Make operational performance visible, measurable, and actionable at scale. In this role, you will keep critical reporting stable, accurate, and audit-ready while continuously improving how insights are produced and delivered. You will partner with global stakeholders to turn complex data into trusted metrics and dashboards that leaders rely on. If you enjoy solving production issues, improving controls, and automating repeatable work, you will have significant impact here. As a Senior Associate in Payments Operations Strategy, Innovation & Governance — Data Insights & Analytic Solutions, you own the production delivery, stability, and continuous improvement of operational reporting and analytics used to manage Payments Operations performance and risk. You keep dashboards, scorecards, and metrics accurate and controlled through strong data quality checks, monitoring, documentation, and access controls. You deliver scheduled reporting and time-sensitive ad hoc analysis aligned to service level agreements, while handling business-as-usual support and break-fix incidents with disciplined triage and communication. You work with partners across Operations, Technology, and Data to resolve data issues, reduce manual effort, and improve resilience through automation. Job responsibilities - Own end-to-end production delivery for operational reporting (scheduled runs, publishing, distribution, and communications). - Provide business-as-usual support and break-fix coverage, including incident triage, root-cause coordination, and timely escalation. - Build and maintain dashboards, scorecards, and performance reporting that leaders use to run the business. - Develop and optimize queries and data transformations to produce consistent, reconciled metrics across multiple data sources. - Validate data quality through controls, reconciliations, and automated checks to ensure accuracy and audit readiness. - Monitor reporting pipelines and key metrics to detect failures, anomalies, and emerging risks early. - Document metric definitions, assumptions, data lineage, and run procedures to support governance and repeatability. - Manage intake and prioritization of ad hoc requests, balancing responsiveness with production stability. - Deliver ad hoc analyses within agreed timelines, clearly communicating assumptions, impacts, and status. - Partner with global stakeholders to align on reporting requirements, definitions, and success measures. - Automate repeatable reporting and support activities to reduce manual effort and improve timeliness and resilience. Required qualifications, capabilities, and skills - Bachelor’s degree in a quantitative, analytical, or related field (or equivalent practical experience). - Five years of experience delivering operational reporting and analytics in a production environment. - Five years of experience writing structured query language (SQL) for relational databases, including Oracle. - Five years of experience building dashboards and reports using business intelligence and analytics tools (for example, Tableau and Alteryx). - Experience operating in a regulated, control-oriented environment with strong attention to accuracy, auditability, and access controls. - Demonstrated ability to define metrics (including reconciliations and definitions) and translate business questions into reporting requirements. - Experience managing incident-driven work (triage, break-fix, prioritization, escalation) while meeting delivery commitments. - Strong written and verbal communication skills across technical and non-technical audiences. - Strong time management skills, including managing multiple concurrent deliverables with global stakeholders. Preferred qualifications, capabilities, and skills - Experience supporting Payments Operations (or adjacent operations functions) with high-volume reporting and production support expectations. - Experience with modern data platforms and analytics engineering workflows (for example, Databricks and Snowflake). - Experience using Python for analytics automation or operational utilities. - Familiarity with workflow governance artifacts (standard operating procedures, runbooks, inventories, and control checklists). - Experience driving process improvement initiatives that measurably reduce manual effort and defects. - Familiarity with Jira for tracking intake, incidents, and delivery. - Familiarity with responsible use of generative artificial intelligence concepts in controlled environments (for example, prompt design and evaluation). About Us JPMorganChase, 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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the TeamJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

• Act as the key liaison between client stakeholders and delivery teams on data programmes/projects • Write detailed user stories and acceptance criteria by breaking down Epics for integration and reporting use cases. • Lead feature/data product kickoffs to ensure business context and delivery alignment. • Facilitate estimation sessions and story readiness to support sprint planning. • Collaborate closely with developers and testers to validate “done” stories and ensure Client sign-off. • Partner with technical leads, client SMEs to ensure requirements are accurate, complete, and technically feasible. • Support the Client in managing and prioritizing the product backlog to ensure alignment with business goals. • Conduct backlog refinement sessions with the team to clarify requirements, dependencies, and priorities. • Ensure stories meet the team’s definition of ready before sprint planning. • Track and communicate backlog health and sprint progress through Agile tools (e.g., Jira).

• Finalizing nELISA data reports • Creating visualizations for data • Ensuring the seamless delivery of projects to Nomic customers • Regular customer interactions and meetings • Supporting customers during onboarding and addressing ongoing questions • Gaining insights into customers’ research questions and relaying to product team

Job Description Join our Distribution Analytics Strategy Team as a Quant Analytics Vice President and play a pivotal role in optimizing our Branch Network. This position offers significant opportunities for career growth, skill development, and the ability to drive impactful business decisions through advanced analytics. You’ll collaborate with talented colleagues to develop innovative solutions that enhance customer engagement and support strategic investments in our branches. As the Quant Analytics Vice President, you will lead the delivery of analytics and insights to inform strategies for network optimization, new branch development, the future role of branches, and ATM strategy. You will work closely with cross-functional teams—including finance, real estate, and product—to leverage both internal and external data sources. You will communicate findings to stakeholders, translating insights into measurable actions that drive business performance. You will partner across the Consumer and Community Bank to understand business needs, develop solutions, and champion analytics best practices. Your leadership will support strategic analysis, facilitate holistic cross-functional learning, and ensure high data quality and reduced redundancy. Job Responsibilities - Build and foster partnerships across the organization to support Branch Network Optimization strategies. - Lead the design and execution of solutions that integrate data from multiple sources for strategic analytics and reporting. - Analyze branch engagement, customer behaviors, cross-LOB analytics, and performance to identify actionable insights. - Present insights to senior leaders through compelling written and oral presentations, influencing marketing strategy and investment decisions. - Collaborate with analytic and non-analytic teams to facilitate holistic, cross-functional learning. - Champion data and analytics best practices across the organization. Required Qualifications, Capabilities, and Skills - Master’s degree in a relevant quantitative field (e.g., Statistics, Economics, Analytics, Mathematics, or related). - 6+ years of industry experience in analytical roles (e.g., finance analytics, marketing analytics, customer insights). - 6+ years of hands-on experience with a broad range of analytics platforms, languages, and tools (e.g., Snowflake, Alteryx, SAS, Tableau, Python, Excel Pivot); experience with big data platforms required. - Excellent communication skills with the ability to convey complex information clearly and persuasively to business partners through - Strong storytelling skills, especially through PowerPoint presentations. - Expert knowledge of quantitative methods for marketing analytics, including customer segmentation, targeting, and digital analytics. Preferred Qualifications, Capabilities, and Skills - Experience leveraging Large Language Models (LLMs) and related AI technologies to drive business insights and process efficiencies. - Proven ability to design and implement solutions that integrate LLMs with enterprise data systems, enabling efficient, data-driven decision-making. - Strong programming skills in Python and familiarity with modern ML/NLP frameworks, with a focus on building scalable and secure analytics processes. About UsChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.