Quant Analytics Senior Associate - Deposit Modeling and Analytics
JPMorgan Chase & Co., Frankfort, KY, United States
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 willanalyze 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:
Analyze deposit data to identify trends in consumer/business behavior to aide in model development and to describe deposit growth trends
Own end-to-end development of "qualitative models" which apply simplistic statistical methods to forecast certain deposit-related items
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
Present key findings of analysis succinctly to senior leadership
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
Determine accuracy of current model and identify areas of improvement
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.
4+ years of related work experience data analysis, statistical modeling, or a related area
Proficiency 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 assessment
Strong 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
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As a Quant Analytics Senior Associate on the Deposit Modeling and Analytics team, you willanalyze 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:
Analyze deposit data to identify trends in consumer/business behavior to aide in model development and to describe deposit growth trends
Own end-to-end development of "qualitative models" which apply simplistic statistical methods to forecast certain deposit-related items
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
Present key findings of analysis succinctly to senior leadership
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
Determine accuracy of current model and identify areas of improvement
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.
4+ years of related work experience data analysis, statistical modeling, or a related area
Proficiency 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 assessment
Strong 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
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