Become an integral part of our Quant Analytics team! Each day will be unique – bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.

Job Summary:

As a Quant Analytics at JPMorgan Chase within the Consumer & Community Banking- Data and Analytics, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Search for collections of behaviors and events that, while individually innocuous, collectively indicate a likely next action to enable timely and relevant outreach. Support and lead partnerships with key Operations stakeholders and Operations Product groups by thoroughly understanding business drivers, underlying data, and processes. Build business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to inform future customer strategies. Analyze customer interactions and events across various channels (calls, branch, online, mobile) to better understand customer journeys and identify friction points. Lead the development and reporting of Operations performance metrics and KPIs, using analytical tools and quantitative methods such as trend analysis, segmentation, forecasting, optimization, and other techniques to enhance business function performance. Create self-serve tools to provide real-time information to decision-makers.

Required qualifications, capabilities and skills:

Bachelor’s / Master's Degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field with 4+ years of data science experience  Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts Experience delivering analytics solutions under strict timelines quick turn-around time Hands-on experience with standard data analytics tools and technologies ( at least four of SQL, Python, SAS, Tableau, Alteryx) Proven track record in solving business problems through fact-based and scientific analytics, like to focus on solving problems Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives Recognize the stories in the data and tell them in ways that illuminate which customers are likely to do what next Are comfortable summarizing key information and presenting recommendations to multiple stakeholders to influence senior management

Preferred qualifications, capabilities and skills:

Previously worked in an insights function at a financial services firm or consulting firm supporting Financial firms. Have a strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies Are a lifelong learner and hold a growth mindset; we welcome individuals who geek out on industry podcasts, stay abreast of cutting edge techniques, and love to share what they are learning with the rest of the team Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency