Senior Analytic Consultant

Wells Fargo

Manila, National Capital Region

4d ago

Job Description

About Wells Fargo Philippines

Wells Fargo Philippines enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Operations, Risk and Compliance, Project Management, Finance & Accounting and Data Analytics.

We operate in Taguig City, Metro Manila.

Department Overview

Community Banking Risk Management (CBRM) is responsible for independently overseeing the regulatory and operational risk activities within Community Banking.

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.

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)

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