MUFG Union Bank Global Financial Crimes Data Insights & Analytics Team, Vice President in Irving, Texas
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 (as ranked by S&P Global, April 2018). In the Americas, we’re 13,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, developing positive relationships built on integrity and respect. It’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. We’re a team that accepts responsibility for the future by asking the tough questions and owning the solutions. Join MUFG and be empowered to make your voice heard and your actions count.
Reporting into the Head of the Global Financial Crimes Division’s (GFCD) Data Insights and Analytics (DIA) team, which is part of the GFCD Operations Intelligence & Analytics (I&A) function, this new position has been created for the purpose of building out MUFG’s GFCD Operations I&A capabilities. This is a global position that will work closely with regional DIA and I&A teams located in the Americas, Asia, EMEA and Japan.
This position will be responsible for supporting a team that provides a consistent and cohesive intelligence and analytics capability covering all financial crime risk taxonomies across all products, branches and entities where MUFG operates. The DIA team supports financial crimes investigations through intelligence, statistics, advanced analytics, and technology encompassing data capture, network analysis, visualization, data analysis, and in-depth thematic reviews. This role requires a strong skillset in predictive analytics and modeling. The incumbent will be responsible for supporting leadership to ensure a globally consistent analytics effort that enables the proactive identification of potential financial crime risks.
In connection with the Global Financial Crimes program –
Support the identification and implementation of predictive analytics to be leveraged and applied globally.
Create advanced, complex statistical models to be used for identifying financial crime risks.
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
Analyze structured data to identify potential financial crime risks using statistical modeling, segmentation strategies, optimization algorithms and data mining analyses (regression, predictive).
Use advanced data visualization techniques to provide support to financial crimes investigations.
Coordinate with regional Intelligence & Analytics teams to implement the global operating model.
Work collaboratively across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.
A Master’s Degree in Statistics, Mathematics or Biostatistics strongly preferred.
Bachelor’s degree in Statistics, Mathematics or similar with five plus (5 ) years relevant experience will be considered.
Seven plus (7 ) years of internal or financial industry and compliance experience, preferably within a global organization in a role directly involved with business intelligence or data analytics capacity.
A background in anti-money laundering and/or sanctions compliance is preferable.
Understanding of database structures and how to query data (e.g., using SQL) from Enterprise Data Warehouses.
Expert knowledge of statistics, as well as experience with forecasting and prediction.
Familiarity in working with large sets of data and synthesizing it into analyses and insights.
Highly skilled proficiency in the use of spreadsheets, graphing, and presentations with a working knowledge of dashboards (mastery of Excel and polished in PowerPoint).
Practical ability to visualize data, communicate about the data, and use it effectively.
Comfortable operating with data that is sometimes incomplete and/or messy.
Experience interacting with Executive Committee Leadership, control function leadership, and compliance subject matter experts.
Proven excellence in execution in complex and demanding situations.
Collaborative with strong interpersonal communication skills.
Systemic thinker across the enterprise.
Process-oriented and a strong ability to develop appropriate program-enhancing strategies.
Detail-oriented and organized execution.
Executive-level presentation skills.
An Enterprise Risk Management perspective.
Knowledge of programming languages such as Python and/or R preferred.
Knowledge of analytical tools and software including SAS, Alteryx Designer/Server, SQL Server, Oracle, Power BI, Tableau preferred.
Experience interfacing with banking regulators and enforcement staff.
Thorough understanding of an effective financial crimes risk management framework.
Demonstrated ability to manage multiple projects simultaneously.
Ability to interact effectively at all levels of the organization, including Bank staff, management, directors and prudential regulators.
Ability to work autonomously and initiate and prioritize own work.
Ability to work with teams of project managers.
Solid judgment, strong negotiating skills, and a practical approach to implementation – including knowledge of Bank systems.
Ability to balance regulatory requirements with the best interests of the Bank and its customers.
Role may require some domestic and/or international travel.
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.
A conviction is not an absolute bar to employment. Factors such as the age of the offense, evidence of rehabilitation, seriousness of violation, and job relatedness are considered in all employment decisions. Additionally, it's the bank's policy to only inquire into a candidate's criminal history after an offer has been made. Federal law prohibits banks from employing individuals who have been convicted of, or received a pretrial diversion for, certain offenses.
Primary Location: TEXAS-Irving
Schedule Full Time
Req ID: 10041245-WD
MUFG Union Bank
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