice To Haves

AI/ML Understanding: Familiarity with machine learning concepts and frameworks like TensorFlow, PyTorch, or Scikit-learn.
Understanding financial risk models and anomaly detection.

Responsibilities

In connection with the Global Financial Crimes program – Perform analytics and reporting for the global enterprise-wide risk assessment.
Support the collection, organization, and evaluation of quantitative data relevant to the risk assessment process.
Perform analyses to identify risks and trends in data.
Work collaboratively across functional teams within GFCD to ensure efficient and effective data gathering and analysis for risk assessment.
Work collaboratively across regional and local teams to ensure data quality for risk assessment.
Support the Head of FCC RA, to generate TDD templates, set risk thresholds based on statistical analysis and facilitate the identification of risk coverage gaps to drive necessary process enhancements.
Perform analytics and reporting for the global FI EDD team.
Support the implementation of FI EDD projects and evaluation of quantitative and qualitative data relevant to the FI EDD process.
Lead the development of new technical solutions to enhance current processes and standardize their application.
Perform analyses to identify risks and trends in data
Design and develop BRDs, as necessary.