MUFG Union Bank Data Scientist, Vice President in Irvine, California
Are you passionate about creating an exceptional client experience?
Discover your opportunity with Union Bank®, a division of the Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world. At Union Bank, we have our clients’ best interest in mind and draw on more than 160 years of experience to understand their distinct needs to tailor our solutions. We’re part of 180,000 colleagues around the globe striving to be the world’s most trusted financial group, knowing that trust starts with a culture of putting people first and empowering you to achieve your potential. Join Union Bank, where being inspired is expected and creating results is rewarded.
The Data Science Lead will provide thought leadership 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.
Develop and maintain consultative relationships with key business stakeholders, proactively identifying data analytics needs to meet business, regulatory, and compliance requirements.
Partner with Technology teams and business stakeholders to lead 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.
Identify and lead proof of concept projects to test and adopt emerging data analytics tools and methods.
Convert ideas and business needs into meaningful data analytics work along with data requirements.
Develop a standard process on defining data requirements, managing governance, creating data analytics solutions for use throughout the organization.
Identify new approaches to complex design problems related to data science work products.
Bachelor’s Degree in Statistics, Mathematics, Operations Research, Data Science, Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math).
Masters’ degree in “STEM” preferred
Minimum 10 years of experience in IT with at least 5 years designing, developing, implementing and maintaining large-scale data science programs
Minimum 10 years of experience in leading multi-discipline technical teams; experienced in leading large global teams of both full time and contract employees Influential and proven leadership with the ability to partner, inspire, and build consensus Detailed-oriented planner who understands business drivers toward emerging data science solutions
Experience leading large scale organizational change and successfully managing through business and process transformation in ambiguous environments
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
Proven ability to execute high-profile projects and to provide thought leadership to an organization
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.
Primary Location: CALIFORNIA-Irvine
Schedule Full Time
Req ID: 10041612-WD