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Data Insights & Analytics Specialist

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  • Requisition # 10043722-WD
  • Job Type Day
  • Location Irving, TEXAS
  • Other Locations ARIZONA-Chandler
  • Date Posted 06/02/2021

Your potential. Your opportunity.

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 2020). 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.

*Some MUFG roles require that individuals be fully vaccinated against COVID-19, subject to medical and/or religious exemptions, if applicable. Should you be selected for an interview, your recruiter will provide additional information.

Job Summary:

Reporting into the Head of the Global Financial Crimes Division’s (GFCD) Data Insights and Analytics Americas (DIAA) 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 position will work closely with I&A teams located in the Americas and Global DIA.

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, performing data analysis with large datasets, model documentation, proactive identification of potential financial crime risks. The incumbent will also be responsible for supporting model governance and documentation function covering all BSA/AML/OFAC models.  

Major Responsibilities:

In connection with the Global Financial Crimes program –

  • Support the identification and implementation of predictive analytics to be leveraged and applied in the Americas.
  • 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.
  • Document Model Owner documentation to meet Model Governance Policies on Change Management, Model Performance and Operational Controls.
  • Work with model users to ensure adequate testing and documentation of performance monitoring.
  • Coordinate with Americas Model Risk Management team on model validation engagements, including planning model validation, provisioning of request items, performing and overseeing issue remediation.

Qualifications

  • Experience/Skills

  • A Master’s Degree in Statistics, Mathematics or Computer science/engineering discipline 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.
  • Strong writing and editing skills.
  • 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.

The above statements are intended to describe the general nature and level of the 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.

 Additional skills/requirements

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. Statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc.) experience related to BSA/AML in the banking industry is a plus. Role may require some domestic and/or international travel.

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