Payments - Data Scientist Associate

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This 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. As a part of our dynamic team, you'll contribute to the execution of our global analytics strategy, creating data products that revolutionize how we and our clients conduct business. As a Data Scientist Associate, you'll be at the forefront of big data analytics projects, focusing on ChaseNet Analytics and delivering value through our tools. Knowledge of debit and credit card payments will be beneficial as you navigate the intricacies of interchange, network, and processing fees. As a Payments - Data Scientist Associate in the Payments Data and Analytics team, you will be responsible for executing big data analytics projects in response to product innovation for Merchant Services. You will focus on ChaseNet Analytics, delivering value to clients and the firm with our tools. Your understanding of debit and credit card payments will be a plus as you will analyze the complexity of interchange, network, and processing fees. 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 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 Required qualifications, capabilities and skills: Bachelor’s or Master’s degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field Minimum 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 Experience in the payments industry and/or technology-enabled industries 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 : 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

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