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Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

Data Scientist

at J.P. Morgan

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Join the Chase Sales Analytics team to develop and implement machine learning and optimization models that improve banker-client assignment and in-branch contact strategies. You will manage projects end-to-end, analyze data from multiple sources using tools like SQL, Python/R, Snowflake and AWS, and perform ad-hoc analyses to inform outreach and performance decisions. The role focuses on driving measurable sales performance improvements within the Consumer Bank and collaborating with strategy and business partners to balance experimentation and quick business decisions.

Compensation
Not specified

Currency: Not specified

City
Columbus
Country
United States

Full Job Description

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.

The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm.
The team leverages industry-leading tools, processes, and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization.
This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch.
 

 

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.

Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

17 days ago

clicks

Data Scientist

at J.P. Morgan

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: Columbus

Country: United States

Join the Chase Sales Analytics team to develop and implement machine learning and optimization models that improve banker-client assignment and in-branch contact strategies. You will manage projects end-to-end, analyze data from multiple sources using tools like SQL, Python/R, Snowflake and AWS, and perform ad-hoc analyses to inform outreach and performance decisions. The role focuses on driving measurable sales performance improvements within the Consumer Bank and collaborating with strategy and business partners to balance experimentation and quick business decisions.

Full Job Description

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.

The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm.
The team leverages industry-leading tools, processes, and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization.
This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch.
 

 

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.