What are the responsibilities and job description for the CCB Product & Transformation – Applied AI ML Lead position at JPMorgan Chase?
Join a team of analytics professionals focused on applied AI and quantitative modeling within Consumer & Community Banking (CCB) at JPMorganChase. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorganChase to assess and execute critical business decisions.
As an Applied AI ML Lead, in our Product & Transformation team, you will work with colleagues across JPMorgan Chase developing cutting-edge products and systems to serve our employees supporting Chase Finance & Business Management.
Job Responsibilities:
Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.
Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results.
Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.
Become a subject matter expert and trusted advisor in the statistical, optimization, or Artificial Intelligence modeling discipline.
Contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.
Mentor junior team members.
Required qualifications, capabilities, and skills:
5 years of related experience.
Advanced degree in Data Science, Computer Science, Operations Research, Mathematics, Statistics, Engineering or equivalent quantitative field.
Experience in developing Artificial Intelligence, optimization, and/or statistical models to solve real world problems (e.g. Classification, Regression, Recommender Systems, Natural Language Processing, or Neural Language Modeling).
Proficiency in SQL and at least one programming language is required.
Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box.
Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
Preferred qualifications, capabilities, and skills:
Ph.D. in Data Science, Artificial Intelligence, or Computer Science.
Proficient in Python.
Please note: Relocation is not offered and/or supported for this role.