Andersen Institute Pre-doctoral Research Assistants

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The Andersen Institute for Economics and Finance is seeking two pre-doctoral research assistants. The Institute’s mission is to shape discussions on the most pressing global economic and financial issues facing businesses and governments today. These include but are not limited to: technological change and artificial intelligence impact on the economy, climate and energy transitions, geopolitical fragmentation, and public debt and demographic changes.

By delivering insights on key global trends, the Institute aims to foster intellectual leadership, influence public discourse, and provide strategic direction to business decision-makers to help navigate a complex global economy.

The Institute is looking to hire for two positions:

• Applied Microeconomics: Projects examining the impact of AI on the economy, firm behavior, labor markets, corporate finance, and policy-evaluation using large-scale micro datasets.
• Macro Finance: Projects examining macro-financial issues with a focus on digital finance, global asset markets, and fiscal and monetary policies.

Responsibilities include:

• 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

Research assistants will work closely with PhD economists and are expected to engage actively in the research process.

The position offers a research-focused environment, along with mentorship and career guidance from Institute economists.

The position is a full-time, two-year appointment intended for candidates planning to apply to PhD programs in economics, finance, or related disciplines.

Basic Qualifications:

• 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

Preferred Qualifications:

• 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

Applicants should apply to only one position and clearly indicate their position of interest in the cover letter.  Please provide the following documents when applying:

• Cover letter
• Curriculum vitae (CV)
• At least two letters of reference
• Graduate and undergraduate transcripts (unofficial transcripts are acceptable)

Compensation and Benefits

Our firm offers a competitive base salary and comprehensive benefits package designed to support the well-being, growth, and long-term success of our people. We are committed to recognizing individual contributions and providing resources that enable our employees to thrive both personally and professionally.

Benefits: Employees (and their families) are eligible for medical, dental, vision, and basic life insurance coverage. Employees may enroll in the firm’s 401(k) plan upon hire. We offer 160 hours of paid time off annually, along with twelve paid holidays each calendar year. For a full listing of benefit offerings, please visit https://www.andersen.com/careers.  

Applicants must be currently authorized to work in the United States on a full-time basis upon hire. Andersen will not consider candidates for this position who require sponsorship for employment visa status now or in the future (e.g., H-1B status).

Andersen Tax is an equal opportunity employer committed to fostering an inclusive workplace. We evaluate all applicants and employees without regard to race, color, religion, national origin, ancestry, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. All qualified applicants, including those with criminal histories, will be considered in a manner consistent with applicable law. We provide reasonable accommodations to qualified individuals with disabilities as required by law.

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