DescriptionJoin the Finance Decision Optimization team a group of product analytics and engineering experts who support the development of predictive models used to drive strategic decisions across Consumer and Community Banking Finance.
As a Quant Analytics Senior Associate within the Finance Decision and Deposits Area team you will use multi-faceted analytics to support the end-to-end development of the deposit pricing model which is a framework used to help support deposit pricing decision making.
Job Responsibilities:
- Partner with the business modeling team to develop and refine statistical models while continuously evaluating their performance and effectiveness.
- Execute model forecasts and socialize results to business partners and stakeholders to help drive pricing strategy.
- Translate business demands to technical requirement documents and collaborate with technology teams.
- Work closely with end-users and data product owners to build datasets for model training and serving.
- Independently design develop and optimize complex SQL queries and Python scripts to support data validation exploration and integration with existing systems and codebases.
- Effectively manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests.
Required qualification capabilities and skills:
- Strong problem solver with excellent analytical critical thinking communication organizational and technical skills.
- 5 years of experience at a financial institution or consulting firm in one or a combination of the following areas: corporate finance banking treasury data analytics or quantitative modeling.
- Able to communicate effectively with a variety of technical peers including data engineering and quantitative modeling teams.
Preferred qualification capabilities and skills:
- Proficiency in business analytics tools or programming languages (e.g. SQL SAS Python R). Experience with Databricks Streamlit and AWS Cloud environments is a plus.
- Preference to those with experience dealing with large scale data projects.
Required Experience:
Senior IC
DescriptionJoin the Finance Decision Optimization team a group of product analytics and engineering experts who support the development of predictive models used to drive strategic decisions across Consumer and Community Banking Finance.As a Quant Analytics Senior Associate within the Finance Decisi...
DescriptionJoin the Finance Decision Optimization team a group of product analytics and engineering experts who support the development of predictive models used to drive strategic decisions across Consumer and Community Banking Finance.
As a Quant Analytics Senior Associate within the Finance Decision and Deposits Area team you will use multi-faceted analytics to support the end-to-end development of the deposit pricing model which is a framework used to help support deposit pricing decision making.
Job Responsibilities:
- Partner with the business modeling team to develop and refine statistical models while continuously evaluating their performance and effectiveness.
- Execute model forecasts and socialize results to business partners and stakeholders to help drive pricing strategy.
- Translate business demands to technical requirement documents and collaborate with technology teams.
- Work closely with end-users and data product owners to build datasets for model training and serving.
- Independently design develop and optimize complex SQL queries and Python scripts to support data validation exploration and integration with existing systems and codebases.
- Effectively manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests.
Required qualification capabilities and skills:
- Strong problem solver with excellent analytical critical thinking communication organizational and technical skills.
- 5 years of experience at a financial institution or consulting firm in one or a combination of the following areas: corporate finance banking treasury data analytics or quantitative modeling.
- Able to communicate effectively with a variety of technical peers including data engineering and quantitative modeling teams.
Preferred qualification capabilities and skills:
- Proficiency in business analytics tools or programming languages (e.g. SQL SAS Python R). Experience with Databricks Streamlit and AWS Cloud environments is a plus.
- Preference to those with experience dealing with large scale data projects.
Required Experience:
Senior IC
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