Applied AI/ML Scientist — Finance Analytics & Causal Inference

JPMorganChase; Plano (TX); On-site; USD 120,000 - 165,000; Full time

Job summary

JPMorgan Chase in Plano, TX is seeking a highly skilled quantitative analytics professional. You will apply statistical and machine learning methods, including causal inference, to solve complex business problems and drive actionable insights for senior leaders.

The role requires a PhD or Master’s in a related field with relevant experience in applied AI/ML or quantitative analytics. You will work with SQL, Python, R, and MATLAB to analyze large datasets and communicate findings to stakeholders.

Qualifications

• PhD in Economics, Statistics, Mathematics, or related field with 1 year experience, or
• Master's degree with 3 years experience in Applied AI/ML or quantitative analytics.
• Strong background in statistical modeling, ML and causal inference.

Responsibilities

• Apply statistical and ML methods to solve complex business problems.
• Perform advanced quantitative analysis on large datasets to identify trends.
• Generate insights and actionable recommendations for senior management.
• Build and deploy prototype solutions to demonstrate concepts.

Skills

Generalized linear models

Non-linear models

ML frameworks

Time series

Causal inference

Panel data

SQL

MATLAB

R

Python

LaTeX

Education

PhD in Economics, Statistics, Mathematics, or related field

Master's degree in Economics, Statistics, Mathematics, or related field

Tools

SQL

MATLAB

R

Python

Job description

JPMorgan Chase in Plano, TX is seeking a highly skilled quantitative analytics professional. You will apply statistical and machine learning methods, including causal inference, to solve complex business problems and drive actionable insights for senior leaders.

The role requires a PhD or Master’s in a related field with relevant experience in applied AI/ML or quantitative analytics. You will work with SQL, Python, R, and MATLAB to analyze large datasets and communicate findings to stakeholders.