Job Summary:
As a Payments Finance Transformation Automation Developer you accelerate reporting automation and process modernization. You will build production-grade data pipelines, automated FP&A workflows, and standardized dashboards that reduce manual effort, improve data quality, and enable faster decision-making. This role partners closely with P&A leads, Business Managers, Controllers, and Product teams to translate finance requirements into repeatable solutions with strong controls and governance.
Job Responsibilities:
- Build and deploy end-to-end automation for FP&A processes (data preparation, validation, reconciliations, KPI production, 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.
- Develop and maintain finance-ready data models (actuals, projections/forecast, headcount/expense drivers), including clear metric definitions and drill paths.
- Partner with stakeholders to define requirements, success metrics, and adoption plans; convert ambiguous questions into deliverable backlogs and prototypes.
- Implement data quality and controls: reconciliation checks, completeness rules, threshold alerts, and documentation to support auditability and consistent outcomes.
- Support migration/modernization efforts by reducing reliance on manual workflows and fragmented tooling (e.g., streamline or re-platform legacy workflows where applicable).
- Perform UAT planning/support, production validation, release notes, and stakeholder training/documentation to drive sustained adoption.
- Communicate progress and outcomes clearly to senior stakeholders (what changed, impact, risks/controls, 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.
4+ years of experience in BI development, data analytics, automation.
Advanced Python + SQL (data transformation, automation, performance tuning, robust error handling).
Hands-on experience delivering solutions with Databricks
Experience building BI dashboards with strong user experience and governance (Sigma, Tableau/Qlik).
Proven ability to translate FP&A/business problems into repeatable automated workflows with measurable efficiency gains.
Strong stakeholder management and communication skills; able to explain logic, assumptions, and controls.
Preferred Qualifications, Capabilities, and Skills:
Experience rationalizing report inventories (consolidation, standard definitions, adoption tracking).
Familiarity with data governance concepts (access controls, sensitivity handling, metric definitions, lineage/runbooks).
Experience migrating legacy automation tooling into Python/Databricks (if relevant).
Certifications in relevant tools (optional; not required).
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative discipline.
- 4+ years of experience in BI development, data analytics, or automation.
- Advanced Python for data transformation, automation, performance tuning, and error handling.
- Advanced SQL for data transformation and performance tuning.
- Hands-on experience delivering solutions with Databricks.
- Experience building governed BI dashboards (Sigma, Tableau, Qlik).
- Proven ability to translate FP&A/business problems into repeatable automated workflows.
- Strong stakeholder management and communication skills.
- Experience rationalizing report inventories (consolidation, adoption tracking).
- Familiarity with data governance concepts (access controls, lineage, metric definitions, runbooks).
- Experience migrating legacy automation tooling into Python/Databricks.
- Certifications in relevant tools (optional).
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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