Assistant Vice President, Financial Crime Operations Intelligence & Analytics

About MUFG

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. With 150,000 colleagues globally, MUFG strives to make a difference for every client, organization, and community. The company values building long-term relationships, serving society, and fostering shared and sustainable growth to be the world’s most trusted financial group. MUFG fosters a culture that prioritizes people, encourages diverse ideas, and promotes collaboration for greater innovation, speed, and agility, investing in talent, technologies, and tools to empower career ownership. Join MUFG, where inspiration is expected, and meaningful impact is rewarded.

As part of its commitment to being the world’s most trusted financial group, MUFG's Global Financial Crime Directorate (GFCD) is consolidating and improving key elements of global financial crime detection and prevention operations by creating a network of operations. These operations aim to increase and enhance the effectiveness of operational financial crime prevention and detection expertise and oversight by consolidating knowledge, capabilities, insight, and experience of its people, along with refined processes, training, and technologies. MUFG seeks ambitious, energetic, service-focused individuals with Financial Crime experience, dedicated to protecting customers and the wider global economy, while developing world-class anti-money laundering (AML) and know-your-customer (KYC) skills.

Main Purpose of the Role

As an Assistant Vice President, Financial Crime Operations Intelligence & Analytics, you will support the Financial Crime Operations team, delivering objectives for Europe, Middle East, and Africa (EMEA). Working within the Operations Intelligence & Analytics (I&A) team, your responsibilities include:

• Providing analytics support for developing, optimising, and modifying segmentation to improve transaction monitoring, detecting financial crime.
• Improving the design, tuning, and optimisation of automated monitoring and sanctions screening scenarios.
• Leveraging predictive analytics to drive enhancements in transaction monitoring and sanctions screening.
• Improving design, tuning, and optimization of transaction monitoring and sanctions screening systems.

This role has 0 direct reports.

Key Responsibilities

• Identify detection scenarios for financial crime.
• Provide analytics support for developing, tuning, optimising, and modifying segmentation to enhance transaction monitoring and sanctions screening systems.
• Tune and optimize AML, KYC, and sanctions screening models.
• Coordinate the implementation of financial crime detection scenarios.
• Support the development of policies and procedures for the AML transaction monitoring life cycle, including scenario validation, segmentation, and optimisation tool reviews.
• Support changes to the Sanctions Screening Systems Tuning and Optimization Procedure impacting sanction screening models and tuning.
• Support large strategic optimisation and segmentation programs to enhance and tune MUFG’s GFCD Transaction Monitoring and Sanctions Screening Programmes.
• Recommend customer segmentation and optimisation for MUFG’s GFCD monitoring system across multiple lines of business.
• Contribute to the development of models involving tuning, calibration, segmentation, and optimisation.
• Perform model validation, memorialising model selection rationales and defined assumptions.
• Coordinate with regional I&A teams for global model implementation.
• Collaborate across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.
• Prepare reports and related documentation for internal stakeholders, identifying transactional data analysis trends, scenario effectiveness, and risks, and making recommendations for improved tuning and optimization activities.
• Conduct ATL/BTL testing and interpret results for model performance.

Work Experience

Experience within a global bank, consulting firm, or regulatory agency is essential. A strong track record in AML and Sanctions Screening model tuning, data analytics, and/or compliance systems is required. Candidates should have experience working with transaction monitoring or sanctions screening platforms, regulatory submissions or model documentation for audits, and involvement in global or cross-regional model implementation.

Skills and Experience

Functional / Technical Competencies:

• Proficiency in SQL, Python, or R for data analysis.
• Comprehensive understanding of statistical sampling and model validation techniques.
• Well-developed understanding of regulatory expectations for model governance.
• Experience using vendor systems (e.g., Actimize, Hotscan, Siron).
• Solid understanding of machine learning techniques (e.g., decision trees, neural networks), entity resolution, and similar data science domain expertise.
• Experience managing stakeholder relationships within and outside of the local function/role.
• Knowledge of a wide variety of financial crimes compliance laws and regulations.
• Excellent judgment and analytical skills.
• Strong written and verbal communication skills.

Education / Qualifications:

• Degree or equivalent industry standard qualification.
• Certified Anti-Money Laundering Specialist (CAMS), Certified Global Sanctions Specialist (CGSS), or equivalent preferred.

Personal Requirements

• Strong leadership skills with the ability to manage and motivate teams.
• Effectively collaborates with colleagues and engages inclusively.
• Conflict management skills and ability to foster a positive team environment.
• Excellent communication and interpersonal skills.
• Ability to communicate effectively across all levels and act with integrity.
• Openness to others’ ideas and inclusive engagement.
• Strong decision-making skills with sound judgment.
• Analytical and critical thinking to identify multiple paths to success.
• Structured, logical approach and strong problem-solving capabilities.
• Results-driven with a strong sense of accountability.
• Ability to operate with urgency and prioritize effectively.
• Strives for continuous improvement and values learning as a lifelong goal.
• Proactive, motivated approach with optimism and flexibility.
• Calm under pressure, able to perform well in challenging environments.
• Resilient and adaptable to changing circumstances.
• Leverages technology to drive efficiency and results.
• Understands and applies industry trends and best practices.
• Ability to manage large workloads and tight deadlines.
• Excellent attention to detail and accuracy.

Performance and Duties

The role holder will be assessed according to their employing entity’s performance framework, with input from the dual-hatting entity as relevant. The job description will be reviewed and amended in consultation with the role holder as duties and responsibilities change. Other duties within the scope and spirit of the role may be requested. This role may involve international travel.

Managing Conflicts of Interest

The role holder will have responsibilities for both MUFG Bank and MUFG Securities EMEA plc. Duties must be performed on an entity-neutral basis without favor, adhering to applicable regulatory requirements to support each business and maintain legal entity integrity. Working terms are dictated by functional mandates and relevant agreements. The role holder will identify and resolve potential conflicts in needs between MUFG Bank and MUFG Securities EMEA plc, escalating to their manager when required.

MUFG is open to considering flexible working requests in line with organisational requirements. MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected, and their opinions count. The company supports equality, diversity, and inclusion in recruitment and employment, opposing all forms of discrimination. Recruitment decisions are made non-discriminatorily, identifying the right skills for the right role in accordance with legal obligations.

Key skills/competency

• Financial Crime Operations
• AML/KYC
• Sanctions Screening
• Data Analytics
• SQL
• Python/R
• Model Tuning
• Regulatory Compliance
• Machine Learning
• Stakeholder Management