1+ months

VP Data Scientist - Sales Optimization Product Analytics

Columbus, OH 43215
  • Job Code
    210310122
  • Jobs Rated
    1st

This role sits within the Sales Optimization & Modeling function and will partner with the various Lines of Business to analyze the performance of the bankers, financial and lending advisors in over 5,000 Chase branches. The role will develop key capabilities to analyze the sales pipelines and identify opportunities to improve customer acquisition and retention. The candidate must be able to operate in a collaborative environment and will require you to engage with a wide variety of partners to socialize and move forward all Sales initiatives.

Key Responsibilities:

  • Develop the roadmap and execution of strategic initiatives to better manage Chase bankers with data and insights to help leadership identify strategic areas for improvement
  • Research, develop and implement new methods of measuring and analyzing data sets. Facilitate use case and requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs.
  • Understand the entirety of the sales funnel through incorporation of interaction data, quantification of opportunity and analysis of the pipeline data to identify opportunities
  • Collaborate across functions and LOB's to drive Analytics and Insights, formulate quantifiable goals, advise on strategies and experimentation to achieve business goals
  • Support partnership with key Stakeholders with strong understanding of underlying data
  • Develop advanced analytics using an assortment of modeling methods, algorithms and techniques, e.g., predictive modeling, text mining, statistical forecasting and analysis, optimization, and simulation modeling
  • Use data analysis techniques to develop insights that lead to new recommendations presented to management
  • Profile, wrangle, and prepare data from diverse sources to support analytical efforts. Write data transformation logic in languages such as Python, SAS, or Scala.

Minimum requirements

  • 6+ years of experience with analysis supporting an operating line of business, financial services experience preferred
  • Bachelors with 5+ years' experience in a quantitative or related discipline or Masters or PhD in a related field
  • Subject Matter Expert in advanced statistical techniques, predictive modeling, time series forecasting, text mining, Machine Learning
  • Advanced knowledge of statistical software packages, including SAS, Python and R
  • Comfortable communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization


Preferred Skills

  • Demonstrated ability to define business KPIs and establish measurement frameworks
  • 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.
  • Proven ability to work in a fast paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards
  • Technical understanding of common relational database systems; i.e., Teradata and Oracle
  • Advanced understanding of Hadoop-related technologies & their applications

Keyword: consumer%20banking

This role sits within the Sales Optimization & Modeling function and will partner with the various Lines of Business to analyze the performance of the bankers, financial and lending advisors in over 5,000 Chase branches. The role will develop key capabilities to analyze the sales pipelines and identify opportunities to improve customer acquisition and retention. The candidate must be able to operate in a collaborative environment and will require you to engage with a wide variety of partners to socialize and move forward all Sales initiatives.

Key Responsibilities:

  • Develop the roadmap and execution of strategic initiatives to better manage Chase bankers with data and insights to help leadership identify strategic areas for improvement
  • Research, develop and implement new methods of measuring and analyzing data sets. Facilitate use case and requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs.
  • Understand the entirety of the sales funnel through incorporation of interaction data, quantification of opportunity and analysis of the pipeline data to identify opportunities
  • Collaborate across functions and LOB's to drive Analytics and Insights, formulate quantifiable goals, advise on strategies and experimentation to achieve business goals
  • Support partnership with key Stakeholders with strong understanding of underlying data
  • Develop advanced analytics using an assortment of modeling methods, algorithms and techniques, e.g., predictive modeling, text mining, statistical forecasting and analysis, optimization, and simulation modeling
  • Use data analysis techniques to develop insights that lead to new recommendations presented to management
  • Profile, wrangle, and prepare data from diverse sources to support analytical efforts. Write data transformation logic in languages such as Python, SAS, or Scala.

Minimum requirements

  • 6+ years of experience with analysis supporting an operating line of business, financial services experience preferred
  • Bachelors with 5+ years' experience in a quantitative or related discipline or Masters or PhD in a related field
  • Subject Matter Expert in advanced statistical techniques, predictive modeling, time series forecasting, text mining, Machine Learning
  • Advanced knowledge of statistical software packages, including SAS, Python and R
  • Comfortable communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization


Preferred Skills

  • Demonstrated ability to define business KPIs and establish measurement frameworks
  • 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.
  • Proven ability to work in a fast paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards
  • Technical understanding of common relational database systems; i.e., Teradata and Oracle
  • Advanced understanding of Hadoop-related technologies & their applications

Keyword: consumer%20banking

Jobs Rated Reports for Data Scientist

Posted: 2022-07-26 Expires: 2022-09-30

For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world.

Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries.

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VP Data Scientist - Sales Optimization Product Analytics

JPMorgan Chase & Co.
Columbus, OH 43215

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