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Senior Product Associate - Data & Machine Learning

JPMorganChase

JPMorganChase

Software Engineering, Product
New York, NY, USA
Posted on Oct 14, 2024

Job Description

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.

As a Senior Product Associate in Personalization & Customer Insights, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success.

Chase’s Personalization & Customer Insights team is seeking an innovative Technical Product Manager with expertise in Big Data, AI/ML, AWS, and API product development to contribute to the rapidly evolving field of making banking simple, human, and personal. In this role, the candidate will join the Data and ML Platform team, focusing on delivering intelligent personalization to our customers. This involves collaborating with product partners, data scientists, and technology teams throughout the model development lifecycle

Job responsibilities
  • Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
  • Considers and plans for upstream and downstream implications of new product features on the overall product experience
  • Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
  • Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
  • Writes the requirements, epics, and user stories to support product development
  • Collaborates closely with Data Scientists and ML Engineers to build and train production-grade ML models on large-scale datasets, addressing various business use cases for different lines of business (LOBs) in the Consumer and Community Bank.
  • Oversees product planning and project management across multiple teams.
  • Engages with LOBs to understand data needs for modeling efforts and partners with Data Providers to acquire necessary data
Required qualifications, capabilities, and skills
  • 3+ years of experience or equivalent expertise in product management or a relevant domain area
  • Proficient knowledge of the product development life cycle
  • Experience in product life cycle activities including discovery and requirements definition
  • Developing knowledge of data analytics and data literacy
  • Excellent project management skills and motivated to achieve results
  • Structured & strategic thinker, effective communicator with excellent written, presentation and communication skills
  • Experience working with Data Scientist and ML Engineers delivering ML solutions to a production customer facing environment
  • Experience with JIRA, epic/story refinement, epic/story writing, PBR, etc.
Preferred qualifications, capabilities, and skills
  • Hands on experience with AL/ML solutions
  • BS or MS in Engineering, Data Science, or comparable field of study
  • Strong knowledge of current digital banking trends
  • Experience working with Recommendation Systems or Digital Marketing

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 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 Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm’s data sharing principles of security, customer control and convenience, and privacy.