Join us to transform Market Operations with advanced AI and machine learning. You’ll have the opportunity to solve complex business challenges, automate workflows, and deliver impactful solutions that drive operational excellence. At JPMorganChase, we value your expertise and encourage you to grow your career in a collaborative, forward-thinking environment. You’ll work alongside talented professionals who are passionate about leveraging technology to make a difference. Discover how you can shape the future of financial services with us.
As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that directly support and enhance Markets Operations. You will collaborate with business stakeholders and technology partners to understand operational needs, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. You’ll help foster a culture of innovation and continuous improvement, making a tangible impact on our business. Your work will contribute to optimizing processes and driving efficiency across the team.
Job Responsibilities:
- Develop and implement advanced machine learning models and algorithms to address operational challenges
- Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization
- Architect and oversee generative AI applications to automate and enhance business processes
- Build and maintain production-grade AI/ML applications and tools for Market Operations
- Monitor, evaluate, and improve the performance of deployed models and solutions
- Analyze large and complex datasets to identify trends, inefficiencies, and opportunities for automation
- Collaborate with subject matter experts to gather requirements, validate solutions, and measure impact
- Document methodologies, results, and best practices to support knowledge sharing and scalability
- Stay current with AI/ML advancements and apply relevant techniques to business problems
Required Qualifications, Capabilities, and Skills:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience)
- Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development
- Experience working with large, complex datasets and applying statistical analysis
- Hands-on experience training, deploying, and maintaining machine learning models in production environments
- Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch)
- Experience with MLOps practices and tools for managing the machine learning lifecycle
- Experience building and deploying Generative AI applications, including familiarity with LLMOps
- Exposure to cloud platforms (such as AWS, GCP, Azure)
- Demonstrated problem-solving skills and ability to work independently or in small teams
- Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences
Preferred Qualifications, Capabilities, and Skills:
- PhD in Data Science, Computer Science, Artificial Intelligence, or a related field
- Experience in financial services, banking, or Markets Operations environments
Skills Required
- Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field, or equivalent experience
- Strong foundation in AI and machine learning concepts
- Practical experience with data analysis, feature engineering, and model development
- Experience working with large, complex datasets and applying statistical analysis
- Hands-on experience training, deploying, and maintaining machine learning models in production
- Proficiency in Python and AI/ML libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with MLOps practices and tools for managing the machine learning lifecycle
- Experience building and deploying Generative AI applications, including familiarity with LLMOps
- Exposure to cloud platforms such as AWS, GCP, or Azure
- Demonstrated problem-solving skills and ability to work independently or in small teams
- Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences
- PhD in Data Science, Computer Science, Artificial Intelligence, or a related field
- Experience in financial services, banking, or Markets Operations environments
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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