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Mastercard

Consumer Credit Analytics – Global Product Manager - Specialist

Mastercard is hiring a Consumer Credit Analytics – Global Product Manager - Specialist in Gurugram, India. Level rates it ; you can apply on Mastercard.

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  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Mastercard has 1,000+ other open roles on Level.

AI in this role

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Consumer Credit Analytics – Global Product Manager - Specialist

Overview
The Advanced Analytics group within Business & Market Insights drives Enterprise & Credit Risk solutions that are globally scalable and provide value to the various parts of the credit lifecycle value chain.
Developing relevant solutions that solve our customer’s Enterprise & Credit Risk problems while leveraging Mastercard assets is a key differentiator to grow revenue for our retail and commercial clients. To this end, developing and managing a suite of product solutions through internal and external partnerships, creative constructs, solid frameworks, and executable roadmaps are crucial drivers for commercialization and business impact. Have you ever used your MA card and it was declined for an unknown reason? We are working to improve that customer experience on a global scale.
As part of this role, you will work closely w/ Global & Regional product teams to ensure a seamless go-to-market

Role:
• Collaborate and partner closely with the Consumer Credit Analytics team to support global product development and GTM efforts.
• Leverage Mastercard data to quickly identify product performance challenges, creating proactive plans to drive usage and revenues. Use data-driven insights to ensure our customer are receiving the value from our services.
• Demonstrate a commitment to continuous learning by leveraging the learning & development curriculum to augment existing knowledge, skills and experiences
• Leverage the Mastercard product management framework to manage the delivery of ongoing innovation and enhancements to focus Products
All about you:
•Exhibit ownership, agility, and a strong entrepreneurial mindset, taking initiative and driving results in a fast-paced, evolving market.
•Experience conducting data analysis, understanding MA Data and navigating matrixed orgranizaiton
•Have a problem solver mindset with the ability to investigate potential solutions and drive outcomes
•Demonstrated strong time management skills, effectively prioritizing multiple tasks and consistently meeting deadlines in a fast-paced environment.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.




How we rate this

Consumer Credit Analytics – Global Product Manager - Specialist at Mastercard rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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