Data Science Manager - Card Data Analytics

Posted 5 Days Ago
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Bengaluru, Karnataka
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead analytics and AI initiatives in Card Data & Analytics, manage teams, and provide strategic insights for business growth.
Summary Generated by Built In
Job Description
We have an exciting opportunity for you to lead analytics and AI initiatives, drive career growth, and shape the future of Card Data & Analytics
As a Lead Data Scientist in Card Data & Analytics Competitive Intelligence and AI, you will partner with stakeholders to deliver impactful analytics, manage and develop teams, and provide strategic insights to support growth and innovation across the Card business
Job responsibilities
  • Establish partnerships with Card stakeholders to align and deliver the analytics roadmap for Competitive Intelligence and Gen AI initiatives
  • Apply advanced analytical techniques to answer high-priority business questions across the Card business
  • Lead teams of data scientists and analytics professionals, overseeing development and execution of analytics initiatives
  • Serve as a trusted advisor by recommending analytics best practices and methods to identify impactful opportunities
  • Identify and articulate market insights and competitor trends using multiple external data sets
  • Guide project teams in aggregating competitive intelligence data and synthesizing findings for stakeholders
  • Manage, develop, and retain talent while fostering an inclusive team environment

Required qualifications, capabilities, and skills
  • Bachelor's and Master's degree in a quantitative discipline such as Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance
  • Five years applied experience in analytics and leading teams of analysts
  • Five years experience with SQL and at least one analytical tool: Python, R, or SAS
  • Experience with visualization techniques for data analysis and presentation
  • Superior problem-solving, written, oral communication, and presentation skills with experience communicating effectively with all levels of management and partners

Preferred qualifications, capabilities, and skills
  • Experience in financial services, digital, or customer experience analytics
  • Hands-on experience with Python, SQL, and Tableau
  • Familiarity with AI and market intelligence

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Top Skills

Python
R
SAS
SQL
Tableau

What the Team is Saying

Nick S.
Lupe C.
Edwin T.
Dawn T.
Meng M.
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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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Typical time on-site: Flexible
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