JPMorgan Chase & Co.
Applied AI & ML Scientist - Markets Operations

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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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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J.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.
J.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.
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