Applied Researcher - Forecasting

Company: Hispanic Alliance for Career Enhancement
Location: Boston
Posted on: May 7, 2025

Job Description:

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 SummaryApplied Researcher - Forecasting. 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.Key Responsibilities

• Lead the team's forecasting research agenda and oversee modeling efforts across multiple forecasting projects.
• Develop models across the entire pipeline - from data ingestion and feature engineering to model validation and communicating the results to key stakeholders.
• Build, backtest, validate, and monitor forecasting models.
• Apply cutting-edge statistical and machine learning tools to uncover patterns in large data sets, helping prototype and develop data products.
• Guide usage of forecasting models and of scientific best practices across the team.
• Partner with data scientists and engineers to deploy models to production.
• Continuously keep up on the sectoral trends, research methodologies, and experiment with new approaches.
• Participate in every stage of research projects from briefing to ideation, to content development to draft/prototyping, testing, feedback collection and finalization.About You
• Creative & passionate about research, economics, data, technology, and its applications, with an entrepreneurial mindset.
• Deep expertise in one or more languages like Python, R.
• Demonstrated success in modeling with big data and experience with tools such as Spark, Hadoop, Hive is strongly preferred.
• Experience in time series analysis and at least one of the following: Machine learning (supervised and unsupervised), NLP, and text analysis on economic and financial data sets.
• Forecasting experience of at least 2 years, ideally in a tech or financial setting.
• Ph.D. or Master's in a quantitative field.
• Previous client facing experience is a plus.
• Excellent at managing multiple projects and staying calm under pressure.Corporate Security ResponsibilityAll 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.
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role.Pay RangesArlington, Virginia: $137,000 - $218,000 USDBoston, Massachusetts: $137,000 - $219,000 USDChicago, Illinois: $119,000 - $190,000 USDPurchase, New York: $137,000 - $219,000 USDAbout the CompanyTransforming the way we live. Electronic payments have the ability to create a world with greater opportunities for all. To take us beyond borders, to new markets. Beyond mere moments, to meaningful experiences. That's the power of a World Beyond Cash. And that's Priceless.
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Keywords: Hispanic Alliance for Career Enhancement, Cambridge , Applied Researcher - Forecasting, Other , Boston, Massachusetts