Payments - Data Scientist Associate

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

Seize the opportunity to join our rapidly expanding Payments Data and Analytics team at J.P. Morgan, where were revolutionizing business with data-promoten decision making. As part of our team, youll help define and execute a global analytics strategy, creating data products that will significantly impact our clients and the way we do business. This role places you at the forefront of emerging technologies and business models, promoting transformative change in the financial services sector.

As a Payments - Data Scientist Associate in the Payments Data and Analytics team, you will be at the forefront of defining and executing the multi-year global analytics strategy and roadmap. You will have the opportunity to work with a dynamic team of data scientists, design strategists, and business leaders, creating and building data products that transform the way we and our clients do business. Your role will involve executing big data analytics projects, managing complex data sets, and creating insightful visualizations. This is an exciting opportunity to make a significant impact in a fast-paced, innovative environment.

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 team mates
• Provide actionable recommendations to merchants on how to optimize their payment performance through deep subject matter expertise.
• 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, in conjunction with data owners and department managers, to the development of data models for future analytics and platforms
• 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

Required qualifications, capabilities and skills:

• 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

Preferred qualifications, capabilities and skills:

• 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