below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$135,000–$205,961.
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
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
As a Quant Analytics Senior Associate - Credit Card Installment, you will join the Credit Card Installment team to deliver quantitative research and pricing analytics. You will perform deep-dive analyses of customer behavior, design scalable analytics processes, and lead a high-performing team to support key pricing initiatives. Your daily work involves conducting hypothesis testing, A/B and multivariate testing, and elasticity estimation to evaluate pricing strategies and profit and loss. You will utilize Python, SQL, SAS, R, Tableau, and Alteryx to solve unstructured business problems. The role requires applying statistical and econometric foundations, including causal inference, clustering, and anomaly detection. You will also evaluate generative artificial intelligence and large language models to improve workflow efficiency while prioritizing classical statistical and graph analytical methods for core pricing strategy workstreams.
Deliver quantitative research and analytical problem-solving to support key pricing initiatives.
Apply advanced statistical techniques and business judgment to evaluate pricing approaches and customer behavior.
Lead, mentor, and develop a high-performing analytics team while promoting scientific rigor.
Design and implement scalable analytics processes to optimize business outcomes.
Conduct hypothesis testing and advanced experimental designs, including A/B and multivariate tests.
Own strategic pricing initiatives, including effectiveness evaluation and profit and loss analysis.
Translate complex analytical findings into actionable business decisions for cross-functional partners.
Analyze pricing functionality and configuration to improve overall pricing strategies and policies.
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.
Hands-on proficiency with Python and SQL, and experience with visualization tools like Tableau and analytics tools like Alteryx.
Strong statistical and econometric foundation with hands-on pricing analytics experience, including elasticity estimation, A/B testing, causal inference, and experimentation frameworks.
Strong advanced analytics skills using SAS, Python, or R.
Excellent communication skills to translate complex models into clear explanations for cross-functional stakeholders and senior leadership.
Exposure to enterprise artificial intelligence enablement, large language model-assisted workflows, or analytics transformation programs.
Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration, and pricing sensitivity evaluation.
Proficiency in extract, transform, load processes across structured and unstructured data sources (preferred).
Professional experience with Amazon Web Services, Apache Spark, Amazon EMR, Snowflake, Confluence, and generative artificial intelligence tools (preferred).
People leadership experience, including recruiting, coaching, performance management, and fostering an inclusive culture (preferred).
Strong understanding of information technology processes and databases, with the ability to work directly with data owners and custodians (preferred).
SQL
Python
Snowflake
Amazon Web Services
Tableau
Generative AI
Large Language Models
Bitbucket
Data Visualization
Source Control
Business Intelligence
Anomaly Detection
Forecasting