VP, Applied AI & ML for Branch Network Optimization

JPMorganChase; New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

A leading financial services firm seeks an Applied AI Modeling Vice President to develop advanced AI and machine learning models for optimizing its branch network in New York. Candidates should have an advanced degree in a quantitative discipline, at least 4 years of experience in AI/ML, and proficiency in Python with familiarities in TensorFlow and PyTorch. The role involves working with geospatial data and translating technical outputs for business stakeholders.

Qualifications

• Master's or PhD in a quantitative or spatial discipline such as Machine Learning or Applied Mathematics.
• 4+ years of experience in developing and deploying AI/ML models.
• Proficient in Python with experience in ML frameworks and libraries.

Responsibilities

• Develop AI and ML models to solve complex business problems in Consumer Banking.
• Lead modeling engagements with stakeholders and analyze large datasets.
• Translate model outputs into actionable recommendations for non-technical partners.

Skills

Machine Learning

Python

Geospatial analytics

Deep learning frameworks

Spatial optimization

Behavioral modeling

Education

Advanced degree in a quantitative or spatial discipline

Tools

TensorFlow

PyTorch

NumPy

Scikit-Learn

Pandas

Jupyter Notebook Lab

GeoPandas

Job description

A leading financial services firm seeks an Applied AI Modeling Vice President to develop advanced AI and machine learning models for optimizing its branch network in New York. Candidates should have an advanced degree in a quantitative discipline, at least 4 years of experience in AI/ML, and proficiency in Python with familiarities in TensorFlow and PyTorch. The role involves working with geospatial data and translating technical outputs for business stakeholders.