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, Econometrics

We are looking for an econometrician to join Mastercard’s Economics Institute’s data science and econometrics team. This individual will be critical to growing the institute’s ability to support and enhance revenue products like advisory services, disseminate content to our stakeholders, and quantitative research outputs. This client interfacing role provides the opportunity to work with leading companies across different industries and deliver insights using unique, rich, multi-faceted data sources & developing frontier level insights and methods.
We are looking for an individual who will:

• Develop and improve models across the entire pipeline – from data ingestion to statistical modeling, including macro scenarios, and communicating the results to key stakeholders
• Leverage Mastercard data to improve contemporaneous macro forecasting via nowcasting
• Improve variable selection and reduction techniques to identify high quality predictive variables
• Improve model estimation approaches and model back testing
• Identify patterns or anomalies in the datasets being explored, produce concise insights for the Economist to allow fast interpretation of results
• Research and integrate econometric and statistical models as needed in order to create insights and compelling visualizations of data trends to develop interactive dashboards/apps for client presentations
• Work closely with our customers, client services, economic advisory product and customer teams to translate client pain points/requirements into business and data specifications, clear data structure and eventually a usable data set/model/forecast/insights.
• Participate in every stage of a project from briefing to ideation, to content development to draft/prototyping, testing, feedback collection and finalization
• About you
• Creative & passionate about statistics/math, economics, data, technology, and its applications, with an entrepreneurial mindset open to new ideas
• A good foundation in different modeling approaches and demonstrated success in managing large models
• A demonstrated interest in different machine learning and statistics with the ability to communicate models in a non-technical manner
• Expertise in one or more of R, Python, Julia, MATLAB or similar languages;
• Interest/experience in some of the following: machine learning (supervised and unsupervised), NLP, time series analysis, and text analysis on economic and financial data sets
• Quantitative modeling experience 2-3 years, ideally in a tech, healthcare/financial or academic research field
• Good foundation in economics with an advanced degree in math/statistics/quantitative field
• Strong collaborator and independent thinker
• Previous client facing experience, proficient in synthesizing data to create insights, great storyteller
• Excellent at managing multiple projects and tight timelines with an ability to reprioritize as situation might require and staying calm under pressure
• Evidence of creativity/innovation/unorthodox thinking in data driven economics

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.