This role pays less than
69%
of similar roles. Most pay
$135,000–$205,200
— the shaded band above.
At the midpoint, this role pays about
$144k
versus about
$170k
for comparable roles.
Based on 239 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
436 open roles
on FindRole.
Listed pay typically runs
$152,000–$215,000
across 230 roles with salary data.
Join JPMorgan Chase’s Model Risk Governance & Research (MRGR) team as a risk management quant modeling associate, where you will play a crucial role in model validation and governance. Your daily tasks include setting standards for robust model development practices, evaluating adherence to these standards through independent testing and benchmarking, identifying weaknesses and limitations, and communicating findings to stakeholders via high-quality technical reports. You will work with cutting-edge statistical models such as linear, logistic, and time series models, using Python or R to analyze large datasets. This role requires a Master’s degree in a quantitative field and at least one year of experience in modeling or quantitative roles, along with strong communication skills. Prior experience in mortgage risk model development or financial market knowledge is advantageous, offering exposure to diverse model types and the opportunity to collaborate with top talent within the firm.
Set standards for robust model development practices and enhance them to meet evolving industry standards.
Evaluate adherence to model development standards, including design soundness, assumption reasonableness, input reliability, testing completeness, implementation correctness, and performance metrics suitability.
Identify weaknesses, limitations, and emerging risks through independent testing, benchmark model building, and ongoing monitoring activities.
Communicate risk assessments and findings to stakeholders and document them in high-quality technical reports.
Assist the firm in maintaining appropriate ongoing model usage and managing aggregate model risk within defined risk appetite.
What we're looking for
Master’s degree in a quantitative field such as Math, Physics, Engineering, Statistics, Economics or Finance required.
At least one year of experience in a quantitative or modeling role.
Deep understanding of statistical/econometric models including linear, logistic, and time series models.
Proficiency in Python, R, or equivalent programming languages.
Strong communication skills with the ability to write high-quality technical reports.
Experience in mortgage or CRE risk model development or validation preferred.
Knowledge in financial markets and regulatory stress testing (CCAR/ICAAP) beneficial.
Python
SAS
R
Snowflake
Databricks
SQL
Adobe Analytics
Tableau
Alteryx
CI/CD
Big Data
Analytics
Visualization
Machine Learning
Clustering
Predictive Modeling
Tableau
Qlik Sense
SQL
Data Modeling
Dashboard Design
Risk Management
Analytics
Data Quality Controls
Modern Data Platforms
Databricks
Self-service Analytics
Data Mesh
CI/CD
Python
PostgreSQL