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Commercial Banking –Data Science, Analytics & Insights

Req #: 170114830
Location: Chicago, IL, US
Job Category: Operations
Job Description:
Data Science, Analytics & Insights - Intelligent Solutions
 
 
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 world’s most prominent corporate, institutional and government clients under its JPMorgan Chase & Co brands. JPMorgan Chase & Co.is committed to providing a comprehensive set of benefits choices to meet different employee needs and lifestyles, which include choices such as fully paid parental leave time, health care insurance and retirement benefits.
 
Commercial Banking (CB) serves more than 30,000 clients, including corporations, municipalities, financial institutions, and not-for-profit entities with annual revenues generally ranging from $20 million to $2 billion. The Firm's broad platform positions the Commercial Bank to deliver extensive product capabilities - lending, treasury services, investment banking, and asset management - to meet our clients' domestic and international financial needs.
 
 
 
The JPMIS Data Science, Analytics & Insights Associate is responsible for working across teams to develop, execute, and evaluate actionable data science and analytical solutions in a consulting-style environment that places a premium on creative problem solving and client interaction. The role works on strategic, highly visible projects with internal clients from Consumer, Commercial, Asset Management, Investment bank, and Corporate lines of business. It is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm.
 
The successful candidate is a self-starter who can design, plan and execute on projects to meet specific client needs. The position offers an opportunity to:
 
  • Apply strategic, analytical and data science skills to broad range of challenges faced by the enterprise
  • Develop deep domain knowledge of various financial services and products including credit cards, demand deposit accounts, loans, asset management, and treasury
  • Deepen market knowledge of various industries including retail sales, payments, small businesses, consumer and commercial credit, investment vehicles, cyber security, cash management, human behavior, operational efficiency and financial technologies
  • Gain technical expertise in cutting edge big data technologies and methods (Hadoop, Spark, Hive, Impala, and Python)
  • Grow leadership skills by managing clients and projects, and by socializing new ideas across the firm
 
Responsibilities
 
   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 client 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 story teller 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 to support diverse book of work
  • Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones
  • Demonstrate intellectual curiosity for solving difficult business problems
  • Drive data science and analytics strategies for JPMIS clients and partners including recommendations on analytical products, services, protocols, and standards
 
Qualifications:
 
  • Undergraduate or advanced degree in analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, Physics), data bootcamp certification, or industry experience in analytical roles (e.g., consulting, modeling, data analysis)
  • 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
  • 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
  • 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
  • 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 (e.g., SQL, Hive, Hadoop, Spark, Python, R)
  • Financial services background preferred, but not required
  • Experience at top tier analytics consulting firm is a plus
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