Job responsibilities
- Execute standard software solution design, development, and technical troubleshooting with consideration of upstream and downstream systems and their technical implications, ensuring secure and high-quality code using at least one modern programming language
- Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity — including code generation, refactoring, unit test creation, and documentation — while validating outputs through peer review, automated testing, and secure coding standards
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation
- Build and optimize data pipelines and support functions that ensure accurate, timely delivery of market and trade data to downstream consumers, including day-to-day end-of-day Risk and Profit & Loss support
- Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems across the full Software Development Life Cycle
- Collaborate with front-office technology teams and business stakeholders to translate requirements into scalable, maintainable software solutions
- Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives to support iterative delivery and continuous improvement
- Apply technical troubleshooting to break down solutions and resolve technical problems of varying complexity across multi-layered systems
- Day to Day Support for EOD Risk and PNL support.
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, with a preference for Python and Oracle/SQL
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment — such as for coding, testing, troubleshooting, or documentation — with demonstrated ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations
- Experience across the full Software Development Life Cycle
- Exposure to Agile methodologies and practices such as continuous integration and delivery, application resiliency, and security
- Experience working with or supporting trading platforms, financial data systems, or commodities/energy technology environments, including end-of-day Risk and Profit & Loss workflows
- Familiarity with cloud platforms and cloud-native development concepts (e.g., AWS, Azure, or GCP) and distributed systems principles
- Hands-on experience with AI or machine learning frameworks (e.g., scikit-learn, TensorFlow, or PyTorch) applied to data engineering or analytical use cases
- Experience integrating large language model-based tools or AI-powered workflows into software development or data support pipelines
- Knowledge of data governance, data quality practices, or data lineage concepts in a financial services context
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering and 2+ years applied experience
- Hands-on experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code using modern programming languages and database querying languages (preferred: Python, Oracle/SQL)
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI outputs
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
- Experience across the full Software Development Life Cycle
- Exposure to Agile methodologies, continuous integration/delivery, application resiliency, and security
- Experience with trading platforms, financial data systems, commodities/energy technology, or EOD Risk and P&L workflows
- Familiarity with cloud platforms and cloud-native development concepts (AWS, Azure, or GCP)
- Hands-on experience with AI/ML frameworks (scikit-learn, TensorFlow, PyTorch) applied to data engineering or analytical use cases
- Experience integrating LLM-based tools or AI-powered workflows into software development or data support pipelines
- Knowledge of data governance, data quality practices, or data lineage concepts in a financial services context
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.
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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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