Andersen Institute Pre-doctoral Research Assistants

Andersen•Washington, DC

3d•Onsite

About The Position

The Andersen Institute for Economics and Finance is seeking two pre-doctoral research assistants to contribute to its mission of shaping discussions on pressing global economic and financial issues. These roles will focus on projects related to technological change, climate transitions, geopolitical fragmentation, and public debt. The Institute aims to foster intellectual leadership, influence public discourse, and provide strategic direction to business decision-makers. Two specific positions are available: Applied Microeconomics, focusing on AI's impact, firm behavior, labor markets, and policy evaluation using micro datasets; and Macro Finance, examining macro-financial issues with an emphasis on digital finance, global asset markets, and fiscal/monetary policies. Research assistants will work closely with PhD economists, actively engage in the research process, and receive mentorship and career guidance. This is a full-time, two-year appointment designed for candidates intending to pursue PhD programs in economics, finance, or related fields.

Requirements

Bachelor’s or Master’s degree in economics, finance, statistics, mathematics, data science, computer science, or a related field, with demonstrated coursework in economics
Strong background in econometrics and quantitative methods
Proficiency in at least one statistical programming language (Stata, R, Python, or MATLAB), with the ability to write efficient, well-documented, and reproducible code
Experience working with large and complex datasets
Some experience working with LLM tools for research
Currently authorized to work in the United States on a full-time basis upon hire
Will not require sponsorship for employment visa status now or in the future

Nice To Haves

Strong analytical and problem-solving skills
Ability to manage multiple tasks and meet deadlines
Strong written and verbal communication skills
Demonstrated interest in pursuing a PhD in economics, finance, or a related field

Responsibilities

Collection, cleaning, and construction of large-scale datasets
Econometric analysis using modern empirical methods
Coding models and simulations
Preparation of research outputs, including figures, tables, presentations, and their accompanying descriptions
Producing literature surveys
Developing and deploying LLM tools across the whole research production process
Work closely with PhD economists and engage actively in the research process