Payments - Data Scientist Associate

Join J.P. Morgan's Corporate & Investment Bank, a global leader trusted by corporations, governments, and institutions in over 100 countries. Our Payments division processes $6 trillion daily, leading industry transformation. As part of Merchant Services, you'll work with a top provider of payment, fraud management, and data security solutions, supporting transactions in over 130 currencies. The Payments Data and Analytics team, comprising data scientists, design strategists, and business leaders, crafts data products that revolutionize business operations. Be part of a team that impacts thousands of clients globally and promotes significant change within J.P. Morgan.

As a Data Scientist Associate within the Payments Data and Analytics team, you will be responsible for executing big data analytics projects to promote product innovation for Merchant Services. You will focus on delivering value to clients and the firm through ChaseNet Analytics, analyzing complex payment structures, and creating insightful visualizations. Your role will involve collaborating with stakeholders to understand business objectives, developing data models, and providing actionable recommendations to optimize payment performance. You will have the opportunity to work with cutting-edge technologies and contribute to the transformation of financial services.

Job responsibilities:

• Develop and plan analytic projects through understanding the business objectives in the team strategy roadmap
• Develop robust analysis and deliverable plans to support clear and shared understanding of project requirements and goals
• Develop the data, queries, tables and visualizations that deliver insight both as an individual contributor and in collaboration with teammates
• Through deep subject matter expertise, create actionable recommendations to merchants on how to optimize their payment performance
• Productionalize Tableau dashboards for resilience and the functionality users need
• Bring your creative solutions to the firm's biggest problems: where could our existing solutions do better?
• Contribute to the development of data models for future analytics and platforms in conjunction with data owners and department managers,
• Collaborate with unit managers, end users, development staff, and other stakeholders to understand the business value of each analytic effort
• Apply quality assurance best practices for analytics services and support user feedback and questions
• Adhere to change control and testing processes for modifications to code and products

• Bachelor's or master's degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field
• 3+ years of working in a big data environment as a contributing member in self-directed roles
• Deep experience across the full range of database and business intelligence tools especially SQL on Snowflake, Python, and ability for rapid prototyping in Tableau; publishing and presenting information in an engaging way
• Understanding of algorithms and software engineering fundamentals
• Demonstrated ability to distill KPIs and other performance metrics from data
• Intensive, recent experience in assessing and sourcing data, optimizing data structure and managing database query performance
• Ability to clearly develop and document analytic requirements with stakeholders
• Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
• Proven strategic thinking and creative problem-solving skills with ability to translate strategy into deliverables

• Experience in the payments industry and/or technology-enabled industries is desirable
• Build trust-based relationships; we succeed as a team
• Charisma, gravitas, intellect, flexibility, and integrity that motivates others to trust, collaborate, and follow
• Have strong interpersonal and communication skills and the ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
• Think creatively and contribute ideas at all levels of project development
• Meet deadlines and communicate obstacles to delivery as soon as they become known
• Be results oriented and have great attention to detail