Job Description

Join the analytics team delivering innovative ideas to increase our knowledge of our customers and provide a fantastic experience.

Joining our organization 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.

Chase is undertaking a substantial 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.

As a Quant Analytics VP you will develop, plan, and execute on advanced analytical projects as a player coach on your team. You’ll translate between analytic and non-analytic groups as well as facilitate holistic, cross-functional learning. You’ll need to collaborate, learn, teach, and disseminate knowledge across the Data & Analytics community.

We are seeking a VP ready to be a key member of the Digital Analytics team within the broader Data and Analytics organization. You will manage a team of data analysts and work closely with Product Owners, Designers, Engineers and Data Owners to deliver analytics that can drive customer and business impact.

Job responsibilities

Apply strategic, analytical and data science skills to broad range of challenges faced by the enterprise.Develop, plan, and execute analytical solutions by bringing order to disparate requirements with high tolerance for ambiguity, very strong problem-solving ability, and excellent client engagement skills.Manage data science and analytics strategies including recommendations on analytical products, services, protocols, and standards across the firm.Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones; scale experimentation, integrate real-time data, and deliver on personalization goals.Shorten the analytics development lifecycle and increase the velocity at which analysts can disseminate insights.Partner across Product, Strategy, Technology and Design organizations to transform strategic priorities into a prioritized analytics roadmap, pivot quickly as client guidance evolves.Be a storyteller capable of delivering practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations.

Required qualifications, capabilities, and skills.

7+ years of industry experience in business analytics roles (e.g., digital analytics, customer analytics, marketing analytics, sales analytics, business insights), analytics consulting experience is a plus.Bachelor’s degree in relevant quantitative field required (e.g., Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields); advanced degree preferred.Experience across broad range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python, RKnowledge of modern data mining, quantitative research, and data science techniques (e.g., AI, machine learning, behavioral analytics)Demonstrated expertise in strategic analysis to aid strategy development, including the ability to communicate the impact of strategic changes, shape product strategy and convey complex information in an understandable, compelling, and persuasive manner to senior executives, business, and technology partners.Proven experience as leading teams as a player coach with a strong track record of developing talent and driving team performance.Thought leader who can define analytical agenda for projects, demonstrate the 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.

Preferred qualifications, capabilities, and skills

Strong understanding of Line of Business P&L (Credit Card, Retail Bank, etc.) and knowledge of revenue and margin drivers across Lines of Business preferred.Experience in Cloud environments (AWS, Snowflake) Adobe Analytics, Tableau, Alteryx required, experience with Machine Learning, AI preferred.Demonstrated ability to define business KPIs and establish measurement frameworks.Financial services background