Senior Economic Analyst, Europe Econometrics

Posted 2 Days Ago
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Bogotá, Distrito Capital
Hybrid
Mid level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
The role involves developing macroeconomic models, implementing forecasting techniques, designing predictive models, and collaborating with teams to deliver economic insights for clients and stakeholders.
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 Economic Analyst, Europe Econometrics
Overview• The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard's efforts to build a more inclusive and sustainable digital economy• MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers• The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentations, global thought leadership, media participation, and commercial work through the company's product suites
About the Role
We are looking for a senior economic analyst who will sit at the intersection of quantitative modeling, macroeconomic forecasting, and client-facing economic research. Supporting both internal stakeholders and external clients through rigorous data analysis, model development, and storytelling that translates complex economic signals into actionable insights. This individual will report to the Director, Senior Economist, Europe Econometrics, and will have the following responsibilities:• Develop, maintain, and improve macroeconomic models• Implement forecasting and nowcasting techniques using Mastercard proprietary data to enhance real-time economic insights.• Design and backtest predictive models using advanced statistical and machine learning techniques (e.g., time series, NLP, supervised/unsupervised learning).• Execute scenario planning and stress testing for macroeconomic conditions.• Lead data ingestion, transformation, and variable selection pipelines.• Collaborate with data engineers and analysts to ensure clean, structured, and scalable data environments.• Translate business needs into data specifications and modeling requirements.• Support client engagements through tailored economic insights and presentations.• Develop proprietary indices and diagnostics to assess macroeconomic and retail trends.• Contribute to MEI's thought leadership by drafting reports, dashboards, and visualizations for external stakeholders.• Work closely with economists, data scientists, and business stakeholders to align modeling outputs with strategic goals.
Participate in all project stages-from ideation to delivery-ensuring quality and relevance throughout.
All About You• Advanced degree in Economics, Statistics, Mathematics, or a related quantitative field.• 2-3 years experience in econometrics, data science, or applied economics-preferably in finance, tech, or geospatial domains.• Entrepreneurial, collaborative, and intellectually curious with a passion for economic research and storytelling.• Strong communicator, capable of translating technical insights into business narratives; adept at managing multiple priorities in a fast-paced environment.• Advanced R (required), Python, SQL; familiarity with JavaScript and visualization libraries is a plus.• Predictive modeling, logistic regression, survival analysis, decision trees, time series, clustering, and dimensionality reduction.• Tableau, Power BI, or similar tools for building dashboards and client-facing visuals.• Strong foundation in macroeconomic theory, econometric modeling, and statistical inference.
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

JavaScript
Power BI
Python
R
SQL
Tableau
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The Company
HQ: Purchase, NY
35,300 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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