Data Science Manager

JPMorgan Chase
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Job Description

Chase Consumer & Community Bank (CCB) serves 61 million households and 4 million small businesses with a broad range of financial services. CCB Business Banking provides financial advice as well as deposit, credit, and cash management products to more than 3 million small business owners with up to $20 million in annual revenue. In 2020, we were No. 1 among big banks in J.D. Power’s business customer satisfaction survey, No. 1 in primary bank market share, and the No. 1 provider of Paycheck Protection Program loan relief dollars in both 2020 and 2021.

The Business Banking Client Analytics Team is responsible for definition and execution actionable data science and analytical projects that inform the Business Banking Executive Leadership Team (e.g., CEO, CFO, Chief Strategist, etc.). Our team partners with stakeholders in a consulting-style environment that places a premium on creative problem solving and stakeholder interaction.

The role works on strategic, highly visible initiatives that set the roadmap for a major player in the SMB space – an industry that is evolving very quickly. This is unique opportunity for an experienced practitioner in data science, analytics, and econometrics to work with cutting edge big data technologies and methods to address the broad range of challenges faced by the enterprise. This work moves bottom line of the firm by informing our most critical decisions with timely, actionable data insights.

 Key Responsibilities

  • Leadership for data science, advanced analytics, and econometrics projects:
  • Provide thought leadership on data science best practices, methods, and tools
  • Manage junior data science and analytics teammates
  • Develop, plan, and execute analytical projects as an individual contributor and in teams
  • Bring order to disparate requirements with high tolerance for ambiguity, very strong problem-solving ability, and excellent client engagement skills
  • Pivot quickly as guidance evolves, always keeping the ultimate project objective in mind. Manage evolving project requirements while continuously learning quickly on-the-job
  • Establish and embrace guidelines to ensure consistency and high quality of presentation materials in appearance, tone, and style
  • Collaborate with unit managers, end users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities
  • Synthesize analytical findings for consumption by senior business executives
  • Develop preliminary hypotheses rapidly, focusing on the most important insights to meet the business need
  • Be a storyteller capable of delivering practical data insights in a compelling manner actionable by senior leadership
  • Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations
  • Become trusted advisor and thought leader on business data and analytical techniques
  • Establish and manage relationships with clients and internal partners
  • Develop deep subject matter expertise in various financial and operational domains
  • Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones
  • Demonstrate intellectual curiosity for solving complex business problems
  • Drive data science and analytics strategies for clients and partners including recommendations on analytical products, services, protocols, and standards

Qualifications

  • 5+ years of industry experience in analytical roles (e.g., consulting, modeling, data analysis)
  • Bachelor’s degree required, advanced degree preferred in analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, Physics)
  • Ability to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic
  • Thought leader in data science and analytics who can define analytical agenda for projects, demonstrates ability to frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, etc.), and executes with precision
  • Influencer with great interpersonal skills and proven ability to achieve alignment across a range of different views and interests
  • Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner to senior executives
  • Strong aptitude for technical concepts and ideas
  • Knowledge of modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models)
  • Experience across broad range of modern data science and analytics tools and languages (e.g., SQL, Scala, Python, R)
  • Financial services background preferred, but not required
  • Experience at top tier analytics consulting firm is a plus

Company Info.

JPMorgan Chase

For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world. Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries. JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase

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