Senior Research Specialist

Princeton University’s Bendheim Center for Finance (BCF) is seeking a Senior Research Specialist. BCF is at the forefront of research and education in Money and Finance, with the mission to serve our global society. As an interdisciplinary center, it draws its faculty from various departments across Princeton’s campus. New technology has profound implications on the role of money and the international financial architecture. BCF aspires to be part of this process by developing and applying novel research tools and methods. BCF’s educational programs equip students with cutting-edge insights and tools. Finally, through its public and policy outreach, BCF aims to bring an important contribution to the broader public and policy debate on macroeconomics, money, and finance.

The successful candidate will work under the general direction of Professors Markus Brunnermeier and Jonathan Payne and will assist a group of center faculty members in various aspects of their research.

The research projects involve questions relating to financial, monetary and macroeconomics.

The position will include a variety of tasks that provide good preparation for graduate school, such as conducting numerical analysis, solving models, managing data sets, statistical analysis, economic analysis, and editing research papers.

In addition to working closely with faculty, senior research specialists participate in the vibrant academic life of Princeton University, including auditing classes, attending seminars, and interacting with undergraduate and graduate students and with post-doc fellows. The position is thus ideal for exceptional graduating seniors with a strong interest in pursuing a Ph.D. in economics after acquiring one or two years of research experience. Following the completion of this position, most research specialist have gone on to top Ph.D. programs in economics and finance.

Essential:

• Minimum of a BA/BS degree in Economics, Math, Engineering, Physics or Computer Science and excellent analytical, numerical, empirical, research and writing skills.
• Experience in numerical software packages and languages like Matlab, Python and Julia.
• Knowledge in statistics and econometrics, including knowledge of statistical programming using STATA.

Preferred

• Candidates with research experience are strongly preferred, especially those with experience in numerical modeling, statistics, and econometrics.
• Knowledge in stochastic calculus, differential equations, standard internet tools, HTML, and social science data sources and publishing software is desirable.

Upon request, candidates should be prepared to submit transcripts and writing samples.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS