Quant Analytics Senior Associate
JPMorgan Chase · OH · Posted 2026-09-02
Job description
You will join a team that turns data into clear, actionable insights that improve customer and business outcomes. You will work closely with product and analytics partners, using modern analytics and reporting to help shape strategy, strengthen controls, and scale decision-making. As a Quant Analytics Senior Associate at JPMorganChase within Consumer Deposit Product Analytics in Consumer & Community Banking, you will partner with deposit product leaders to solve business problems with data-driven insights. You will own product performance reporting and ad hoc analysis across deposit products, blending monitoring and metrics reporting to support end-to-end product management. You will be expected to communicate clearly, operate independently, and deliver practical recommendations that influence outcomes. Job responsibilities Collaborate with stakeholders to define business needs, translate requirements into analytical deliverables, and communicate actionable insightsDesign, build, and maintain SQL queries, dashboards, and reporting solutions from requirements through deployment and ongoing supportProduce product performance reporting, including key performance indicators and key risk indicators, with clear definitions and documentationAnalyze trends, identify growth opportunities and risks, and recommend actions to senior stakeholdersDeliver tailored analyses to answer complex, ambiguous questions and support strategic decision-makingAutomate recurring reporting processes and apply disciplined source control and documentation practicesSupport production reporting environments by troubleshooting issues, responding to stakeholder inquiries, and driving continuous improvementRequired qualifications, capabilities, and skills Master’s degree in a related field with three years of relevant experience, or bachelor’s degree in a related field with five years of relevant experienceAdvanced proficiency in SQL and strong experience using Python for analytics and data workflowsHands-on experience with modern data platforms and cloud services (for example, Snowflake and Amazon Web Services)Experience developing and maintaining dashboards and analytics solutions using Tableau or similar data visualization toolsDemonstrated ability to apply advanced analytics and responsible generative artificial intelligence techniques to improve reporting, forecasting, anomaly detection, or business intelligenceExcellent written, verbal, and presentation communication skills, including the ability to explain insights to technical and non-technical audiencesStrong stakeholder management skills with a demonstrated ability to prioritize work and deliver high-quality results in a deadline-driven environmentPreferred qualifications, capabilities, and skills Knowledge of retail banking products and data-driven business operationsExperience with reporting automation, version control, and documentation best practices (for example, Bitbucket)Proven ability to translate analytical findings into clear, actionable recommendations for leadersStrong attention to detail and commitment to data quality, governance, and control standards