20 days old

JPMorgan Chase & Co.
Jersey City, NJ 07302
  • Job Code
    200031232

Vice President - US Wealth Management - Analytics & Insights

Job Description

Do you dream in petabytes?  Are you constantly identifying new ways to leverage data to solve unknown problems and answer unasked questions?  Would you like to be part of a team that seeks the stories in data that illuminate big investments that will best serve and delight clients?  JPMorgan Chase needs curious, passionate data scientists to drive the transformation of data into insights that identify "aha!" moments and enable business breakthroughs. 
 
The Data & Analytics team is the engine that powers JPMorgan Chase with insights to create competitive 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 Decision Sciences team leverages industry-leading data-driven techniques to convert data into meaningful insights that enable the firm to drive value and an outstanding customer experience. 
 
The wealth management industry is rapidly changing and JPMorgan Chase is transforming our U.S. wealth management business to accelerate growth.  We are looking for talented data scientists to help execute our analytic strategies for the newly formed US Wealth Management (USWM) business unit which includes Chase Wealth Management, JP Morgan Securities, and the You Invest digital platforms.  Reporting to the Executive Director of USWM Decision Science, this role will be central in understanding investment customers’ financial needs and their interactions with our products, services and channels.
 
This is a vital hands-on role so we’re looking for exceptionally creative, ambitious, "data curious" thinkers who can help to extract true business value from data.  A typical day might include:
  • Searching for collections of behaviors and events that individually are innocuous but collectively indicate a likely next action in order to enable timely, relevant outreach
  • Developing a testing strategy to learn what drives a prospect to choose self-directed investing, full service wealth management, or a hybrid solution
  • Predicting a segment’s unique financial needs within the first 3 months on book to improve engagement and deepening with new clients
  • Providing expertise as to how data visualization, greedy algorithms, machine learning, and text analytics/NLP can be leveraged to optimize sales performance
  • Creating self-serve tools to put real-time information in the hands of decision-makers
  • Identifying potential attrition events and determining how early the prediction needs to be made for any counteraction to be effective
 

 

You are a strong candidate if you:
  • Have a unique combination of technical skills, mathematical know-how, storytelling, and intuition to understand what is happening to data from inception to model to business decision
  • Think R is more than a letter, PYTHON is more than a snake, and Java is more than an island or coffee bean; you have programming skills needed for both the computational aspects of big data as well as working with statistical models
  • Stay abreast of new applications in machine learning, deep learning, and AI but can recognize and apply the right technologies when the challenge you are solving is less complex
  • Like to focus on solving problems, not just boosting model performance curves
  • Can suspend belief and apply an objective analysis of facts before formulating opinions or rendering judgments on a topic
  • Recognize the stories in the data and tell them in ways that illuminate which customers are likely to do what next
 
Bonus points if you:
  • Previously worked in an insights function at a financial services firm or a marketing/advertising agency
  • Have a strong grasp of big data disciplines, Agile (scrum) methodologies, and new technologies
  • Are proficient with Business Intelligence (BI) tools (e.g. Tableau, Shiny Dashboards)
  • 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

 

Req #: 200031232
Location: Jersey City, NJ US
Job Category: Data & Analytics
Employment Type: Full Time
Potential Referral Amount: US Dollar (USD)


Keyword: consumer%20banking

Categories

Posted: 2020-05-11 Expires: 2020-06-10

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JPMorgan Chase & Co.
Jersey City, NJ 07302

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