Our mission as a leading investment management firm is to help our clients achieve their long-term financial goals. We believe our associates are the key to this mission and we are always looking for talented individuals who share our commitment to our client’s success.
The ideal candidate would additionally bring some of the following:
- Several years of prior investing experience
- A Ph.D. in one of the disciplines listed above
- Prior experience in systematic, multi-asset risk or style premium investing
- Evidence of independent research in the are of multi asset style or risk premia
- Advanced proficiency in R and SQL
- Proficiency with the git version control system
- CFA certification
- Financial Power is an Equal Opportunity Employer
Specifically, this position would contribute to our asset class level factor investing program, focusing on so-called risk or style premia within and across asset classes. The strategy forms part of a suite of overlay strategies that are employed either as an enhancements to other multi asset solutions or on a standalone basis.
Some examples of areas that this individual would tackle include:
- Reviewing academic and practitioner research related to multi asset factors, as well as replicating key results
- Contributing to the broader research process by helping to define or refine, select, and implement investment signals from multi-asset factors
- Contributing to the broader investment process by helping to design and implement multi-asset portfolios based on factor signals, including operational responsibilities
- Given the collaborative nature and broad mandate of the team, selectively leading or contributing to other multi-asset research or systematic investing initiatives
Minimum requirements:
- A graduate degree in a quantitative discipline, either in economics or (quantitative) finance, or in the natural sciences or engineering
- A strong foundation in applied empirical analysis (experimental work in natural sciences, statistics, econometrics, data science)
- Strong programming skills and the ability to operate in R and SQL
- Some prior experience in capital markets and investment topics, either through work experience or educational background
- The ability to work effectively in a thoughtful, collaborative team environment
- Strong communication skills, being able to interface effectively with bright quantitative colleagues as well as non-technical audiences