Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 7th largest financial group in the world. Across the globe, we’re 160,000 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.

OVERVIEW OF THE DEPARTMENT/SECTION

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 Centres of Excellence (CoEs).

Our CoEs will enable us to increase and enhance the effectiveness of our operational financial crime prevention and 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 in banking and analytics, 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.

MAIN PURPOSE OF THE ROLE 

You will be supporting the CoE 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 CoE Data Insights and Analytics (DIA) team:

DIA team provides:

Consistent and cohesive intelligence and analytics capability covering all financial crime risk taxonomies across all products, branches and entities where the bank operates.

Exploratory data analysis in order to detect new patterns and trends in the data in order to mitigate financial crime risks.

Machine Learning models in order to have a more effective coverage and a deeper understanding of financial crime risks.

Support to financial crimes investigations team through intelligence, advanced analytics and technology encompassing data capture, network analysis and visualization, data analysis and in-depth thematic reviews. Support to tuning optimization team, building analyses and models required for the scenario tuning exercise.

KEY RESPONSIBILITIES

Supporting the definition of Data Insights & Analytics to be leveraged and applied globally. Analysing structured data to identify potential financial crime risks using statistical modelling, segmentation strategies, optimisation algorithms and data mining analyses (regression, predictive). Using advanced data visualisation techniques to provide support to financial crimes investigations. Coordinating with global and the other 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.

WORK EXPERIENCE

Extensive working experience within Data Analytics in banking or consulting. Experience with Machine Learning models and tools is strongly preferred.

SKILLS AND EXPERIENCE

Functional / Technical Competencies:

Proficient in Python, experience in using ETL tools preferably Alteryx Hands on experience in Tableau or Power BI or any visualization tools Experience of managing stakeholder relationships within and outside of the local function/role. Excellent judgement and analytical skills. Strong written and verbal communication skills.

Education / Qualifications:

Bachelor Degree in quantitative subject (i.e. Computer Science, Statistics, Economics) Preferred MSc degree in quantitative subject

PERSONAL REQUIREMENTS

Ability to communicate technical concepts to non-technical audiences. A proactive, motivated approach. A structured and logical approach to work. Strong problem-solving skills. Excellent interpersonal skills. The ability to manage large workloads and tight deadlines. Excellent attention to detail and accuracy. A calm approach, with the ability to perform well in a pressurised environment. Results driven, with a strong sense of accountability. Conflict management skills. The ability to operate with urgency and prioritise work accordingly. Strong decision-making skills, the ability to demonstrate sound judgement.

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.