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Assistant Vice President
Mitsubishi UFJ Financial Group
Jersey City, NJ, United States
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Description
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world with total assets of over $2.4 trillion (as ranked by SNL Financial, April 2016) and 140,000 colleagues in nearly 50 countries. In the U.S., we’re 13,000 strong, working together to positively impact every customer, organization, and community we serve. We achieve this by delivering on our values, putting people first, fostering long-term relationships built on honesty and mutual understanding, and inspiring the best in each other. This is all part of our inclusive, high-performing culture supported by Total Rewards that include our cash balance pension plan. Join a team that’s working to fulfill its vision to be the world’s most trusted financial group.
Data Science Professional, Assistant Vice President
Job Summary
As Assistant Vice President of Data Science, you will provide the support on how to apply data analytics methods or machine learning algorithms on the wealth of internal and external data collected for MUFG’s business. 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 business leaders throughout the organization to create a federated data science function, facilitating the development of data analytics solutions using consistent data definitions governed by OCDO.
Primary Responsibilities
• Support the consultative relationships with key business stakeholders, proactively identifying data analytics needs to meet business, regulatory, and compliance requirements
• Support the delivery of data analytics solutions from start to finish, including data preparation (e.g., source, scrub, mine and integrate relevant data sources) and relevant data science work streams
• Support proof of concept projects to test and adopt emerging data analytics tools and methods
• Support the conversion of ideas and business needs into meaningful data analytics work along with data requirements
• Support the development of a standard process on defining data requirements, managing governance, creating data analytics solutions for use throughout the organization
• Support the identification of new approaches to complex design problems related to data science work products
Qualifications
• Bachelor’s Degree in Statistics, Mathematics, Operations Research, Data Science, and Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math). Masters’ degree in “STEM” preferred
• Minimum 5+ years of experience in IT with at least 2 years designing, developing, implementing and maintaining large-scale data science programs
• Minimum 5+ years of experience in leading multi-discipline technical teams; experienced in leading large global teams of both full time and contract employees
• Experience with data visualization tools such as Tableau, Qlikview, Microsoft, or SAS Visual Analytics on very large data sets
• Experience in one or more of the following: statistical modeling, predictive analytics, data mining, and machine learning
• Advanced query programming skills across multiple database environments, such as AWS Redshift, Oracle, SQL Server, Greenplum, and Hadoop
• Experience in metadata process, data lineage and traceability repositories and technologies
• Experience in wide range of Analytics, Data Science, Business Intelligence and Big Data technologies
• Experience in highly distributed complex business and technology environments and emerging technologies
• Experience with IT infrastructure, IT application technologies and frameworks
• Working knowledge with data warehouse/mart design and implementation techniques
• Proven track record working with technical, customer, and functional teams
• Proven success in working globally in a global matrix organization across teams and cultures
• Strong communication and persuasion skills, including the ability to create messaging materials that meet stakeholder preferences, including ability to present concepts verbally
• Ability to work in a fast-paced, global environment with multiple priorities that require superior project management and decision-making capabilities
• Ability to establish mutually productive and positive relationships with internal and external stakeholders
• Ability to influence non-technical aspects of technology change (e.g. business and operational architectures)
• Ability to break down complex requirements into meaningful, structured and actionable parts
• Ability to analyze complex organizational and technical issues related to technology and identifies opportunities to improve performance and efficiency
• Exposure to Hadoop or other big data and cloud computing technology is a plus
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.