Applied AI ML [Multiple Positions Available]

JPMorgan Chase & Co.•Plano, TX

2d•Onsite

About The Position

This role involves applying statistical and machine learning methodologies, including causal inference, to solve complex business problems. The position requires performing advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can improve business performance. The individual will generate deep insights through data analysis and understanding of business processes, translating these insights into actionable recommendations using algorithms. Responsibilities include building and deploying prototype solutions, collaborating with others to develop new ideas, and creating presentations to communicate key messages to senior management and colleagues.

Requirements

PhD in Economics, Statistics, Mathematics, or related field of study plus 1 year of experience in the job offered or as Applied AI ML, Quantitative Analytics, or related occupation.
Master's degree in Economics, Statistics, Mathematics, or related field of study plus 3 years of experience in the job offered or as Applied AI ML, Quantitative Analytics, or related occupation.
Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, time series, causal inference and causal estimation including Structural Equation Modeling and conditional likelihood.
Data interpolation for estimation and inference with cross sectional and panel data.
Heterogeneous data management and programming using SQL, Matlab, R, and Python.
Writing technical documentation using Latex for review by regulators in line with expectations for academic journals.

Responsibilities

Apply statistical and machine learning methodologies, including causal inference methodologies, and perform advanced analytics to solve complex and multi-faceted business problems.
Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance.
Generate deep insights through data analysis and understanding of business processes and turn insights into actionable recommendations using algorithms.
Build and deploy prototype solutions to demonstrate ideas and prove concepts.
Collaborate with others in the organization to develop new ideas and brainstorm potential solutions.
Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.