Payments - Data Scientist Associate

DescriptionJoin 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 roadmapDevelop robust analysis and deliverable plans to support clear and shared understanding of project requirements and goalsDevelop the data, queries, tables and visualizations that deliver insight both as an individual contributor and in collaboration with teammatesThrough deep subject matter expertise, create actionable recommendations to merchants on how to optimize their payment performanceProductionalize Tableau dashboards for resilience and the functionality users needBring 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 effortApply quality assurance best practices for analytics services and support user feedback and questionsAdhere to change control and testing processes for modifications to code and productsRequired qualifications, capabilities and skills:Bachelor's or master's degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field3+ years of working in a big data environment as a contributing member in self-directed rolesDeep 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 wayUnderstanding of algorithms and software engineering fundamentalsDemonstrated ability to distill KPIs and other performance metrics from dataIntensive, recent experience in assessing and sourcing data, optimizing data structure and managing database query performanceAbility 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 initiativesProven strategic thinking and creative problem-solving skills with ability to translate strategy into deliverablesPreferred qualifications, capabilities and skills :Experience in the payments industry and/or technology-enabled industries is desirableBuild trust-based relationships; we succeed as a teamCharisma, gravitas, intellect, flexibility, and integrity that motivates others to trust, collaborate, and followHave 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 initiativesThink creatively and contribute ideas at all levels of project developmentMeet deadlines and communicate obstacles to delivery as soon as they become knownBe results oriented and have great attention to detail