The Applied AI & ML – Market Operations team is dedicated to transforming and optimising operational processes within Corporate & Investment Banking (CIB) Markets Operations. We leverage advanced artificial intelligence and machine learning techniques to solve complex business challenges, automate workflows, and deliver impactful solutions that drive efficiency and accuracy across CIB.
As an Applied AI & ML Associate in the Market Operations team, you will play a key role in designing, developing, and deploying AI/ML solutions that directly support and enhance Markets Operations within CIB. You will work closely with business stakeholders and technology partners to understand operational pain points, translate requirements into technical solutions, and ensure successful implementation and adoption of AI-driven tools.
Job Responsibilities
- Contribute towards the development and implementation of advanced machine learning models and algorithms to address complex operational challenges.
- Develop and deploy AI/ML models and solutions to address specific operational challenges in Markets Operations (e.g. process automation, anomaly detection, document intelligence, workflow optimisation)
- Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes.
- Build and maintain production-grade AI/ML applications and tools tailored to Market Operations needs
- Monitor, evaluate, and continuously improve the performance of deployed models and solutions
- Analyse large and complex datasets to identify trends, inefficiencies, and opportunities for automation or improvement
- Collaborate with Market Operations subject matter experts to gather requirements, validate solutions, and measure impact
- Document methodologies, results, and best practices to support knowledge sharing and solution scalability
- Stay up to date with the latest AI/ML advancements and apply relevant techniques to business problems
Required Qualifications, Capabilities, and Skills
- BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely 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 (e.g. scikit-learn, TensorFlow, PyTorch)
- Experience with MLOps practices and tools for managing the end-to-end machine learning lifecycle
- Experience building and deploying Generative AI applications, including familiarity with LLMOps (Large Language Model Operations)
- Exposure to cloud platforms (e.g. 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
About Us
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
- BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or related field (or equivalent experience)
- Strong foundation in AI/ML concepts, 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
- Experience with AI/ML libraries (scikit-learn, TensorFlow, PyTorch)
- Experience with MLOps practices and tools for managing end-to-end ML lifecycle
- Experience building and deploying Generative AI applications and familiarity with LLMOps
- Exposure to cloud platforms (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
- PhD in Data Science, Computer Science, AI, or 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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