Company name
JPMorgan Chase & Co,
Location
Jersey City, NJ, United States
Employment Type
Full-Time
Industry
Clevel, Executive, Sciences, Scientist, Finance, 100k
Posted on
May 10, 2020
Profile
Vice President - US Wealth Management - Analytics & Insights','200031232','!*!
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 outreachDeveloping a testing strategy to learn what drives a prospect to choose self-directed investing, full service wealth management, or a hybrid solutionPredicting a segment’s unique financial needs within the first 3 months on book to improve engagement and deepening with new clientsProviding expertise as to how data visualization, greedy algorithms, machine learning, and text analytics/NLP can be leveraged to optimize sales performanceCreating self-serve tools to put real-time information in the hands of decision-makersIdentifying 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 decisionThink 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 modelsStay 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 complexLike to focus on solving problems, not just boosting model performance curvesCan suspend belief and apply an objective analysis of facts before formulating opinions or rendering judgments on a topicRecognize 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 agencyHave a strong grasp of big data disciplines, Agile (scrum) methodologies, and new technologiesAre 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 ','JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.','Data Scientist','US-NJ-Jersey City-NOC 7 / 59199','','CONSUMER & COMMUNITY BANKING','Full-time','Standard','Day Job','','Chase','Chase','Vice President - US Wealth Management - Analytics & Insights
Company info
JPMorgan Chase & Co,
Website : http://www.jpmorganchase.com