Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
JPMorgan Chase is seeking a Quant Analytics Manager within the Deposit Pricing and Analytics Team to lead deposit-based strategic analytics and end-to-end analytical storytelling for pricing decisions. You will drive insights on CDs, money movement, and macro trends to inform product strategies.
You will partner with pricing strategy leads, finance, marketing, and risk to build automated, self-serve dashboards and present findings to senior leadership.
The Deposit Pricing and Analytics team is responsible for setting the interest rates on all deposit accounts (e.g., checking, savings, and CDs) within the retail line of business at JPMorgan Chase, which has the largest deposit base among all banks in the United States.
As a Quant Analytics Manager, within the Deposit Pricing and Analytics Team, you will be responsible for deposit-based strategic analytics to help inform pricing strategy. You will also be responsible for end-to-end analytics that answer challenging, open-ended questions that drive product decisions and inform on deposit trends.
Own complex, strategic analytics to determine impacts of potential pricing actions with a specific focus on CDs and elasticity testing
Become a firmwide expert on money movement data, using it to gauge the impact of yield-seeking behavior and macroeconomic trends on deposit balances
Translate analytical results into clear, compelling visual narratives and present regularly to senior leadership
Closely partner with pricing strategy leads as well as finance, branch network, marketing, risk, and product partners
Develop interactive, automated dashboards that allow partners to quickly self-serve data
Stay informed of competitors’ changes to deposit products and pricing structures as well as broader economic trends that impact pricing strategy
Ensure data accuracy and integrity in all analytics and reporting
5+ years in data and analytics, pricing, treasury, or a related field
5+ years of experience with SQL and at least one analytic tool such as SAS, Python, or Alteryx
Bachelor’s degree in Business Analytics, Data Science, or a related quantitative field
Proven ability toquery large-scale datasets to solvehighly complex problems
Demonstrate confidence and passion for using data and analytics
Advanced knowledge of data visualization techniques
A background in financial services, consumer banking, or a related industry
Mastery of Tableau or similar analytics platforms with experience in creating automated solutions