Application Deadline: April 15th
Part-time role; seeking current students
Weiss Asset Management is seeking Research Assistants to work directly with senior investment professionals on various projects including, but not limited to, the following:
- Reading and summarizing financial news and documents
- Highlighting economically significant portions of documents
- Searching for primary source documents to be used for investment analysis.
- Conducting cost benefit analysis of research vendors
- Investigating trends and investments of competitors in the hedge fund space.
- Facilitating the record-keeping of investment processes.
Successful candidates are creative problem-solvers and self-starters who have the proven ability to produce results. Candidates from all academic backgrounds are encouraged to apply. Attention to detail, strong interpersonal and writing skills, quantitative reasoning ability, and a rigorous work ethic are prerequisites. Finance experience is not required.
To apply, please send an e-mail to firstname.lastname@example.org with the subject, “[Your Name], Research Assistant” in the subject line. Include your transcript and resume with GPA’s and standardized test scores (SAT, ACT, GRE, etc.). Applications will be accepted on a rolling basis.
About the company:
Weiss Asset Management develops proprietary value-based and quantitative strategies to manage approximately $2 billion globally. Members of our team have advanced training in economics, computer science, physics, law, and mathematics, but we welcome truly exceptional candidates from all backgrounds. Our approach to problems is cerebral and analytically rigorous as we continually review our results in light of new data and insights. Collegial in nature, the culture at Weiss fosters cutting-edge academic and industry research. Finance experience is not a prerequisite, but candidates should have the drive and ability to acquire the skills necessary to perform at the highest level. All employees must adhere to the highest ethical standards. WAM does not discriminate on the basis of race, gender, color, national origin, ancestry, pregnancy, religion, age, disability, sexual orientation, gender identity, genetic information or other characteristic protected by law.