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: 

Perform big-data analysis and improve LLM model results for conversational insights in both AWS and on-premises environments. Transform data, reporting, and business driver analysis to improve existing operational processes and applications. Identify customer interactions and events across various channels that cause customer and specialist frictions. Partner with cross-functional teams to consolidate business assumptions with productionized data to validate hypotheses and identify production flaws. Create and present concise insights to peers, the executive leadership team, and business partners. Proactively investigate issues and problems in data collection, model building, and production phases. Document SQL/Python codebase, data dictionary, and model outputs in a clear and concise way. Work as a member of agile, digital, tribes, or scrum teams to provide data and analytics support for new product development.

Required qualifications, capabilities and skills:

Solid programming skills in SQL. Experience in big data ETL for structured/unstructured database Experience in Machine Learning, NLP, and LLM. Strong writing and presenting skills. Detail oriented problem-solver with a knack for meeting tight deadlines.  Hands-on team player with full of curiosity to operate in a self-directed manner. Work experience with Excel PivotTable, presentation PPT and data wrangling & visualization tools including Tableau, Alteryx, SQL, and Jupyter Notebook. Trained in multivariate statistics, regressions, SQL, Spark, data analytics & visualization. Work experience in AWS, Spark/EMR, ChatGPT, Confluence and Snowflake.

Preferred qualifications, capabilities and skills:

Extensive experience in consumer banking units such as operations, servicing, collections, or marketing. Solid understanding in multi-linear regression, logistic regression, clustering, classification techniques, controlled experiments, and causal inference methods (DD/PM/NN). Communication - Ideal candidate would be able to develop and deliver concise presentations that clearly articulate challenges, actions, and results for complex matters - creating clarity and a bias for action with key stakeholders. Candidate should be able to crisply synthesize data into actionable insights for executive leadership. Good understanding of IT processes and databases. Being able to work directly with data owners/custodians and contributing to building analytics data hub. Flexibility/adaptability, ability to listen and defending or changing direction based upon team and stakeholder consensus. Bachelor’s degree in Economics, Data Analytics, Statistics, or a STEM related field AND 3 years of work experience in Analytics, preferably with financial services firms and/or in operations/contact center functions