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 Senior 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)Troubleshoot forecast model implementation code (python) issuesAnalyze deposit data to identify trends in consumer/business behavior to aide in model development and to describe deposit growth trendsAssist 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 growthApply macroeconomic and business intuition to inform independent variable selectionTest draft models against various economic scenarios and analyze model outputAnalyze backtesting results of models to identify areas of model miss and suggest independent variables that may remediate that missAnalyze 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.4+ years of related work experience data analysis, statistical modeling, or a related areaProficiency in Python for data analysis, statistical modeling, and model reviews Hands-on experience in developing, implementing, and reviewing statistical or forecasting models, including model validation and performance assessmentStrong ability to communicate complex analytical findings clearly and effectively to senior leadership and non-technical stakeholders

Preferred Qualifications, skills, and capabilities: 

SQL and Databricks experience for large-scale data processing and advanced analytics