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求人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.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Mastercardについて

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

従業員数

Purchase

本社所在地

$360B

企業価値

レビュー

3.6

10件のレビュー

ワークライフバランス

4.1

報酬

3.4

企業文化

4.0

キャリア

2.3

経営陣

3.2

65%

友人に勧める

良い点

Good benefits and compensation

Collaborative environment and great colleagues

Supportive work-life balance

改善点

Limited career advancement opportunities

Management and leadership issues

Heavy workload and stress

給与レンジ

51件のデータ

L5

L6

L7

L9

Mid/L4

Director

L5 ·

0件のレポート

$231,000

年収総額

基本給

-

ストック

-

ボーナス

-

$196,350

$265,650

面接体験

7件の面接

難易度

3.3

/ 5

期間

14-28週間

内定率

29%

体験

ポジティブ 0%

普通 86%

ネガティブ 14%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience