Senior Treasury Deposit Analytics & Liquidity Lead

JP Morgan Chase

Columbus (OH)

On-site

USD 95,000 - 125,000

Full time

14 days+

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Job summary

JPMorgan Chase in Columbus, OH seeks a Treasury Deposit Analytics Senior Associate within Core Treasury. You will design and run analyses on the $1+ Trillion retail deposit portfolio, influencing senior leadership decisions through actionable insights and robust analytics. The role blends SQL/Python work with collaboration across finance, product and business teams.

You tackle ambiguous problems, build scalable processes and advance our analytical framework with modern tools and data structures.

Qualifications

  • 4+ years of full-time work in quantitatively focused roles.
  • Proficient with Python, SQL or R for analytics.
  • Experience in financial analysis and data management.
  • Bachelor's in quantitative/analytical/financial field.
  • Advanced Excel with structured analysis for complex questions.
  • Knowledge of retail banking products.
  • Strong written and verbal communication with stakeholders.

Responsibilities

  • Design, develop and optimize SQL queries and Python scripts for treasury analytics on Databricks/Snowflake.
  • Analyze deposit performance to inform client segmentation and liquidity insights.
  • Collaborate with finance partners to evaluate economic data releases and forecasts.
  • Build relationships across the firm and deliver timely insights as an internal consultant.
  • Leverage tools to create repeatable analytics processes and adopt new tech.

Skills

Python
SQL
R
Advanced Excel
Communication skills
Data analysis
Retail banking knowledge

Education

Bachelor's degree in quantitative/analytical/financial field

Tools

Databricks
Snowflake
Hyperion Essbase
Dodeca
Tableau

Job description

JPMorgan Chase in Columbus, OH seeks a Treasury Deposit Analytics Senior Associate within Core Treasury. You will design and run analyses on the $1+ Trillion retail deposit portfolio, influencing senior leadership decisions through actionable insights and robust analytics. The role blends SQL/Python work with collaboration across finance, product and business teams.

You tackle ambiguous problems, build scalable processes and advance our analytical framework with modern tools and data structures.

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