Global Financial Crimes - Data Platform (AML & Sanctions), Vice President

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 120,000 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 into the Global Financial Crime Division (GFCD) Design, Tuning and Optimization team, this new position has been created to oversee GFCD's Global Data Platform capabilities for MUFG. This role supports the Transaction Monitoring and Sanctions Screening functions, providing strategic requirements, design, and executing data analytics on MUFG's global data platform.

Major Responsibilities

• Lead and manage the gathering and documentation of business requirements for GFCD’s global data platform, focusing on advanced data analytics to combat financial crimes.

• Provide expert guidance and leadership on best practices for creating sustainable data pipelines and employing cutting-edge analytical techniques for transaction analysis, sanctions screening, and the seamless integration of core banking systems, payment processing platforms, and customer databases.

• Provide the strategy and oversee the analysis of complex data sets using Databricks to identify patterns and anomalies indicative of financial crimes, utilizing advanced data mining and machine learning techniques.

• Ensure the team has sound practices to test and maintain robust ETL processes and Python scripts to support sophisticated analytics.

• Conduct and supervise exploratory data analysis (EDA) to uncover actionable insights and present findings to various partners, driving informed decision-making.

• Build and manage tuning and optimization utilities to support the configuration of downstream transaction monitoring and sanctions screening applications.

• Ensure strict compliance with technical best practices, standards, and policies, maintaining the highest level of data integrity and security.

• Support and lead cross-functional teams such as GFCD’s centralized reporting functions, data governance, and other operational functions, fostering a collaborative and efficient work environment.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Information Technology, or related field.

• 8+ years of experience in financial crimes data analytics within the financial services industry.

• Transaction Monitoring: Experienced in monitoring and analyzing transactions to identify suspicious activities and red flags indicative of money laundering, terrorism financing, and other financial crimes.

• Sanctions Screening: Skilled in conducting sanctions screening to ensure compliance with regulatory requirements and prevent transactions involving sanctioned individuals or entities.

• Strong Technical Skills: Expertise in Python, Scala, and SQL, with familiarity with rules-based and machine learning models and model governance; ideally those relevant to transaction monitoring and sanctions screening.

• Proficiency in Databricks and Apache Spark: Skilled in developing scalable data pipelines and performing complex data analysis using Databricks and Apache Spark, with experience in Delta Lake for efficient data storage and real-time data streaming applications.

• Relevant Certifications: Databricks Certified Data Analyst Associate, Databricks Certified Machine Learning Associate, Databricks Certified Data Engineer Associate.

• Experience with transaction monitoring, sanctions screening, and financial crimes data sources.

• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.

The typical base pay range for this role is between $126K - $164K depending on job-related knowledge, skills, experience and lo