Job Description

Position:

Client is seeking an intermediate-level Quantitative Analyst for its Fixed Income Research team. The analyst will be a part of the team responsible for developing investment strategies, creating proprietary tools and solutions to improve investment decision-making process, engaging with various teams for thematic researches and writing papers for publication. While the analyst will work in a collaborative environment, s/he is expected to make individual contributions and potentially lead a portion of research independently. As the team focus on delivering implementable solutions, the position may benefit from a level of market knowledge and attention to details. The ideal candidate has a minimum of 3 years of investment experience and demonstrated quantitative skills.

Requirements:

- A Bachelor's degree is required; advanced degree (MBA, MA, or MS) or CFA is preferred

- At least 3 years of investment experience (either in research or portfolio management) is required, preferably with the focus on one of the following areas: active security-selection, smart beta/risk premia research (including ESG as factors), portfolio construction and optimization. Research experience can be in either an academic or industry setting.

- Strong quantitative and programming skills are required. Knowledge of statistical packages (preferably R or Python) and intermediate level SQL is required. Experience dealing with large data sets is preferred.

- Familiarity with front-office tools such as FactSet, Bloomberg, etc. is highly recommended.

- Good communications skills and strong process, organizational, time and project management skills are necessary.

- A desire to develop creative and innovative solutions is highly recommended.