ManilaWells Fargo & Company (NYSE : WFC) is a leading global financial services company with $2.0 trillion in assets and offices in over 37 countries.
Founded in 1852 and headquartered in San Francisco, Wells Fargo provides asset management, capital raising and advisory, financing, foreign exchange, payments, risk management, and trade finance services to support customers who conduct business in the global economy.
At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We also value the viewpoints of our team members and encourage them to be their best.
Join our diverse and inclusive team where you will feel valued and inspired to contribute your unique skills and experience.
We are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo.
It all begins with outstanding talent. It all begins with you. Learn more at our International Careers website. Market Job Description About Enterprise Global ServicesEnterprise Global Services (EGS) enables global talent capabilities for Wells Fargo Bank NA.
by supporting over half of Wells Fargo's business lines and staff functions across Technology, Business Services, Risk Services and Knowledge Services.
EGS operates in Hyderabad, Bengaluru and Chennai in India and in Manila, Philippines. Learn more about EGS at our International Careers website.
Department OverviewCommunity Banking Risk Management (CBRM) is responsible for independently overseeing the regulatory and operational risk activities within Community Banking.
About the RoleThe 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 Minimum Requirements : Candidate must be a graduate of a B.
A. / B.S. College Degree (4 years) preferably in Applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences with a quantitative emphasis 6+ years of experience in one or a combination of the following : reporting, analytics, or modeling Prior experience working with analytic capabilities.
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 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 Demonstrated expertise with SAS, Python or R 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 Demonstrated experience with both supervised and unsupervised machine learning techniques Demonstrated experience with Big Data capabilities, especially Teradata Aster, Hadoop, and Spark Demonstrated data visualization expertise using a BI Tool e.
accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law.
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