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Posted on:
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JPMorgan Chase & Co

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VP, Manager Of JPMWM Advisor Productivity Analytics

JPMorgan Chase & Co

Jersey City, NJ, United States Salary : $ 132,639 per year Apply Now
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Job Type: Full Time

Category: General Management

Key Skills:

training Internship - <p>if You Make Hearts Beat Faster, Your Own Has To Be In The Right Place. Key Skills

  • Project Management||Agile||PowerPoint||excel||Digital Marketing||Java||Building Automation||Core Java||Evolution||MAC

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Short Description

Join the team that helps to optimize the performance of our advisors and service teams.

Posting Description

The Data & Analytics team is the engine that powers JPMorgan Chase with insights to create advantages for our business and deliver value for our customers.  We have unified data and analytics talent across the firm and encompass a variety of disciplines including data science, reporting, quantitative analytics, and data governance.  Within this organization, the Sales Sciences teams leverages industry-leading data-focused techniques to convert data into meaningful insights that enable the firm to promote value and create outstanding customer and employee experiences.  The industry is rapidly changing, and JPMorgan Chase is transforming our wealth management business to accelerate growth.  

Job Responsibilities

  • We are looking for a talented data science manager to help execute our analytic strategies for the business unit, which includes dedicated financial advisors, pooled remote advice, and our online investing platforms.  
  • Reporting to the Executive Director of JPMWM Sales Sciences, this role will be central in understanding advisor behaviors to inform practice management strategies as part of a robust performance management program.  
  • This is a producing manager role: you will manage a small team of data scientists as well as be expected to roll up your sleeves to help with hands-on, technical work where needed.

Required Qualifications, Capabilities, and Skills

  • Are an experienced manager; you must have a demonstrated history of leading world-class teams of high performing data scientists in the delivery of analytic and machine learning to improve business function performance
  • Possess the business acumen and critical thinking needed to ensure your team right-sizes analytic approaches to the complexity of a problem that ranges from descriptive analytics and data visualization to leveraging machine learning and artificial intelligence to implement ‘next best actions’
  • Stay abreast of modern data mining, quantitative research, and data science techniques (e.g., decision trees, linear/ multinomial logistic/ridge regressions, collinearity analysis (VIF), machine learning, string similarity, behavioral analytics, look-a-like models)
  • Can coach your team on both the computational aspects of big data as well as working with statistical models (e.g., complex SQL scripts, PySpark libraries or Jupyter Notebooks) … but you focus on solving problems, not just boosting model performance curves
  • Thrive in fast-paced, start-up environments but can also navigate large, matrixed organizations to break down siloes
  • Are comfortable summarizing key information and presenting recommendations to multiple stakeholders to influence senior management

Preferred Qualifications, Capabilities, and Skills

  • Previously worked in a workforce analytics, sales performance analytics, or sales science organization
  • Have a strong grasp of big data disciplines, Agile (scrum) methodologies, and new technologies
  • Are a lifelong learner and hold a growth mindset; we welcome individuals who geek out on industry podcasts, stay abreast of cutting-edge techniques, or participate in KDD and Kaggle competitions for “fun” and love to share what they are learning with the rest of the team

*** Relocation is not offered/supported for this role