Quant Analytics Sr Associate - Ops Strategy Analytics

Job Description

Quant Analyst Sr. Associate - Collections Product Analytics 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 Americas 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.Data & Analytics:Chase is on a mission to deliver a customer-obsessed experience by improving clock speed and providing first class customer interactions. All across the organization we are committed to transforming the way we work and how we deliver value against our business objectives. We favor rapid, iterative design to once and done project work and prefer new design to improving on the status quo, all in a way that allows us to plug and play instead of depending on outdated technology builds. To achieve that mission we have launched business based customer journey teams that enable us to continuously design, deliver and validate new functionality and foster an environment where we can quickly improve the customer experience. The Collections Product Analytics team is looking for a talented, highly motivated individual with strong data analysis skills in support of the Customer Collections Journey. The Collections Product Analytics team is part of the Customer & Channel Analytics Team and is responsible for data and analysis in support of the collections journey re-design. As a Sr. Analyst you will work as a member of a cross-functional team to improve the collections experience for our customers. You will be responsible for working collaboratively across partners in the Collections Product team: Finance, Customer Experience, UX/UI Design, Software Engineering, & Product Owners. You will have the opportunity to work on the end-to-end analytics of the Collections Journey: building and updating the business case, analysis scoping, hypothesis development, data gathering, performance analysis, generating insights and participating in developing presentations of findings. Responsibilities:

• Work as a member of agile, digital, tribes or scrum teams to provide data and analytics support for new product development
• Build holistic insights using a mix of customer, account, digital, financial and operational data sets
• Import, clean, transform and validate data from multiple sources in preparation for analytics and/or modeling
• Develop business cases, size addressable populations & estimate potential impact on proposed measurement plans
• Scope, implement & track new features and enhancements to the collections journey
• Identify customer interactions and events across a variety of channels to better understand customer journeys and friction points
• Leverage a variety of analytical and statistical applications (ClickFox, Alteryx, Trifacta, Excel, SQL, Python, etc.) to describe, analyze, and interpret trends and patterns in complex data sets.
• Aid in presentations summarizing sharp insights and conclusions, often for executives

Qualifications and Required Skills:

• 4+ years of relevant experience doing hands-on data analysis
• Technical expertise regarding data models, data analysis, and segmentation techniques
• Experience with Business Intelligence and analytical tools such as Alteryx, Tableau, ClickFox, etc
• Self-sufficiency in querying and extracting data from Enterprise databases (Teradata, Hadoop, Greenplum, Oracle etc)
• Experience with financial business cases a plus
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Operational knowledge of Collections & Recovery a plus
• Strong written and oral communication skills
• Bachelor s degree required, advanced degree is desired with preferred concentrations in Math, Statistics, Economics or similar quantitative disciplines

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Keyskills :
new product developmentdata modelsdata analysisbusiness casesmall businessbusiness loanspersonal bankingiterative designanalytical skillscustomer journeys