JPMorgan Chase
Hybrid

Associate Data Scientist - JPMWM Content Optimization

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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 industry is rapidly changing, and JPMorgan Chase is transforming our wealth management business to accelerate growth. We are looking for a talented associate to help execute our analytic strategies for the newly formed JPMorgan Wealth Management (JPMWM) business unit which includes Chase Wealth Management, JP Morgan Advisors, and Online Investing digital platforms. Reporting to the Executive Director of JPMWM Content Intelligence & Optimization, 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
  • Building analytical models that help us better understand customers to anticipate their needs and serve them with the right service at the right time through the right channel
  • 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
  • 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
  • Possess the programming skills needed for both the computational aspects of big data as well as working with statistical models (e.g., PYTHON and SQL scripting against enterprise database systems)
  • Have a quantitative background and experience with machine learning techniques, but you like to focus on solving problems versus just boosting model performance curves
  • 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
  • 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 BI tools (e.g. Tableau, Shiny Dashboards)
  • Have experience with Spark and distributed computing
  • 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


About Us Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the "WELL Health-Safety Rating" for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.
As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Full vaccination is a requirement for this role for new hires joining JPMorgan Chase. Additional requirements include sharing information including your vaccine card in the firm's vaccine record tool and may include mask wearing and social distancing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.
Note: The requirement to be fully vaccinated to be hired for this role does not apply to roles with a work location in Arkansas, Florida, Iowa, Montana, and Tennessee. For applicants to these roles, JPMorgan Chase will consider all qualified applicants regardless of vaccination status, due to state and local laws.
Equal Opportunity Employer/Disability/Veterans
About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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What are JPMorgan Chase Perks + Benefits

Culture
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Partners with nonprofits
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401(K) matching
Employee stock purchase plan
Performance bonus
Child Care & Parental Leave Benefits
Generous parental leave
Family medical leave
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Generous PTO
Paid holidays
Paid sick days
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