This role pays more than
53%
of similar roles. Most pay
$135,000–$211,200
— the shaded band above.
At the midpoint, this role pays about
$176k
versus about
$173k
for comparable roles.
Based on 240 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
439 open roles
on FindRole.
Listed pay typically runs
$148,625–$212,500
across 228 roles with salary data.
As a Lead Data Scientist in the Finance Technology team at Consumer & Community Banking, you will lead the development of cutting-edge AI/ML solutions that enhance financial processes. Your daily responsibilities include building and training production-grade ML models on large-scale datasets, utilizing frameworks like Hadoop for data processing, and applying advanced techniques such as NLP and LLM for tasks like summarization and anomaly detection. You will also manage a global team of data scientists and engineers, collaborate with business users to identify machine learning opportunities, and present solutions to senior stakeholders. The role requires expertise in Python, SQL, Scala, and proficiency in statistical methods including regression, classification, and NLP. Familiarity with financial services and experience in cloud environments are essential for this high-impact position at a leading financial institution.
Python
R
SQL
Hive
C/C++
Java
CI/CD
Big Data
Machine Learning
Gradient Boosted Trees
Logistic Regression
Principal Component Analysis
Scenario and Sensitivity Analysis
Data Extraction
Segmentation
Statistical Analysis