JPMorganChase Logo

JPMorganChase

Data Science Vice President - Wealth Management

Posted An Hour Ago
Be an Early Applicant
Hybrid
Columbus, OH
Senior level
Hybrid
Columbus, OH
Senior level
Leads a data science team within wealth management, delivering analytics, machine learning, experimentation, and AI solutions that improve client outcomes, product performance, and operational efficiency. Partners with product, strategy, and operations leaders to define problems, metrics, and recommendations. Oversees modeling, client behavior analysis, experimentation frameworks, executive communication, and AI use-case development while coaching team members and managing performance.
The summary above was generated by AI

Data can change the way clients experience wealth management—when it is translated into decisions people can act on. In this role, you will lead a team that connects product, strategy, and operations to measurable outcomes through analytics, machine learning, and artificial intelligence. If you are energized by ambiguity and motivated by real-world impact, you will thrive here.

As a Data Science Lead at JPMorganChase within Wealth Management Decision Sciences, you will lead a team that delivers insights and machine learning solutions to improve client outcomes, product performance, and operational efficiency. You will partner with product, strategy, and operations leaders to frame problems, define success measures, and deliver recommendations that influence prioritization and investment decisions. You will apply the right level of analytical rigor—from descriptive analytics and visualization to advanced modeling—based on the business need, while remaining hands-on in delivery.

Job responsibilities

  • Partner with product, strategy, and operations teams to identify high-impact opportunities and define measurable outcomes
  • Lead end-to-end analytics delivery, including problem framing, measurement design, insight generation, and executive-ready storytelling
  • Build and scale machine learning solutions that improve client outcomes, product performance, and operational efficiency
  • Develop and refine modeling and trigger capabilities that improve operational processes in a sustainable, scalable way
  • Analyze client behavior across segments and products to identify drivers of engagement, outcomes, and portfolio allocation patterns
  • Design and operationalize experimentation and test-and-learn frameworks to quantify impact and inform prioritization
  • Evaluate client journeys and experience outcomes to identify improvement opportunities and value creation metrics
  • Identify and develop high-value artificial intelligence and agentic use cases that elevate analytical productivity and decision quality
  • Coach and develop team members through clear standards, feedback, performance management, and career growth support

Required qualifications, capabilities and skills

  • Bachelor’s degree in a STEM-related field
  • 5+ years of industry experience delivering advanced analytics or data science solutions in a business setting
  • 2+ years of people management experience, including coaching, performance management, and team development
  • Demonstrated experience leading teams to deliver analytics and machine learning solutions that improve measurable business outcomes
  • Demonstrated ability to translate ambiguous business questions into well-defined analytical problem statements and success metrics
  • Hands-on experience applying statistical and quantitative techniques (for example, linear regression, logistic regression, decision trees, regularization methods, and feature selection/diagnostics)
  • Proficiency in developing analyses using modern data tools and programming (for example, SQL and Python) and working with large datasets
  • Experience communicating complex analytical findings to senior stakeholders through clear recommendations and structured narratives
  • Demonstrated ability to select appropriately simple or advanced methods based on problem complexity and expected business value

Preferred qualifications, capabilities and skills

  • Experience supporting wealth management, investing, or self-directed investing businesses
  • Master’s degree or PhD in a quantitative field (for example, statistics, computer science, economics, or applied mathematics)
  • Experience building and scaling experimentation programs (for example, A/B testing, causal measurement approaches, or quasi-experimental design)
  • Demonstrated continuous learning in data science and applied machine learning (for example, courses, conferences, or competitions)
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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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.

Similar Jobs

50 Minutes Ago
In-Office or Remote
United States
100K-233K Annually
Senior level
100K-233K Annually
Senior level
Automotive
Develop and ship native iOS software for Ford’s customer-facing mobile app, serving millions of drivers worldwide. Responsibilities include contributing to product architecture and design reviews, evaluating technologies, writing documentation, collaborating with product and design teams, and delivering production-grade software using agile and CI/CD practices. The role emphasizes Swift, SwiftUI, mobile architecture, testing, observability, debugging, and operational support.
Top Skills: Ci/CdComposable Architecture (Tca)DevOpsFastlaneiOSMvcMvvmRubySite Reliability EngineeringSwiftSwiftui
An Hour Ago
Hybrid
Senior level
Senior level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads aerospace customer business and sales growth across assigned accounts, developing executive and technical relationships, expanding pipeline and aftermarket contract penetration, identifying competitive displacement opportunities, and closing short- and long-term revenue opportunities. Manages direct reports, sponsors large-scale projects, coordinates sales support, aligns teams, and supports strategic organizational planning. Travel up to 30% may be required.
Top Skills: Software
15-20 Hourly
Junior
eCommerce • Fashion • Retail • Sales • Wearables • Design
Supports store sales and customer service by welcoming clients, operating POS, handling cash, recommending products, and maintaining the sales floor. Processes shipments and transfers, replenishes inventory, supports visual merchandising, maintains stockroom organization, follows loss prevention procedures, and promotes a positive brand experience. Requires flexible scheduling, retail experience, strong communication, basic technology skills, and the ability to lift up to 50 pounds occasionally.
Top Skills: Cash Register SystemsInternetIpadLaptopMobile PosPosWalkie-Talkie

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account