Pre-Doctoral Research Associate
Yale University offers exciting opportunities for achievement and growth in New Haven, Connecticut. Conveniently located between Boston and New York, New Haven is the creative capital of Connecticut with cultural resources that include three major museums, a critically-acclaimed repertory theater, state-of-the-art concert hall, and world-renowned schools of Architecture, Art, Drama, and Music.
The International Center for Finance (ICF) at Yale School of Management invites applications for full time Pre-Doctoral Research Associate in Finance positions. The ICF brings together faculty, students and practitioners to foster leadership in the understanding, practice and management of finance from multiple perspectives. Its goal is to support innovative research and educational activities within the context of Yale School of Management’s broader perspective of business for the benefit of society.
This program provides an opportunity to gain experience in academic research before applying to a PhD program or other graduate study; and is designed for professionals with an undergraduate degree in finance, economics, statistics, mathematics, or computer science.
Research Associates (RA) will work closely with School of Management finance faculty assisting them in their research projects in various stages from conception through publication. The work may include, but is not limited to: quantitative and qualitative research and analysis, and coordination and management of information and data.
Required Education and Experience: Applicants must have completed a Bachelors or Master’s degree by June 2017 and have strong quantitative and programming skills with regression analysis. Candidates with research experience in STATA, SAS, Python, R, or Matlab are strongly preferred.
- Ability to manipulate large amounts of data and have advanced reasoning and analytical skills.
- Demonstrated time management skills.
- Strong verbal and written communication skills.
- Demonstrated ability with data collection and cleaning.
- Demonstrated understanding of research design and statistical skills.
- Preferred Education, Experience and Skills: Research experience in STATA, SAS, Python, R, or Matlab are strongly preferred. Demonstrated understanding of research design and statistical skills. Global orientation; experience working across countries and regions, and fluency in more than one language.
Application: For more information and immediate consideration, please apply online at http://bit.ly/2yksyuF. Please be sure to reference this website when applying for this position.
We invite you to discover the excitement, diversity, rewards and excellence of a career at Yale University. One of the country's great workplaces, Yale University offers exciting opportunities for meaningful accomplishment and true growth. Our benefits package is among the best anywhere, with a wide variety of insurance choices, liberal paid time off, fantastic family and educational benefits, a variety of retirement benefits, extensive recreational facilities, and much more.
Yale University considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression.