Applied AI ML Lead, Vice President - Global Private Bank Ops and Core Tech

Job Description
Come join us if you want to create exceptional client experiences, improve operational efficiencies, and reduce risk through AI in global private bank
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Applied AI/ML Vice President within Asset & Wealth Management, you will utilize your quantitative, data science, and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design, develop, evaluate, and execute data science and analytical solutions, all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling, data analysis, and modeling, which encompasses model selection and the creation of swift, applicable modeling solutions.
Job responsibilities:

• Engages with stakeholders and understanding business requirements,
• Develops AI/ML solutions to address impactful business needs,
• Works with other team members to productionize end-to-end AI/ML solutions,
• Engages in research and development of innovative relevant solutions,
• Coaches other AI/ML team members towards both personal and professional success,
• Collaborates across teams to attain the mission and vision of the team and the firm

Required qualifications, capabilities and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
• Experience in the application of AI/ML to a relevant field.
• Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
• Strong experience in natural language processing (NLP) and its applications.
• Solid coding level in Python, with experience in leveraging libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others.
• Previous experience in working on Spark, Hive, or SQL.

Preferred Qualifications, capabilities and skills:

• Demonstrated practical experience in application of LLMs for solving business problems.
• Financial service background.
• PhD in one of the above disciplines.

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.
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.