This listing doesn't post a salary. Most similar roles pay
$119,050–$162,000.
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
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
As a Quant Analyst- Senior Associate within the Consumer & Community Banking Data & Analytics team, you will drive critical pricing initiatives by delivering quantitative problem solving and analytical research. You will lead, mentor, and develop a high-performing team while managing strategic projects including profit and loss analysis, hypothesis testing, and advanced experimental designs like A/B and multivariate tests to evaluate customer behavior. Your daily work involves designing scalable data processes and applying statistical methods to solve unstructured business problems. You will utilize a technical toolkit including Python, SQL, SAS, R, Tableau, Alteryx, Snowflake, and Spark/EMR. The role requires expertise in machine learning frameworks, causal inference, elasticity estimation, and advanced analytics to optimize pricing strategies. You will also navigate enterprise AI enablement and LLM-assisted workflows while ensuring scientific rigor across all core pricing workstreams.
Deliver quantitative problem solving and analytical research for key pricing initiatives.
Lead, mentor, and develop a high-performing team of analytics professionals.
Design and implement scalable data analytics processes to optimize business outcomes.
Analyze pricing functionality and customer behavior to improve strategies and policies.
Own strategic pricing initiatives by performing profit and loss analysis to quantify significance.
Conduct hypothesis testing and advanced experimental designs, including A/B and multivariate tests.
Solve unstructured business problems using multiple statistical techniques and deep-dive analyses.
Translate complex models into clear insights for cross-functional stakeholders and senior leadership.
What we're looking for
Graduate or post-graduate degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning.
3+ years of hands-on analytics experience in banking strategic analytics.
Proficiency in Python, SQL, and visualization tools including Tableau and Alteryx.
Strong statistical and econometric foundation with experience in pricing analytics, elasticity estimation, A/B testing, causal inference, and experimentation frameworks.
Solid skills in advanced analytics using SAS, Python, or R.
Ability to communicate complex models clearly to influence cross-functional stakeholders and senior leadership.
Experience with machine learning frameworks, supervised/semi-supervised learning, anomaly detection, and feature stores.
Proficiency in big data ETL processes, AWS, Spark/EMR, and Snowflake (preferred); experience in people leadership and IT process knowledge (preferred).
Alteryx
Tableau
SQL
Python
Excel
Snowflake
AWS Athena
AWS
Data Modeling
Machine Learning
Predictive Modeling
Business Intelligence
Data Lake
Data Analysis
Segmentation
KPIs