JPMorgan Chase Bank, N.A.
JPMorgan Chase Bank, N.A.

Job Overview

Data Scientist Sr. Associate (AI/ML) Chase: Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.5 trillion and operations worldwide. Chase serves nearly half of America’s households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to Chase Consumer & Community Bank (CCB) serves 61 million households and 4 million small businesses with a broad range of financial services, including banking, credit cards, auto finance, payments, mortgages, and investment advice. CCB Data & Analytics: CCB Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data governance and data strategy/partnerships to reporting, data science and machine learning, and are actively engaged in ensuring impact at the front-line and the customer through Sales and Marketing transformation. We have a strong partnership with our dedicated Technology partners, who provide us with our cutting edge data and analytics infrastructure. Joining CCB Data & Analytics means you sit in the engine that powers Chase with insights and data science solutions, providing an opportunity to materially impact both our customer and business outcomes. The team also offers significant learning and mobility opportunities for career development and future growth , Machine Learning and Artificial Intelligence (MLAI) Garage: Chase is on a mission to deliver a customer-obsessed experience by improving clock speed and providing first class customer interactions. In order to achieve this mission it aims to be an AI fueled organization focused on improving and simplifying the experience of our customers and employees. The MLAI Garage team, part of CCB Data and Analytics team, builds best in class ML and AI solutions for CCB Operations in an Agile environment. Position Overview The role is a unique opportunity for an experienced practitioner in data science and analytics. The team is responsible for data analysis supporting the MLAI garages, and is fully embedded with product teams following an Agile delivery methodology. The position offers an opportunity to work with cutting edge big data technologies and methods and to apply analytical and data science skills to support the development of ML and AI solutions Responsibilities: Develop, plan, and execute analytical work working with large scale datasets and Big Data environment, individually and in teams, to drive best in class solutions for Operations Partner and work closely with other teams to ensure feasibility and progress of MVPs Work side by side with modeling team to ensure the best ML and AI solutions are being delivered to the business Follow Analytics best practices Have a clear view of metrics of success, model and implementation feasibility and impact to customer Share latest ML AI efforts in the industry that can improves operations efficiency and lower OpEx Synthesize analytical findings for consumption by garage teams and senior executives o Deliver practical data insights in a compelling manner actionable by our partners o Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations Establish and manage relationships with our internal partners becoming a trusted advisor on business data and analytics techniques, with strong understanding of business drivers and underlying data Qualifications and Required Skills : 4+ years of industry hands on experience in leveraging advanced data science (including ML) and business analytics to solve business problems Bachelor’s degree in relevant quantitative field required, advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields) Thought leader in data science and/or analytics who can help the business define their business problem, create solutions to address it, plan and execute the implementation Expert knowledge in quantitative methods for business, advanced data science and ML Familiarity with Agile, experience with Agile is a plus Experience in practical data processing working with Large scale datasets and Big Data environment, data mining, text mining and information retrieval Experience across broad range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python, R) Proficiency in SQL and Python or R required. Ability to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner at all levels Experience of leading teams with a proven track record of being driving value for the business; Financial services background preferred, but not required 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 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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs. Equal Opportunity Employer/Disability/VeteransData Scientist Lead - MANAGING MY CHASE RELATIONSHIP 1

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