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职位Mastercard

Senior Analyst, Economics & Data Science

Mastercard

Senior Analyst, Economics & Data Science

Mastercard

Singapore

·

On-site

·

Full-time

·

3d ago

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.

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关于Mastercard

Mastercard

A 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

L5

L6

L7

L9

Mid/L4

Director

L5 ·

0份报告

$231,000

年薪总额

基本工资

-

股票

-

奖金

-

$196,350

$265,650

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