Director - Fraud Data and Analytics

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

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world. Across the globe, we’re 180,000 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.

This is a remote position. A member of our recruitment team will discuss location preferences with you in more detail.

Job Summary:

The Fraud Advanced Analytics Lead will provide thought leadership on applying advanced analytics methods to the wealth of internal and external data to more effectively mitigate fraud risk and loss across the enterprise. In addition to collaborating with leaders in the Office of the Chief Data Officer (OCDO), this role will work closely with our Technology teams and other business leaders throughout the organization to create a federated fraud advanced analytics function, facilitating the development of advanced analytics solutions using consistent data definitions governed by OCDO.

The position is responsible for managing all components of the critical AML transaction monitoring system to ensure compliance with BSA/AML requirements, FCRM’s model governance policy and procedures in adherence with regulatory and internal requirements, application of advanced analytics for money laundering and fraud detection. The Advanced Analytics – Manager leads a team of statisticians, data miners and developers to support the FCRM organization. The Advanced Analytics Manager will support FCRM’s data analysis activities related to anti-money laundering, counter-terrorism financing, fraud detection and mitigation, and corporate security. The Advanced Analytics Manager is also responsible for activities related to regulatory examination, internal audit, and model validation as applicable.

Major Responsibilities:

• Employ analytics across multiple business lines to enable leaders to change decision making related to fraud management

• Develop a standard process on defining data requirements, managing governance, creating advanced analytics solutions for use throughout the organization

• Identify new approaches to complex design problems related to advanced fraud analytics

• Lead proof of concept projects to test and adopt emerging advanced analytics tools and methods

• Ensure operationalization of successful tools and methods.

• Americas Model Risk Management on validations of FCRM’s models and supporting documentation.

• Manage a highly technical staff of statisticians/data miners, ensuring adequate technical training, performance appraisals, salary recommendations, promotions, terminations, and other administrative matters as they relate to the AI department

• Develop and maintain consultative relationships with key business stakeholders, proactively identifying and addressing advanced analytics needs to meet business, regulatory and compliance requirements

• Establish a model maintenance strategy and curate predictive models over time Develop and design presentations, reports, and other deliverables to communicate findings and make recommendation

Qualifications:

• Ability to use data to write and tell compelling stories – executive level communication skills

• Deep domain expertise with enterprise fraud analytics and demonstrated experience with data-driven statistical analysis

• Bachelor’s Degree in Statistics, Operations Research, Data Science, Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math).

• SAS programming with 10 years experience preferably in fraud and/or AML related systems. Previous experience with SAS AML solution preferred.

• Minimum 5 years of experience in leading multi-discipline technical teams with hands-one experience in leading global teams of both full time, contract and offshore employees

• Demonstrated hard/soft coaching skills to develop teams

• Detailed-oriented planner who understands business drivers toward emerging advanced analytics technology solutions

• Experience in wide range of Advanced Analytics, Data Science, Business Intelligence and Big Data technologies

• Experience with IT infrastructure, IT application technologies and frameworks

• Applied knowledge of applying data mining and other analytical techniques with experience supervising data and quantitative analysts.

• Knowledge of BSA/AML and fraud detection and the ability to apply quantitative methods in identifying and detecting AML and fraud risks

• Working knowledge with data warehouse/mart design and implementation techniques

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives, and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on the basis of any protected category.

Some MUFG roles require that individuals be fully vaccinated against COVID-19, subject to exemptions for medical or religious reasons, as well as any other reason required by applicable law or order. Should you be selected for an interview, your recruiter will provide additional information.