RMBS Quant & ML Modeling Associate

JPMorgan Chase & Co.; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Associate for the SPG QTR team to advance RMBS modeling and analytics. You will work with SPG traders to modernize credit modeling using machine learning, data processing, calibration, and performance monitoring throughout the model development lifecycle.

You will collaborate with business, technology, and risk partners to build new models, enhance insights, ensure robust infrastructure, and train internal users and external clients on model usage.

Qualifications

• Master’s or PhD in a quantitative field.
• Experience building ML/statistical/econometric models for finance.
• Proficiency in Python and statistical data packages.
• Experience with large-scale databases for ML analyses.
• Exposure to mortgage/loan performance datasets.

Responsibilities

• Develop and support advanced RMBS models and analytics.
• Back-test models and track performance to inform strategies.
• Perform large-scale data queries and ML analysis on RMBS data.
• Build scalable platforms for data analysis across modeling initiatives.
• Develop new models/tools within pricing and analytics framework.
• Monitor model performance and market conditions for RMBS decisions.
• Maintain and enhance infrastructure for valuation and hedging.
• Provide client support and training on model usage.
• Collaborate with risk and model review groups for proper usage.

Skills

Machine learning modeling

Python programming

C++ programming

Statistical analysis

Data analysis

Education

Master's degree in quantitative field

PhD in quantitative field

Tools

NumPy

Pandas

scikit-learn

StatsModels

SciPy

PostgreSQL

Redshift

Job description

JPMorgan Chase & Co. is seeking an Associate for the SPG QTR team to advance RMBS modeling and analytics. You will work with SPG traders to modernize credit modeling using machine learning, data processing, calibration, and performance monitoring throughout the model development lifecycle.

You will collaborate with business, technology, and risk partners to build new models, enhance insights, ensure robust infrastructure, and train internal users and external clients on model usage.