Quant Analytics Associate - Deposit Modeling and Analytics

Join our dynamic team to drive impactful insights and shape the future of deposit growth through advanced data analysis and innovative modeling.

Be a key contributor in transforming business strategy by leveraging your analytical expertise to deliver actionable recommendations and present findings to senior leadership.

As a Quant Analytics Associate on the Deposit Modeling and Analytics team, you will analyze deposit data to uncover key trends and drive model development that informs business strategy.

You will own the end-to-end creation of qualitative models and collaborate with quantitative modelers to forecast deposit balances and related revenues.

You will present your findings to senior leadership, providing clear and actionable insights.

You will apply your business intuition and technical skills to test models, analyze backtesting results, and identify opportunities for improvement.

Your expertise will help shape the future of deposit growth and product strategy.

Job Responsibilities:


* Assist quantitative modelers with data procurement and refinement (SQL, Databricks)


* Analyze deposit data to identify trends in consumer/business behavior to aide in model development and to describe deposit growth trends


* Assist quantitative modelers in the development of statistical models which forecast deposit balances and related net interest income as well as non-interest-revenue models which forecast debit card revenue, overdraft revenue, etc.


* Perform deep-dive analysis on deposit data to determine key trends that are impacting deposit growth


* Apply macroeconomic and business intuition to inform independent variable selection


* Test draft models against various economic scenarios and analyze model output


* Analyze backtesting results of models to identify areas of model miss and suggest independent variables that may remediate that miss


* Analyze recent data trends and changes to the business/products that may elicit new trends

Required Qualifications, skills, and capabilities:


* Bachelor's degree in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or a related field.


* 2+ years of related work experience data analysis, finance, statistical modeling, or a related area


* Strong ability to communicate complex analytical findings clearly and effectively to senior leadership and non-technical stakeholders

Preferred Qualifications, skills, and capabilities:


* Experience with Python/SQL is helpful, but not required

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products.

Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do.

We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewa...