Help teams turn artificial intelligence into practical, measurable improvements. In this role, you will partner across product and business teams to test ideas quickly and scale what works. You will build prototypes that inform production solutions and create enablement that elevates how work gets done. You will also help teams adopt AI responsibly by aligning to appropriate governance and risk expectations. If you enjoy blending hands-on building, experimentation, and influence, this role is for you.
Job summaryAs an Applied AI senior associate in Home Lending, you help teams across product and the business get more from AI. You run experiments to identify what improves outcomes, scale successful patterns through enablement and prototypes, and support leaders with practical recommendations on where to focus next. You also help steward responsible adoption by partnering with governance, product, and technology stakeholders.
Job responsibilities- Partner with stakeholders to identify and shape AI opportunities aligned to business outcomes
- Design and run experiments and pilots with clear success metrics (e.g., quality, cycle time, risk reduction, cost, or customer experience)
- Develop prototypes and proof-of-concepts using machine learning and deep learning techniques
- Apply AI methods to problem areas such as speech recognition, natural language processing, and time series forecasting
- Analyze data and produce insights that translate into actionable recommendations and prioritized follow-up work
- Collaborate with engineering and data partners to harden validated prototypes into production-ready solutions when appropriate
- Contribute to a structured intake and prioritization process for business-driven AI ideas, including tracking and stakeholder updates
- Create and deliver enablement materials and workshops to build skills and adoption across teams
- Document patterns, lessons learned, and reusable approaches to help teams apply AI consistently and effectively
- Support responsible AI delivery by aligning solutions to applicable governance, risk, and control expectations
- Maintain data inputs to, and outputs from, relevant databases or analytical systems to support ongoing solution performance
- 3 years of experience helping teams integrate emerging technology into business workflows, products, or operations
- Demonstrated experience running experiments, pilots, or proofs-of-concept with measurable success criteria
- Demonstrated experience building prototypes using programming languages commonly used for analytics or machine learning
- Working knowledge of machine learning concepts and model types used in supervised learning and time series analysis
- Experience using data analysis techniques to develop insights and communicate recommendations to stakeholders
- Ability to operate in ambiguity by translating strategy into scoped work, plans, and deliverables
- Demonstrated experience creating learning content and facilitating workshops for professional audiences
- Strong communication and stakeholder management skills, including explaining trade-offs, risks, and recommendations
- Experience building or scaling enablement, accelerator, or adoption programs across multiple teams
- Experience partnering with governance, risk, controls, or similar stakeholders to support responsible AI delivery
- Experience supporting model evaluation approaches (e.g., test design, quality metrics, monitoring considerations)
- Experience contributing to multiple initiatives in parallel with clear prioritization and delivery discipline
- Evidence of continued learning through delivered projects, publications, or contributions to relevant professional communities
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
- At least 3 years of experience integrating emerging technology into business workflows, products, or operations.
- Experience running experiments, pilots, or proofs of concept with measurable success criteria.
- Experience building prototypes using programming languages commonly used for analytics or machine learning.
- Working knowledge of machine learning concepts and supervised learning and time-series model types.
- Experience using data analysis techniques to develop insights and communicate recommendations to stakeholders.
- Ability to translate strategy into scoped work, plans, and deliverables in ambiguous situations.
- Experience creating learning content and facilitating workshops for professional audiences.
- Strong communication and stakeholder management skills, including explaining trade-offs, risks, and recommendations.
- Experience building or scaling enablement, accelerator, or adoption programs across multiple teams.
- Experience partnering with governance, risk, controls, or similar stakeholders to support responsible AI delivery.
- Experience supporting model evaluation approaches, including test design, quality metrics, and monitoring considerations.
- Experience contributing to multiple initiatives in parallel with clear prioritization and delivery discipline.
- Evidence of continued learning through delivered projects, publications, or contributions to relevant professional communities.
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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