Vice President, Applied Artificial Intelligence & Machine Learning Lead, Markets Operations

Job Description
If you are passionate about solving impactful and real-world problems using data and artificial intelligence, then you have found the right team! As a Vice President, Applied Artificial Intelligence & Machine Learning Lead in Markets Operations, you will be at the forefront of innovation, developing cutting-edge technologies to support our Markets business. You will collaborate with software engineers, business stakeholders, and machine learning engineers and researchers to enable our business to scale and thrive.
Job responsibilities

• Formulate and implement AI solutions - Develop and drive the implementation of Artificial Intelligence solutions for complex problems in Markets Operations.
• Build Scalable AI Capabilities - Design and create robust, scalable, and reusable Machine Learning models and systems.
• Collaborate with Engineering Teams - Partner with software engineering teams to design and deploy AI services that integrate seamlessly with strategic systems and processes.
• Evaluate Model Performance - Design and implement intrinsic and extrinsic evaluation metrics to measure model performance in alignment with business goals.
• Deepen Business Understanding - Continuously enhance your understanding of the Markets business to develop practical and impactful solutions.
• Embed Feedback Loops - Establish robust feedback loops to power active learning and maximize model performance over time.
• Mentor and Guide Team Members - Provide technical mentorship and guidance to team members, sharing best practices and staying at the forefront of machine learning advances.
• Create Production-Grade Code - Create and maintain production-grade code for analysis and training pipelines..

Required qualifications, experiences, and skills

• Master's or higher qualification in in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field.
• Deep understanding of fundamental Machine Learning approaches.
• Practical experience with statistical data analysis and experimental design.
• Significant hands-on experience developing and deploying Data Science and ML capabilities in production at scale.
• Considerable experience in an applied Machine Learning or Data Science role.
• Strong experience with Python programming and common ML frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker).
• Effective verbal and written communication skills.
• Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.

About Us
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.
About the Team
The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.