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Data Science Manager
Union Bank
Irvine, CA, United States
Job Details - this job has expired, please see similar jobs below
This position will ultimately be managing the Data Scientists that are responsible to evolve the organization to use key insights and data to drive internal decision making and strategic planning efforts that will transform Union Bank into a business that truly differentiates and competes on market-driven analytics. This role will be the epicenter of evolving analytics supporting decisioning of strategic initiatives.
Major Responsibilities:
20% -Oversees the Data Scientists day to day activities. Establish and monitor performance objectives; appraise performance and recommend salary increases; ensure employee training and development; acts as mentor; hire and terminate employees as necessary. Coach and counsel staff with a focus on improving the underwriting skills.
20% - Source Data: Identifies and integrates data sourced internal and external to the bank and plugging in accordingly. Builds strong business domain knowledge and develops necessary relationships with data owners. Correlates internal and external data points and rapidly structures big, unstructured data for relevant use.
20% - Analyzes Data: Analyzes both quantitative and qualitative information using state-of-the-art data processing tools and/or analytical methodologies. Finds patterns streaming from different sources, infers from those patterns, customer behavior and writes statistical models to pinpoint behavioral triggers. Analyzes structured data to identify business opportunities using statistical modeling, segmentation strategies, optimization algorithms, and data mining analyses (regression, predictive).
20% - Draws Conclusions: Translates findings into business value.
20%- Presents Findings: to drive strategic decisions. Summarizes well supported recommendations that are relevant, timely, and actionable. Use advanced data visualization techniques to provide a concise and compelling summary of analysis findings in reports and presentations to executive management. Provide continual consultation with senior and executive management to identify strategic direction for continual improvement relating to emerging data trends and issues
Qualifications
Education, Licensure, Year of Experience (and type of work experience):
• 5 -10 years of experience working in a business intelligence, operations management, or data analytics capacity.
• Background, relevant work experience and education shows a mixture of math, engineering, curiosity, writing, and skepticism.
• Knowledge of statistics, as well as experience with forecasting and prediction.
• Excellent written and verbal communication skills, with an ability to express business concepts in technical terms and vice-versa.
• Master’s Degree in Economics, Statistics, Mathematics, Sociology (“Methods") or Biostatistics preferred;
• Bachelor’s degree in Statistics, Mathematics or similar with 8+ yrs relevant experience will be considered.
• Understanding of database structures (such as SQL), and how to query data from Enterprise Data Warehouses.
• Prior audit or consulting experience preferred.
• Knowledge about retail banking distribution, Omni-channel components, and banking products.
• Extensive experience in data and financial analytics and competitor profiling.
• Ability to anticipate future industry needs, trends and direction and convert that knowledge into strategic plans.
• Strong presentation and consultative skills, ability to translate technical findings into practical deliverables, and demonstrated success evangelizing analytics to multiple levels of management.
• Familiarity in working with large sets of data and synthesizing it into analyses and insights to help build strong business cases.
• 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 utilize it effectively.
• Comfortable operating with data that is sometimes incomplete and/or messy.
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.