Applied AI ML Associate

About the role

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. 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.

Additional Information

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 A pplied 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

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