Quant Analytics Associate - Digital Products

Chase is undertaking an aggressive, customer-focused agenda and investing in innovative ways to deepen customer engagement by connecting the dots on behaviors and creating seamless experiences. Our ambition is to be the undisputed leader in consumer banking by delivering highly personalized experiences that customers increasingly expect.

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.

Quant Analysts combine analytic skills with specific domain knowledge to make data actionable allowing for ease of consumption. They translate between analytic and non-analytic groups as well as facilitate holistic, cross-functional learning. They collaborate, learn, teach and disseminate knowledge across the Data & Analytics community.

We are seeking an Analyst/Associate who will be a key member of the Digital Analytics team within the broader Data and Analytics organization. You will work closely with Product Owners to deliver insights in terms of descriptive, diagnostic, predictive, and prescriptive analytics. In particular, you will strive to build consensus with Product Owners on if, where, when, how, and whom to drive customer engagement by defining metrics, sourcing data, developing queries, and creating reports

What To Expect

You will be responsible for supporting Digital 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

• Partner across Product, Strategy, Technology and Design organizations to transform strategic priorities into a prioritized analytics roadmap

• 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 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, 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

• 3-5 years of industry experience in business analytics roles (e.g., digital analytics, customer analytics, marketing analytics, sales analytics, business insights)
• Bachelor's degree in relevant quantitative field required (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields); advanced degree preferred
• 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
• Demonstrated ability to define business KPIs and establish measurement frameworks
• Structured thinker with passion for analyzing results and digging deeper
• 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 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
• Basic knowledge in modern data mining, quantitative research, and data science techniques (e.g., machine learning, behavioral analytics)
• Experience across broad range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python, R)
• Experience with Adobe Analytics, Tableau, Alteryx is preferred
• 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
• 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
• Financial services background preferred, but not required

CCB Data & Analytics