JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the worlds most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http://www.jpmorganchase.com/.
Chase Consumer & Community Bank (CCB) serves 61 million households and 4 million small businesses with a broad range of financial services, including banking, credit cards, auto finance, payments, mortgages, and investment advice.
The CB Decision Science Team is responsible for working across our retail bank to develop and execute actionable data science and analytical solutions to advance our marketing, product, distribution, and sales strategies. The team also supports a strong control environment and seeks to protect our customers. Within these organization is a team focused on distribution strategy and analytics, sales and conduct practices, and operational controls. This team develops strategies, tools, and analytics, and reporting. Our objective is to support the growth and optimization of the branch & ATM network, the innovation of our servicing capabilities, and the creation of sound control analytics to that ensure we meet stakeholder expectations and customer needs.
This is a unique opportunity for a highly skilled analyst and data science professional to have meaningful impact on a large scale at a leading financial services firm. The role include a significant initial focus on developing strategies and insights to prevent loss impacts to vulnerable customers and applying analytics to guide the development of new branch capabilities. The position offers an opportunity to work with cutting edge big data technologies and methods and to apply analytical, data science and strategic skills to broad range of challenges faced by the enterprise.
Identify and develop initiatives to improve our decision science capabilities ultimately building an executing against a 12-24 month roadmap to transform analytics for key business areas
Develop, plan, and execute complex analytical projects engaging resources across the organization and, at times, leading purpose built teams
Synthesize analytical findings for consumption by senior business executives
Become trusted advisor and thought leader to executive level customers regarding applications for analytics and implications of analytic results
Customers will, at a minimum, include executives responsible for deployment of new branch capabilities as well as business practice executive with control accountabilities
Establish and manage relationships with clients and internal partners
Deliver scalable solutions that unlock value and enhance capabilities of existing CCB teams through collaborative partnerships
Invent new ways to answer key business questions or mitigate risk
Provide thought leadership to the Data & Analytics organization on topics including analytics best practices, methods, tools, infrastructure needs
Provide mentoring and coaching to peers and junior analysts, setting standards of excellence by demonstrating professional expertise, strong work ethic, integrity and professional behavior
5+ years of industry experience in data science or business analytics roles (e.g., marketing analytics, sales analytics, risk analytics, business insights)
Bachelor’s degree in relevant quantitative field required, advanced degree in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, and Data Science fields) and/or MBA preferred
Experience leading initiatives resulting in material value for the business
Thought leader in data science and/or analytics who can help our internal clients define their business problem, create solutions to address it, and execute the implementation
Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner to senior executives
Expert knowledge in quantitative methods and experience across a range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python, R)
Financial services background preferred, but not required
Domain specific expertise including fraud/risk analytics, bank operations, and distribution preferred, but not required
Req #: 200000202
Location: Columbus, OH US
Job Category: Data & Analytics
Employment Type: Full Time
Potential Referral Amount: US Dollar (USD)