#210733414
sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you.
Job responsibilities
Work with business leads to develop AI/ML-driven analytics and automation that support their business goals
Build up a scalable data architecture to handle the large volume of transaction data
Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management
Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints
Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development
Make real-world, commercial recommendations through effective presentations to various stakeholders
Leverage data visualization to communicate quantitative insights to help business decision-making
Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward
Required qualifications, capabilities, and skills
Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc
Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application
Experience in tackling real world data science problems, end-to-end from prototype to production, using Python
Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience
Passion for learning, sharing knowledge, building collaborations, and getting things done
Preferred qualifications, capabilities, and skills
Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub
You demonstrate hands-on experience in solving sequential decision making problems
Experience in applying LLMs and/or deep learning methods to solve business problems
Experience in working with Cloud and/or HPC environments
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
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.