JPMorgan Chase
Quant Analytics Senior Associate - Credit Card Installment
$100K–$165K
Wilmington, DE +1 · Senior · Full-time · Posted Aug 20, 2026
- Location
- Wilmington, DE
Brooklyn, NY - Experience
- 3+ years of hands-on analytics experience in banking strategic analytics.
- Education
- Graduate or post-graduate degree in a quantitative discipline.
About the job
Conduct quantitative research and pricing analytics for credit card installment products, using experiments and customer-behavior analysis to inform pricing strategies and business decisions.
What you'll do
- Analyze pricing functionality, configuration, customer behavior, and policy effectiveness; quantify statistical and practical significance.
- Design experiments, including A/B and multivariate tests, and develop analyses to evaluate pricing strategies and business outcomes.
- Partner with cross-functional teams and lead, mentor, hire, and develop an analytics team.
What they ask for
- Graduate or post-graduate degree in a quantitative discipline.
- 3+ years of hands-on analytics experience in banking strategic analytics.
- Hands-on proficiency with Python and SQL, plus visualization or analytics tools such as Tableau or Alteryx.
- Strong statistical and econometric foundation and hands-on pricing analytics experience, including elasticity estimation, A/B testing, causal inference, and experimentation frameworks.
Nice to have
- Experience with extract, transform, load processes across structured and unstructured data sources.
- Professional experience with Amazon Web Services, Apache Spark, Amazon EMR, Snowflake, Confluence, or generative artificial intelligence tools (subject to firm-approved usage).
Pay
USD 99,750.00-$155,000.00 base salary; USD 109,250.00-$165,000.00 base salary
Tools
Python, SQL, Tableau, Alteryx, SAS, R, Amazon Web Services, Apache Spark
AI focus
Promote ethical AI and consider generative AI, large language models, and intelligent automation for investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency; prioritize classical statistical and graph methods for core pricing strategy.
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