Senior Analyst, Economics & Data Science

Posted Yesterday
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Singapore, SGP
Hybrid
Mid level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
The Senior Analyst will conduct economic analysis, develop econometric models, monitor macroeconomic trends, and provide insights using data science techniques.
Summary Generated by Built In
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
Senior Analyst, Economics & Data Science
Overview
The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by delivering differentiated economic thought leadership in support of the company's mission to build a more inclusive and sustainable digital economy. MEI combines anonymized and aggregated Mastercard network data with public and third-party datasets to generate actionable insights for customers, partners, and policymakers.
About the Role
The Senior Analyst, Economics & Data Science is a core analyst role with a strong emphasis on data, econometrics, and applied analytics. The role supports research, thought leadership, and client-facing engagements, sitting at the intersection of economics and data science.
Key Responsibilities
• Conduct applied economic and quantitative analysis using large-scale, high-frequency datasets, including Mastercard proprietary data.• Develop, maintain, and enhance analytical and econometric models across the full pipeline-from data ingestion and transformation to modeling and interpretation.• Support macroeconomic monitoring, forecasting, and nowcasting initiatives using econometric and data science techniques.• Design and back-test predictive models using time-series analysis, regression, and machine learning methods.• Identify patterns and anomalies in complex datasets and synthesize findings into concise insights.• Build reproducible workflows and contribute to dashboards and visualizations.• Collaborate with economists, data scientists, and business partners to translate analysis into clear narratives.• Contribute to MEI research outputs, briefings, and presentations across Asia Pacific.
All About You
• Advanced degree in Economics, Econometrics, Statistics, Data Science, Mathematics, or a related quantitative field.• 2-4+ years of experience in applied economics, econometrics, or data science.• Strong programming skills in Python and/or R; SQL required.• Solid foundation in econometric modeling and statistical inference; machine learning exposure preferred.• Experience with large or complex datasets; transaction or financial data experience is a plus.• Experience with data visualization tools such as Tableau or Power BI.• Strong communication skills and ability to translate technical analysis into actionable insights.• Ability to deliver results in ambiguity and tolerance for dynamic objectives are necessities, given our fast-moving, nimble corporate culture• Team focus and commitment to helping each other to be great, a core Mastercard value
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.

Top Skills

Machine Learning
Power BI
Python
R
SQL
Tableau

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The Company
HQ: Purchase, NY
38,800 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.

Typical time on-site: 3 days a week
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