As a Lead Data Scientist within Corporate Sector in Governance and Controls Technology (GCT), you will design and deliver trusted, market-leading products in a secure, stable, and scalable way. You will work across multiple technical areas and business functions, partnering with your team to deliver solutions that matter to our customers and the firm. You help strengthen our engineering culture through ownership, continuous improvement, and inclusive collaboration.
Job responsibilities
- Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AIML, Agentic/GenAI frameworks in a fast-paced environment.
- Hands on experience in working on LLMs and agentic frameworks, such as Langchain/LangGraph and similar technologies.
- Developing AI/ML and Gen AI/ Agentic AI solutions to address impactful business needs.
- Hands on experience in all machine learning techniques, supervised, unsupervised, and semi-supervised techniques.
- Strong experience in natural language processing (NLP) and its applications.
- Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
- Working with other team members to productionize end-to-end AI/ML solutions.
- Engaging in research and development of innovative relevant solutions.
- Coaching and mentoring other AI/ML team members towards both personal and professional success
- Collaborating with other teams across the firm to attain the mission and vision of the team and the firm. Engaging with stakeholders and understanding business requirements.
- Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without escalation.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Practical cloud native experience
- Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
- Applied experience in data science, machine learning, or related areas.
- Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data.
- Experience LLM Orchestration and Agentic AI libraries
- Proficiency in using GenAI models (OpenAI or similar) to solve business problems.
- Experience in building AI Agents, Agentic frameworks.
- Experience in building and managing data lakes and data processing workflows using Databricks.
- Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
- Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
- Strong troubleshooting and problem-solving skills.
- Fast learner with the ability to quickly develop Proof of Concepts and advance them to production.
- Understanding of AWS component.
- Experience integrating AI/ML models into data pipelines is a plus.
- Experience with version control (Git) and CI/CD pipelines.
- Financial service background
Skills Required
- Strong understanding of responsible AI practices, data sensitivity, secure input and output handling, resiliency, and security expectations
- Practical cloud-native experience
- Advanced degree in Computer Science, Data Science, Mathematics, or a related field
- Applied experience in data science, machine learning, or related areas
- Strong Python programming skills, including PySpark, Spark SQL, and data manipulation
- Experience with LLM orchestration and agentic AI libraries
- Proficiency using generative AI models such as OpenAI to solve business problems
- Experience building AI agents and using agentic frameworks
- Experience building and managing data lakes and data processing workflows using Databricks
- Ability to use AI agents and tools such as Copilot to improve productivity and code quality
- Excellent problem-solving skills and ability to communicate ideas and results clearly to stakeholders
- Strong troubleshooting and problem-solving skills
- Ability to rapidly develop proofs of concept and advance them to production
- Understanding of AWS components
- Experience integrating AI/ML models into data pipelines
- Experience with Git and CI/CD pipelines
- Financial services background
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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