Applied AI & ML Lead – Markets Operations

Posted 7 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead design and delivery of production-grade AI/ML solutions for Market Operations. Manage and mentor a team of data scientists, partner with AI engineering and stakeholders, ensure robust MLOps, model governance, deployment, monitoring, and documentation while driving measurable operational impact.
Summary Generated by Built In

Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you’ll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference.

 


As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning.

 

Job Responsibilities:

  • Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives.
  • Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs.
  • Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment.
  • Ensure production-grade AI/ML applications and tools are built, maintained, and optimized.
  • Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment.
  • Champion documentation of methodologies, results, and best practices for knowledge sharing.
  • Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites.
  • Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.
  • Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.

 

Required Qualifications, Capabilities, and Skills:

  • MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.
  • Proven experience building and deploying AI applications in large-scale production environments.
  • Experience with MLOps practices and tools for managing the machine learning lifecycle.
  • Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
  • Strong understanding of data preprocessing, feature engineering, and evaluation techniques.
  • Experience working with large, complex datasets and applying statistical analysis.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
  • Experience managing data science teams and coaching team members.
  • Problem-solving skills and ability to work independently and as a leader within cross-functional teams.
  • Strong communication skills for both technical and non-technical audiences.

 

Preferred Qualifications, Capabilities, and Skills:

  • Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.
  • Hands-on experience with agentic frameworks (LangChain, LangGraph).
  • Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.
  • Demonstrated experience in financial services, particularly investment banking operations.

 

Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world’s leading financial institutions.

 

#CIBAppliedAI

About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
  
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.
About the TeamJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

Skills Required

  • MSc or PhD in Computer Science, Data Science, Machine Learning, or related field
  • Proven experience building and deploying AI applications in large-scale production environments
  • Experience with MLOps practices and tools for managing the machine learning lifecycle
  • Proficiency in Python
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn
  • Strong understanding of data preprocessing, feature engineering, and evaluation techniques
  • Experience working with large, complex datasets and applying statistical analysis
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
  • Experience managing data science teams and coaching team members
  • Strong communication skills for technical and non-technical audiences
  • Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites
  • Hands-on experience with agentic frameworks (LangChain, LangGraph)
  • Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration
  • Demonstrated experience in financial services, particularly investment banking operations

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

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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