Data Science Associate

JPMorgan Chase
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Job Description

CCB (Consumer & Community Bank) Data & Analytics Team unifies data and analytics talent, tools and capabilities from across CCB to demonstrate the tremendous value our people drive for our businesses. The team encompasses a variety of Data & Analytics disciplines, from data platform strategy and governance to data science, reporting and machine learning. We have a strong partnership with our dedicated Technology partners, who provide us with our cutting edge data and analytics infrastructure.

Joining CCB Data & Analytics means you sit in the engine that powers Chase with insights, inspires customer-centric innovation, and solves problems in a dynamic and effective manner. The team also offers significant learning and mobility opportunities for career development and future growth.

Working here means joining a collaborative, supportive team. We want your diverse perspective to help us innovate the next wave of analytical products and solutions for our clients. We’ll give you what you need to succeed from training to mentoring from senior leaders to projects that engage all your skills

Chase Auto Analytics Team is responsible for working across CCB to develop and execute actionable data science and analytical solutions which leverage Big Data in a consulting-style environment that places a premium on creative problem solving and client interaction. The team works on a large range of strategic, highly visible projects with internal clients using data from Consumer Banking, Home Lending, Card Services, Business Banking, Auto Finance, and Merchant Services to support end to end data and technology solutions supporting the Auto business. It is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm.

What to expect

The Data Scientist Associate is responsible for supporting the Auto Analytics team to:

  • 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 including recommendations on analytical products, services, protocols, and standards across the firm

About you

  • We're looking for highly-motivated individuals who can 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, and retail operations
  • Deepen market knowledge of various industries including retail sales, payments, small businesses, consumer credit, investment vehicles, human behavior, operational efficiency and financial technologies
  • Gain technical expertise in cutting edge big data technologies and methods (e.g. Hadoop, Spark, Hive, Impala, and Python)

Basic 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)
  • In general, top-tier talent, as demonstrated by performance history and educational background/accomplishments
  • 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)
  • Superior written and oral communication and presentation skills with experience communicating effectively with diverse audiences – across business and technology partners, including senior leadership
  • Consulting orientation with ability to influence and effectively lead cross-functional teams
  • Experience managing a team and developing talent
  • Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life
  • Strong time-management skills, with the ability to multi-task and keep numerous projects on track
  • Experience with data analytics and/or visualization techniques (e.g. SQL, Python, Tableau), as well as big data technologies (e.g. Hadoop, Cassandra, AWS)
  • Undergraduate degree in a quantitative discipline

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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