招聘
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
Specialist, Product Management
Who is Mastercard?
We are the 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.
The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience.
Associate Consultant, Advisors
The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. We combine traditional management consulting with our rich data assets and in-house technology to provide our clients with powerful strategic insights and recommendations. Centered on data-driven technologies and innovation, these services include consulting, loyalty and marketing programs, test-and-learn business experimentation, and data-driven information and risk management services. While specializing in the payments industry, Mastercard Data & Services also works closely with major retailers, airlines, and other enterprises, leveraging data and insights garnered from within and beyond its network. We are looking for passionate and talented graduates, who share our vision for data-driven consulting, to join us and take a leading role in shaping the growth of our team.
As a Specialist, you will have the opportunity to actively contribute to client engagements across the regions and types of projects, such as consulting services, test & learn, value story and impact analysis, or building scalable advanced analytics solutions for Loyalty Product clients.
We recruit for and value the following core competencies:
- Passion: Actively seeks responsibility and takes pride in delivering the highest quality results and recommendations to our clients.
- Analytic Excellence: Demonstrates a strong aptitude for structured problem solving and quantitative skills.
- Project Management: Clear interest in project delivery with business clients, and intuition for the way that companies make decisions.
- Communication and Presence: Excellent written and verbal communication skills in client-facing situations, positioning Mastercard’s solutions as high value solutions in sales and delivery conversations.
- Teamwork: Willingness to work within small teams to produce outstanding deliverables, with a will to win attitude.
- Integrity: Commitment to Mastercard's values of honesty and integrity with a willingness to embrace and learn from our mistakes.
- Diverse Perspective: Brings a unique skillset or approach to the table in every client engagement or internal activity.
Qualifications:
- Undergraduate or master’s degree with 2+ years of experience in a data-driven consulting/analytics organization
- Expertise on one or more of SQL, Python, Big data / Hadoop (Pyspark / Scala Spark / SparkR), HQL, Hive, R
- Expertise on one or more data visualisation tools like Power
BI and Tableau:
- Experience with campaign insights, A/B testing, data-driven product development, machine learning models for segmentation, forecasting, regression etc preferred
- Exceptional analytical and quantitative problem-solving skills and ability to structure analyses to form data-driven solutions to ambiguous client challenges
- Exposure specifically in payments / retail banking / e Commerce / BFSI merchants / Loyalty / Marketing preferred
- Ability to communicate complex ideas effectively – both verbally and in writing – in English and the local office language(s)
- Demonstrated ability to build trust-based relationships with colleagues and clients
- Ability to multi-task in a fast-paced, deadline-driven environment
- Advanced Word, Excel, PowerPoint and data analytics skills
- Candidates must be eligible to work in the country of which they are applying for a position in, as well as eligible to apply for travel visas as required by travel needs.
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:
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Abide by Mastercard’s security policies and practices;
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Ensure the confidentiality and integrity of the information being accessed;
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Report any suspected information security violation or breach, and
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Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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关于Mastercard

Mastercard
PublicA financial network that processes payments between banks and cardholders
10,001+
员工数
Purchase
总部位置
$360B
企业估值
评价
3.6
10条评价
工作生活平衡
4.1
薪酬
3.4
企业文化
4.0
职业发展
2.3
管理层
3.2
65%
推荐给朋友
优点
Good benefits and compensation
Collaborative environment and great colleagues
Supportive work-life balance
缺点
Limited career advancement opportunities
Management and leadership issues
Heavy workload and stress
薪资范围
51个数据点
L4
L5
L6
L7
L8
Director
L4 ·
0份报告
$363,151
年薪总额
基本工资
-
股票
-
奖金
-
$308,678
$417,624
面试经验
7次面试
难度
3.3
/ 5
时长
14-28周
录用率
29%
体验
正面 0%
中性 86%
负面 14%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Behavioral Interview
5
Final Round/Super Day
6
Offer Decision
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
新闻动态
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