Data Scientist
at J.P. Morgan
Posted 16 hours ago
No clicks
- Compensation
- Not specified
- City
- Columbus
- Country
- United States
Currency: Not specified
Join the Chase Sales Analytics team to develop and deploy machine learning and optimization models that improve banker-client assignments and in-branch contact strategies. The role requires end-to-end project ownership—from ideation and analysis using SQL, Python/R and platforms like Snowflake and AWS, through implementation and experimentation. You will perform ad-hoc analyses, work with strategy partners, and communicate insights to stakeholders to drive sales performance across branches. Minimum 3+ years of relevant experience with strong problem-solving and communication skills is required.
Location: Columbus, OH, United States
Come join us in reshaping the future!
The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches.
Job Responsibilities:
- Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks.
- Utilize advanced analytics to identify opportunities and support our bankers’ as they build lasting relationships to help clients navigate their financial needs over time.
- Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed.
- Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources.
- Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required.
- Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic.
- Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions.
Required qualifications, capabilities and skills:
- Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services.
- 3+ years of experience with optimization and machine learning models design and implementation – can be in a marketing, operational, or digital setting.
- Expertise implementing next-gen models using machine learning.
- Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners.
- Problem-solving skills are essential.
- Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity.
- Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards.
The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm.
Data Scientist
at J.P. Morgan
Data Scientist
at J.P. Morgan
Posted 16 hours ago
No clicks
- Compensation
- Not specified
- City
- Columbus
- Country
- United States
Currency: Not specified
Join the Chase Sales Analytics team to develop and deploy machine learning and optimization models that improve banker-client assignments and in-branch contact strategies. The role requires end-to-end project ownership—from ideation and analysis using SQL, Python/R and platforms like Snowflake and AWS, through implementation and experimentation. You will perform ad-hoc analyses, work with strategy partners, and communicate insights to stakeholders to drive sales performance across branches. Minimum 3+ years of relevant experience with strong problem-solving and communication skills is required.
Location: Columbus, OH, United States
Come join us in reshaping the future!
The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches.
Job Responsibilities:
- Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks.
- Utilize advanced analytics to identify opportunities and support our bankers’ as they build lasting relationships to help clients navigate their financial needs over time.
- Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed.
- Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources.
- Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required.
- Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic.
- Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions.
Required qualifications, capabilities and skills:
- Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services.
- 3+ years of experience with optimization and machine learning models design and implementation – can be in a marketing, operational, or digital setting.
- Expertise implementing next-gen models using machine learning.
- Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners.
- Problem-solving skills are essential.
- Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity.
- Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards.
The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm.
