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Quant Analytics Senior Associate - Lending

at J.P. Morgan

Back to all Databases jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Quant Analytics Senior Associate - Lending

at J.P. Morgan

Mid LevelNo visa sponsorshipSQL/No-SQL Databases

Posted 18 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Columbus
Country
United States

Join the Business Banking Lending Product Analytics team to deliver data-driven insights that inform lending product strategy and improve end-to-end lending processes. You will partner with product managers to design and execute analyses, build frameworks, define KPIs, and present concise findings to stakeholders. The role requires advanced SQL, Tableau, and Snowflake skills to transform and validate data and to drive operational efficiency while maintaining strong risk and compliance standards.

Location: Columbus, OH, United States

Join our Business Banking Lending Product Analytics team and help shape the future of banking for small businesses. You’ll have the opportunity to grow your career, develop your skills, and make a meaningful impact on our customers.

As a Business Banking Quant Analytics Senior Associate within the Lending Product Analytics team, you will provide actionable insights to product managers, helping us drive business lending product strategy and improve end-to-end lending process. You’ll leverage analytics and cross-functional collaboration to deliver strong analytic solutions, and contribute to streamline workflows, enhance operation efficiency, and optimize the customer lending experience, while maintain strong risk management and compliance standards. 

You will support product managers as a consultant, building frameworks for data-driven solutions, running analyses, and reviewing results with partners. Your work will help establish controls, define and track KPIs, and drive operational efficiency.

Job Responsibilities :

  • Build strong relationships with product managers and functional partners
  • Develop and execute analyses and reports from end to end
  • Summarize data results in a non-technical manner for business partners
  • Think from a business standpoint and relate it to data
  • Support Lending products and operation process improvement. Partner with the business and broader Data & Analytics (D&A) organization to understand business requirements and objectives.

 Required Qualifications, Capabilities, and Skills :

  • Bachelor’s degree in a relevant quantitative discipline focused on data engineering, data warehousing, computer science, or analytics
  • Minimum three years of experience in quantitative analytics
  • Advanced SQL skills, including data transformation, validation, de-duplication, aggregation, and data structure transformation
  • Strong Tableau skills, including building dashboards and visualizations to monitor process KPIs and present insights to stakeholders.
  • Experience with Snowflake
  • Clear communication and presentation skills, able to articulate complex issues concisely
  • Strong organizational skills, attention to detail, and a structured approach to coding and documentation.

Preferred Qualifications, Capabilities, and Skills

  • Familiarity with banking products such as Business Banking loans and lines 
  • Familiarity with AWS, and Oracle.
  • Good to know Python and Alteryx.
Deliver data insights for product managers, guide lending strategy, and improve business banking processes for measurable client impact

Quant Analytics Senior Associate - Lending

at J.P. Morgan

Back to all Databases jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Quant Analytics Senior Associate - Lending

at J.P. Morgan

Mid LevelNo visa sponsorshipSQL/No-SQL Databases

Posted 18 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Columbus
Country
United States

Join the Business Banking Lending Product Analytics team to deliver data-driven insights that inform lending product strategy and improve end-to-end lending processes. You will partner with product managers to design and execute analyses, build frameworks, define KPIs, and present concise findings to stakeholders. The role requires advanced SQL, Tableau, and Snowflake skills to transform and validate data and to drive operational efficiency while maintaining strong risk and compliance standards.

Location: Columbus, OH, United States

Join our Business Banking Lending Product Analytics team and help shape the future of banking for small businesses. You’ll have the opportunity to grow your career, develop your skills, and make a meaningful impact on our customers.

As a Business Banking Quant Analytics Senior Associate within the Lending Product Analytics team, you will provide actionable insights to product managers, helping us drive business lending product strategy and improve end-to-end lending process. You’ll leverage analytics and cross-functional collaboration to deliver strong analytic solutions, and contribute to streamline workflows, enhance operation efficiency, and optimize the customer lending experience, while maintain strong risk management and compliance standards. 

You will support product managers as a consultant, building frameworks for data-driven solutions, running analyses, and reviewing results with partners. Your work will help establish controls, define and track KPIs, and drive operational efficiency.

Job Responsibilities :

  • Build strong relationships with product managers and functional partners
  • Develop and execute analyses and reports from end to end
  • Summarize data results in a non-technical manner for business partners
  • Think from a business standpoint and relate it to data
  • Support Lending products and operation process improvement. Partner with the business and broader Data & Analytics (D&A) organization to understand business requirements and objectives.

 Required Qualifications, Capabilities, and Skills :

  • Bachelor’s degree in a relevant quantitative discipline focused on data engineering, data warehousing, computer science, or analytics
  • Minimum three years of experience in quantitative analytics
  • Advanced SQL skills, including data transformation, validation, de-duplication, aggregation, and data structure transformation
  • Strong Tableau skills, including building dashboards and visualizations to monitor process KPIs and present insights to stakeholders.
  • Experience with Snowflake
  • Clear communication and presentation skills, able to articulate complex issues concisely
  • Strong organizational skills, attention to detail, and a structured approach to coding and documentation.

Preferred Qualifications, Capabilities, and Skills

  • Familiarity with banking products such as Business Banking loans and lines 
  • Familiarity with AWS, and Oracle.
  • Good to know Python and Alteryx.
Deliver data insights for product managers, guide lending strategy, and improve business banking processes for measurable client impact