Manager, Economic Modeling
About The Position
The Mastercard Economics Institute (MEI) is an economics lab that drives economic thought leadership in support of Mastercard's efforts to build a more inclusive and sustainable digital economy. The Economics Institute was launched in 2020 to analyze macroeconomic 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, data scientists and business strategists 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 our product partners. We are looking for a Causal Inference Economist to join the Economic Modeling team at the Mastercard Economics Institute. The Economic Modeling team is at the forefront of innovations to our Economics products and insights. In this role you will deliver insights using rich datasets, apply and develop econometric and machine learning tools, and work with both internal and external stakeholders at leading companies across different sectors.
Requirements
- Ph.D. or Master’s in Economics, Econometrics, Marketing, Finance, Public Policy or a closely related quantitative field
- Multiple years of relevant experience in a technically focused environment, although exceptional new PhDs may also be considered
- Proficiency in Python or R, and working knowledge of SQL
- Strong training and experience applying quasi-experimental methods (difference-in-differences, synthetic control, RDD, IV, etc)
- Experience with causal machine-learning methods (double/debiased ML, meta learners, causal forests) and experimentation in a business setting
- Proficient in using AI tools for coding, research, documentation, and rapid prototyping, with appropriate validation and data-governance judgment
- Ability to communicate technical work clearly to non-specialists, in writing and in client presentations
Responsibilities
- Translate broad business questions into well-defined causal effects, identification strategies, and empirical designs
- Develop causal analyses that help clients and internal teams understand the impacts of events, business decisions, market changes, and external shocks
- Lead projects over their full lifecycle – from data ingestion and feature engineering to model validation and communicating the results to key stakeholders
- Guide usage of causal inference tools and of scientific best practices across the team
- Prototype causal inference methods and help turn them into scalable, productized analytics
- Stay current with research methods and experiment with new approaches
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- 16 weeks of new parent leave
- up to 20 days of bereavement leave
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time
- 5 personal days
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
