Job title: Consultant, Advisors Client Services

Company: Mastercard

Job description: Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Job Title

Consultant, Advisors Client Services

Overview
Mastercard is a global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.
Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.
Loyalty Services organization has many key objectives such as Merchant offer sourcing, Improving quality of operations for external and internal customers and creating next gen platforms to deliver automated, scalable, self-service advertising solutions through an eco-system of distribution channels.

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?

Role
1. Work in the loyalty analytics team to provide custom, standard & scalable marketing solutions for Rewards, Benefits & Awareness and Card Linked & Travel Offers
2. Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
3. Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
4. Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
5. Influences a client’s strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems
6. Works closely with clients/internal stakeholders to understand their business needs and design business and technical solutions

All About You
1. Bachelor’s Degree in Engineering or in any other quantitative discipline with an emphasis on analytics, Masters / Advanced Degree in similar disciplines preferred
2. Previous financial services or consulting or econometric experience including data mining using large volumes of granular data to deliver analytical solutions
3. Self-driven, energetic, creative with ability to work in global teams & possess Excellent communication skills
4. Adaptable – Takes in stride and constantly attunes to the changing needs of a highly dynamic business
5. Curious – our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest tools, techniques and applications
6. Tenacious – self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
7. Relevant experience in statistical tools and programming environments like Python, R, SAS, SQL
8. Experience with BIG DATA platforms – Hadoop, Hive, Spark, GPU Clusters will be a plus
9. Ability to multi-task as well as work on multiple projects concurrently.

COVID-19 Considerations

We value the safety of each member of our community because we know we’re all in this together. In many locations, which may change over time, we’ve implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in some locations, only individuals who have been fully vaccinated will be permitted inside Mastercard offices until further notice.

In the US, Mastercard is a government contractor, which may legally require most Mastercard employees to be vaccinated unless a verified approved medical or religious exemption is granted. Further, we are currently making every effort towards having employees return to work in the office 2 days per week, if that makes sense for their team. Everyone must be vaccinated to enter Mastercard offices at this time. Therefore, we expect all candidates to be vaccinated or to be approved for a medical or religious accommodation prior to commencing work at Mastercard.

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.

Expected salary:

Location: Gurgaon, Haryana

Job date: Sat, 02 Jul 2022 23:37:32 GMT

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