JPMorgan Quantitative Analytics Senior Associate 

United States, Ohio, Columbus 

977253248

As a Quantitative Analytics, Senior Associate within the Consumer & Community Banking (CCB) Treasury Finance team, you will be part of a team promoting complex financial analysis related to customer deposit pricing decisions. You will have the opportunity to support the business through advanced analytics, applying core treasury and corporate finance valuation concepts to promote better pricing decisions. You will work cross-functionally in an agile operating model with modeling and pricing teams, CFOs, Treasury, Data & Analytics, Corporate Technology, Product Owners, and Model Governance.

Job responsibilities:

• Drive business outcomes and decision making through data and analytics, utilizing a data warehouse to inform modeling approaches, understand customer behavior, and perform sensitivity analysis
• Work with the business modeling team closely to aid the development and refinement of statistical models
• Partner with business and technology teams to develop enhancements to the modeling datasets, Business Banking and Wealth Management model suite, forecasting user interface, and implementation solution
• Translate business demands to technical requirement documents and collaborate with technology teams
• Drive strategic direction and provide thought leadership as a critical member of the price elasticity and optimization team in support of the Product Owner

Required qualifications, capabilities and skills:

• 5+ years of experience at a financial institution or consulting firm in one or a combination of the following areas: corporate finance, treasury, data analytics, or quantitative modeling
• Problem solver with strong critical thinking, communication, organizational, analytical, and technical skills
• Proven experience working with analytical tools (Excel, SQL, Python, SAS, Alteryx, Tableau, etc.)
• Able to analyze problems, to find relationships, to identify patterns in large datasets, and to see the business implications of findings
• Able to communicate effectively with a variety of technical peers including data engineering and quantitative modeling teams
• Must thrive in a fast-paced environment and have passion and intellectual curiosity to find and capture business value