Data Science Manager - Card Data Analytics at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics, AI, SQL, Python, R, SAS, Visualization, Problem-Solving, Communication, Presentation, Market Insights, Team Management, Competitive Intelligence, Talent Development, Statistical Analysis

Industry

Financial Services

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

Responsibilities

Lead analytics and AI initiatives while partnering with stakeholders to deliver impactful analytics. Oversee the development and execution of analytics initiatives and provide strategic insights to support growth across the Card business.