Chase: Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.5 trillion and operations worldwide. Chase serves nearly half of America's households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to Chase.com. 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 The financial services industry is rapidly changing and JPMorgan Chase is transforming our Digital experiences to accelerate growth. Customer Experience Decision Sciences is a newly formed team supporting Customer Experience function that is central to understanding how our customers interact with our channels and build insights into opportunities to improve the Customer Experience. What to expect: You will be responsible for supporting Customer Experience Decision Sciences team to :Develop, plan, and execute analytical projects as an individual contributor and in team : , Bring order to disparate requirements with high tolerance for ambiguity, very strong problem,solving ability, and excellent client engagement skills, Analyzing customer journey data across multiple channels to identify friction in the experience and influencing Product owners to take action, 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 capabilitiesSynthesize analytical findings for consumption by senior business executives:, Develop preliminary hypotheses rapidly, focusing on the most important insights to meet the business need, Developing a framework and measurement capabilities for Customer Experience and highlight insights to Senior Managemen, 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 visualizationsBecome trusted advisor and thought leader on business data and analytical techniques :, Partner across Customer Experience, Strategy, Product, 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: , 2+ years of industry experience in data science or business analytics roles (e.g., 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 , 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 , Intermediate knowledge in 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 , 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 JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.