About the Role
Internally know as Analytic Consultant 4 )
The incumbent will build a strong analytical foundation to consolidate information across interactions, customers, team members and products.
This foundation will in turn provide key metrics and reporting to enhance accountability throughout Community Banking’s branch leadership structure.
Responsibilities include :
Identify and implement a data-driven, consistent process of surveillance and supervision for branch activities, with a particular emphasis on sales practices
Collaborate with senior leaders to develop robust actionable metrics and reporting to monitor sales practice risk
Leverage advanced data analytics and machine learning techniques to identify risk patterns and trends and provide insights on the effectiveness of Community Banks Supervision and Oversight programs and processes
Leverage both structured and unstructured data and Big Data analytic tools and platforms to provide insight into risk trends
Partner closely with leaders across Community Banking to identify and optimize the ongoing risk reporting necessary to support first line accountability for sales practices and other key risk issues
Produce Second Line of Defense analytics and metrics to supplement the First Line of Defense field supervision and oversight
Lead efforts in collaboration with First Line and Second Line of Defense groups to research, identify and implement workflow and real-time alerts capabilities
Leverage data and analytics to inform and influence line of business strategic planning team in long term plan development around sales supervision
Partner closely with other Community Bank Risk Management teams to support Branch Quality Reviews, Compliance Reviews and other activities providing data analytics as required
Market Skills and Certifications
Essential Qualifications :
Candidate must be a graduate of a B.A. / B.S. course in College (preferably in Applied Math, Statistics, Engineering, Physics, Accounting, Finance, Economics, Econometrics, Computer Sciences
6+ years of experience in one or a combination of the following : reporting, analytics, or modeling; or a Master’s degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business / social and behavioral sciences with a quantitative emphasis and 4+ years of experience in one or a combination of the following : reporting, analytics, or modeling
Demonstrated experiece in utilizing SAS as an analytic tool
Experience with Big Data capabilities, especially Teradata Aster, Hadoop, and Spark
Exposure to data visualization expertise using a BI Tool e.g., Tableau, Microsoft BI, etc is a must
Knowledge of Wells Fargo Community Bank products, sales processes, data and systems
Prior experience working with analytic capabilities
Effective leadership ability to drive successful execution of strategic plans; ability to plan, prioritize and set goals.
Must possess strong collaborative skills
Excellent analytical, critical thinking and problem-solving skills with attention to detail and accuracy.
Ability to communicate powerfully and prolifically to senior and executive leaders and simplify the complex
Ability to influence without direct authority, create and manage (while achieving results) large-scale change and influence people at all levels of the organization
Demonstrated ability to execute effectively in a matrixed organization, develop partnerships with many business and functional areas.
Demonstrated ability to build and maintain strong credible relationships with key stakeholder groups including executive management, regulatory examiners and internal auditors
Ability to lead through adversity and adjust to changing priorities
Demonstrated SQL skills to include the ability to write complex queries and database knowledge in order to analyze data sources across a variety of sources including but not limited to BMG, EIW, Customer Interactions, MDSS, RAMP, Minding The Store, and STS
Experience in Python or R is a plus
Demonstrated experience with both supervised and unsupervised machine learning techniques
Candidate must be willing to work on late MID shift (5 : 00PM - 2 : 00AM)