Job Description
You are a strategic thinker passionate about driving solutions in Transformation. You have found the right team. Join Payments Finance Transformation to accelerate reporting automation and process modernization. You will build production-grade data pipelines, automated financial planning and analysis workflows, and standardized dashboards that reduce manual effort, improve data quality, and enable faster decision-making. This role partners closely with planning and analysis leads, Business Managers, Controllers, and Product teams to translate finance requirements into repeatable solutions with strong controls and governance.
As an [associate within Payments Finance Transformation , you will accelerate reporting automation and process modernization by building production-grade data pipelines and automated workflows. You will deliver standardized dashboards and governed self-service views that reduce manual effort, improve data quality, and enable faster decision-making. You will partner closely with planning and analysis leads, Business Managers, Controllers, and Product teams to translate finance requirements into repeatable solutions with strong controls and governance. You will implement data quality checks, reconciliation controls, and documentation to support auditability and consistent outcomes. You will communicate progress, outcomes, and control considerations clearly to senior stakeholders.
Job responsibilities
- Build and deploy end-to-end automation for financial planning and analysis processes, including data preparation, validation, reconciliations, key performance indicator production, and scheduled runs, using Python, SQL, and Databricks
- Deliver Sigma dashboards to consolidate and rationalize recurring reports into a smaller set of standardized, governed self-service views
- Set automation standards, mentor other developers, and partner with senior finance and product leaders to deliver measurable business outcomes
- Develop and maintain finance-ready data models, including actuals, projections and forecast, and headcount and expense drivers, with clear metric definitions and drill paths
- Partner with stakeholders to define requirements, success metrics, and adoption plans, and convert ambiguous questions into deliverable backlogs and prototypes
- Implement data quality and controls, including reconciliation checks, completeness rules, threshold alerts, and documentation to support auditability and consistent outcomes
- Support migration and modernization efforts by reducing reliance on manual workflows and fragmented tooling, including streamlining or re-platforming legacy workflows where applicable
- Perform user acceptance testing planning and support, production validation, release notes, and stakeholder training and documentation to drive sustained adoption
- Communicate progress and outcomes clearly to senior stakeholders, including what changed, impact, risks and controls, and next steps
- Apply analytics techniques for anomaly detection, variance driver analysis, and forecast input validation, leveraging approved tooling and governed datasets
Required qualifications, capabilities, and skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative discipline
- 10+ years of experience in automation, business intelligence development, and data analytics
- Advanced Python and SQL skills, including data transformation, automation, performance tuning, and robust error handling
- Hands-on experience delivering solutions with Databricks
- Experience building business intelligence dashboards with strong user experience and governance (Sigma preferred; Tableau or Qlik acceptable)
- Experience with HTML and React dashboards
- Ability to use AI tools for automation
- Ability to translate financial planning and analysis and business problems into repeatable automated workflows with measurable efficiency gains
- Strong stakeholder management and communication skills, including ability to explain logic, assumptions, and controls
Preferred qualifications, capabilities, and skills
- Experience rationalizing report inventories, including consolidation, standard definitions, and adoption tracking
- Familiarity with data governance concepts, including access controls, sensitivity handling, metric definitions, and lineage and runbooks
- Experience migrating legacy automation tooling into Python and Databricks, where relevant
- Certifications in relevant tools (optional; not required)
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 Team
J.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.