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Assistant Vice President, Financial Crime Operations Intelligence and Analytics Design, Tuning [...]

MUFG Americas

Greater London

On-site

GBP 70,000 - 90,000

Full time

Today
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Job summary

A leading financial group is seeking an experienced professional to support Financial Crime Operations in the UK. The role involves optimizing transaction monitoring and sanctions screening, providing analytics support, and developing detection scenarios. Ideal candidates will have a strong background in AML/KYC and data analysis, proficiency in SQL or Python, and excellent communication skills. Join this dynamic team to make a meaningful impact in the financial industry.

Benefits

Flexible working options
Inclusive company culture
Career development opportunities

Qualifications

  • Experience in financial crime compliance, specifically AML and KYC.
  • Proficiency with transaction monitoring and sanctions screening platforms.
  • Strong analytical and problem-solving abilities.

Responsibilities

  • Support the Financial Crime Operations team.
  • Provide analytics for transaction monitoring.
  • Help develop and implement detection scenarios.

Skills

SQL
Python
R
Data analysis
Statistical sampling techniques
Strong communication skills

Education

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

Tools

Actimise
Hotscan
Siron
Job description

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.

In MUFG, we are committed to being the world’s most trusted financial group. As part of our commitment, in our Global Financial Crime Directorate (GFCD), we are consolidating and improving key elements of our global financial crime detection and prevention operations by creating a network of Operations.

Our Operations will enable us to increase and enhance the effectiveness of our operational financial crime prevention detection expertise and oversight, by consolidating and focusing the knowledge, capabilities, insight and experience of our people along with refined and improved processes, training and technologies.

We want to work with ambitious, energetic, service-focused people with experience of working in Financial Crime, who are dedicated to protecting our customers – and the wider global economy, while developing world-class anti-money laundering (AML) and know-your-customer (KYC) skills and capabilities.

NUMBER OF DIRECT REPORTS

0

MAIN PURPOSE OF THE ROLE

You will be supporting the Operations for our Financial Crime Operations team, delivering against our objectives for Europe, Middle East and Africa (EMEA). In this role you will be working within the Operations Intelligence & Analytics (I&A) team:

Providing analytics support developing, optimising and modifying segmentation to improve transaction monitoring which detect 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

KEY RESPONSIBILITIES
  • Working to identify detection scenarios.
  • Providing analytics support for developing, tuning, optimising and modifying segmentation to improve transaction monitoring and sanctions screening systems.
  • Tuning and optimization of AML, KYC and sanctions screening models
  • Helping to coordinate the implementation of scenarios, which detect financial crime.
  • Supporting the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimisation tools.
  • Supporting any changes to Sanctions Screening Systems Tuning and Optimization Procedure that would impact sanction screening models and tuning.
  • Supporting large strategic optimisation and segmentation program to enhance and tune MUFG’s GFCD Transaction Monitoring and Sanctions Screening Programmes.
  • Recommending customer segmentation and optimisation for MUFG’s GFCD monitoring system across multiple lines of business.
  • Contributing to the develop of models involving tuning, calibration, segmentation and optimisation.
  • Performing model validation, memorialising model selection rationales and defined assumptions.
  • Coordinating with regional I&A teams to implement on the global model.
  • Collaborating across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.
  • Preparing 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
  • Conducting ATL/BTL testing and interprets results for model performance
WORK EXPERIENCE
  • Experience within an area of a global bank, consulting firm or regulatory agency is essential for this role. Strong track record in AML and Sanctions Screening model tuning, data analytics, and / or compliance systems is required
  • Experience working with transaction monitoring or sanctions screening platforms
  • Experience with regulatory submissions or model documentation for audits
  • Involvement in global or cross-regional model implementation
SKILLS AND EXPERIENCE
  • 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., Actimise, Hotscan, Siron)
  • Solid understanding of machine learning techniques (e.g., decision trees, neural networks), entity resolution, and similar data science domain expertise
  • Experience of managing stakeholder relationships within and outside of the local function/role.
  • Knowledge of a wide variety of financial crimes compliance laws and regulations.
  • Excellent judgement 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 in accordance with their employing entity’s performance framework and process with relevant input obtained from the dual hatting entity as relevant.

As duties and responsibilities change, the job description will be reviewed and amended in consultation with the role holder. The role holder will carry out other duties as are within the scope, spirit and purpose of the role as requested by their line manager or Department Head.

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.
  • The role holder will be required to perform their duties and responsibilities on an entity neutral basis, without favour.
  • The role holder is required to follow regulatory requirements applicable to ensure each business is appropriately supported and to maintain the legal entity integrity of each of MUFG Bank and MUS.
  • Working terms are dictated by functional mandates, the terms of the Dual-Hat Arrangement Agreement in place between MUFG Bank and MUFG Securities EMEA plc and any other relevant agreements entered into between MUFG Bank and MUFG Securities EMEA plc.
  • The role holder will have responsibility for identifying and resolving where there may be a difference or conflict in needs between MUFG Bank and MUFG Securities EMEA plc, escalating to their manager where required.

We are 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. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.

We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.

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