We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Data Scientist Senior Associate within our Business Banking Data and Analytics Team, you will be instrumental in constructing predictive models and developing robust RAG pipelines. Collaborating closely with cross-functional teams, you will extract valuable insights from complex datasets to promote data-driven decision-making across the organization. Your focus will include addressing problem statements and innovating solutions for complex challenges. Additionally, you will build AI-based solutions to enhance both technological and business efficiency.
Job responsibilities
Align ML problem definition with business objectives to ensure solutions address real-world needs.
Design, develop, and manage prompt-based models on Large Language Models (LLMs) for complex financial services tasks.
Architect and oversee the development of next-generation machine learning models and systems using cutting-edge technologies.
Drive innovation in machine learning solutions, focusing on scalability, flexibility, and future-proofing.
Promote software and model quality, integrity, and security throughout the organization.
Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications for enterprise deployment.
Integrate GenAI solutions with enterprise platforms using API-based methods.
Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails.
Collaborate with technology teams to lead the design and delivery of GenAI products.
Required Qualifications, Capabilities, and Skills
Formal training or certification in software engineering concepts and 8+ years of applied AI/ML experience.
Strong understanding of the Software Development Life Cycle (SDLC), Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
Experience with cloud platforms such as AWS, GCP, or Azure.
Proficiency in RDBMS, NoSQL databases, and prompt design.
Demonstrated expertise in machine learning frameworks such as TensorFlow, PyTorch, pyG, Keras, MXNet, and Scikit-Learn.
Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API), and RAG-based solutions (e.g., open search), Knowledge Graphs(e.g., neo4J).
Proven track record of building and scaling software and/or machine learning platforms in high-growth or enterprise environments.
Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.
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
- Formal training or certification in software engineering concepts and 8+ years of applied AI/ML experience
- Strong understanding of the Software Development Life Cycle (SDLC)
- Strong understanding of Data Structures and Algorithms
- Knowledge of Machine Learning, Data Mining, Information Retrieval, and Statistics
- Experience with cloud platforms such as AWS, GCP, or Azure
- Proficiency in RDBMS and NoSQL databases and prompt design
- Demonstrated expertise with ML frameworks: TensorFlow, PyTorch, pyG, Keras, MXNet, Scikit-Learn
- Proficient in building AI Agents and agentic workflows (e.g., LangChain, LangGraph, AutoGen) and integrating tools via APIs
- Experience building RAG-based solutions (e.g., open search) and Knowledge Graphs (e.g., neo4J)
- Proven track record of building and scaling software and/or ML platforms in high-growth or enterprise environments
- Exceptional ability to communicate complex technical concepts to technical and non-technical audiences
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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