Corporate & Investment Bank, Wholesale Payments Data and Analytics is responsible for executing big data analytics projects in response to product innovation for Merchant Services. Tangible output of the programs are insights that drive optimization of location and targeted marketing strategy for small business merchants, as well as deep consumer and business insights. You’ll engage in projects that integrate data science, research, and business domain expertise, focusing on analytics, business intelligence, data engineering, and visualization.
As AI Data Scientist Senior Associate within Payments Data and Analytics, you will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers, including chat assistants and workflow automations powered by LLMs and multi-agent patterns. You will develop data pipelines and dashboards, prototype and iterate on new generative AI capabilities and features, and ensure the quality, integrity, and reliability of our intelligent solutions through testing, evaluation, and monitoring. Your contributions will help streamline operations, enhance decision-making, and foster growth through innovative AI applications.
Job Responsibilities
• Conceptualize solutions that automate and optimize business processes.
• Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs.
• Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
• Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-driven insights and decision-making.
• Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
• Partner with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms
• Support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills
• Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field.
• Proficiency in Python and SQL for data processing and analysis.
• 3+ years relevant work experience.
• Expertise in quantitative research techniques and analytics using Python.
• Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
• Knowledge of machine learning/data science theory, techniques, and tools.
• Experience in leveraging Large Language Models (LLMs) and agent AI techniques.
• Ability to collaborate effectively and cultivate strong partnerships.
Preferred Qualifications, Capabilities, and Skills
• Experience in data analysis, data science, or a related field.
• Familiarity with AWS, Snowflake for data management and analysis.
• Attention to detail with a proven ability to learn new concepts and skills quickly.
• Understanding of quality assurance practices and the importance of data integrity.
• Ability to clearly develop and document analytic requirements with stakeholders.
• Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
About Us
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
- Master's degree in STEM or a related field
- Proficiency in Python and SQL for data processing and analysis
- 3 or more years of relevant work experience
- Expertise in quantitative research techniques and analytics using Python
- Critical thinking and creative problem-solving skills, with the ability to translate strategy into deliverables
- Knowledge of machine learning and data science theory, techniques, and tools
- Experience leveraging large language models and agent AI techniques
- Ability to collaborate effectively and cultivate strong partnerships
- Experience in data analysis, data science, or a related field
- Familiarity with AWS and Snowflake for data management and analysis
- Attention to detail and ability to learn new concepts and skills quickly
- Understanding of quality assurance practices and data integrity
- Ability to develop and document analytic requirements with stakeholders
- Familiarity with evaluation and monitoring concepts for generative AI solutions
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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