JPMorgan Chase & Co.

Senior Data Scientist Associate

JPMorgan Chase & Co. · New York, New York, United States · $114K–$170K/yr

Financial Services · 10,001+ employees

6 h ago Closes today
Mid (2-5 yrs) Full-time United States
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About the role

You will develop data pipelines, dashboards, and generative AI models to drive business strategy and growth within the Cards Analytics team. Your role involves collaborating on end-to-end solutions that provide actionable insights and enhance decision-making for Chase Treasury Services clients.

What they look for

Data Science Python SQL Databricks Tableau Alteryx Generative AI Machine Learning Statistical Analysis Data Pipelines Cloud Platforms SDLC Agentic AI Financial Services Data Visualization Business Intelligence

Requirements

Candidates must hold a degree in a scientific field and possess at least 4 years of experience in AI, machine learning, or data science. Proficiency in Python, SQL, and experience within the financial services sector are required.

Benefits

Health care coverage Retirement savings plan Backup childcare Tuition reimbursement Mental health support Financial coaching Discretionary incentive compensation

Full description

Join the Cards Data & Analytics team at JPMorgan Chase, where we leverage data science, research, and business acumen to promote client-focused innovation. Apply your technical skills to projects involving payments analytics and cutting-edge Gen-AI applications, creating impactful solutions for Chase Treasury Services clients.

Your work will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers. Utilizing tools such as Databricks, Python, Tableau and Alteryx, you will develop data pipelines and dashboards, prototype new generative AI capabilities and features, and ensure the quality and integrity of our intelligent solutions. Your contributions will help streamline operations, enhance decision-making, and foster growth.

Job Responsibilities

  • Be part of Affluent /HNW Analytics team and drive Analytics driven business strategy growth.
  • Leverage your technical skillset and curiosity to identify opportunities to help grow our Cards business
  • Build and rigorously test new data and AI driven insights
  • Develop scalable frameworks for seamless AI model integration across business applications. Ensure solutions can adapt and expand as needed.
  • Build and test AI agents. Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
  • Use tools like Databricks, Python, Tableau and Alteryx to create data pipelines and dashboards. Support AI-driven insights and decision-making.
  • Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
  • Work on agile teams to support data-driven decision-making and client relationship management.
  • Learn our business and how JPMorgan delivers value for our clients globally

Required Qualifications, Capabilities, and Skills

  • Experience working in Card or other Financial Services verticals.
  • Degree in a scientific field (Computer Science, Engineering, Data Science, etc.) with 4+ years of experience in AI/ML or data science
  • Understanding of AI models, including large language model (LLM) capabilities and limitations.
  • Experience with statistical analysis, data-driven decision-making, and pattern identification.
  • Creative problem-solving skills.
  • Experience with Python and SQL.
  • Exposure to cloud platforms such as AWS, GCP, or Azure, and SDLC concepts.
  • Strong communication and collaboration skills, with the ability to work effectively in teams.
  • Willingness to learn and contribute to agentic AI architectures.

Preferred Qualifications, Capabilities, and Skills

  • Experience in data analysis, data science, or related fields.
  • Familiarity with AWS, Databricks for data management and analysis.
  • Understanding of quality assurance practices and the importance of data integrity.
  • Knowledge of machine learning/data science theory, techniques.

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

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.