Schonfeld PhD student in economics to join Schonfeld's Central Research team focusing on macro markets. Build quantitative models and analyze large datasets to generate actionable macroeconomic insights for portfolio managers.
Responsibilities
We’re seeking a highly motivated PhD student in economics to join our Central Research team in the Discretionary Macro and Fixed Income Division in New York. You’ll work on live research questions, not academic exercises, and your output will feed directly into portfolio managers’ investment processes. This role is ideal for someone who thrives in a fast-paced environment and wants to deepen their understanding of macro markets.
As part of a close-knit team, you’ll build tools and analyze large datasets to generate actionable macroeconomic insights for portfolio managers. Your work may include:
Building quantitative models covering growth, inflation, labor markets, and monetary and fiscal policy across developed and emerging markets
Conducting empirical research on macro themes such as policy transmission, term premia, and cross-country spillovers
Developing and maintaining data and analytical tools that the broader research team can use
Communicating findings clearly to researchers and portfolio managers, so your work informs live investment decisions
What You’ll Bring
Currently pursuing a PhD in Economics, Financial Economics, or a related quantitative field
Prior research assistantship, internship, or work experience in economics, finance, or policy is a plus but not required
Strong grounding in macroeconomic theory and applied econometrics (time series, panel data, causal inference)
Proficient in at least one statistical/programming language (Python, R, MATLAB)
A genuine interest in financial markets and how macro research connects to investment decisions
Qualification
Currently pursuing a PhD in EconomicsAbility to work in a fast-pacedPrior research assistantship
Required
Currently pursuing a PhD in Economics, Financial Economics, or a related quantitative field
Strong grounding in macroeconomic theory and applied econometrics (time series, panel data, causal inference)
Proficient in at least one statistical/programming language (Python, R, MATLAB)
Strong attention to detail and organizational skills
Ability to work in a fast-paced, deadline-driven environment
Strong problem-solving and communication skills
Willingness to learn and take ownership of responsibilities
Preferred
Prior research assistantship, internship, or work experience in economics, finance, or policy
