Our client, a Boston-based fundamentally driven systematic investment manager with more than 40 billion in managed assets, is seeking a Quant Researcher to join the firm. The company takes a bottom-up approach to research and security selection and distils its findings into systematic processes that are applied across regions, styles, and capitalizations. It offers long only and alternative investment strategies that invest in both equity and credit markets.
The firm has capabilities in systematic responsible investing, offering dedicated quantitative strategies and incorporating proprietary ESG and Climate alpha signals across a diverse range of strategies.
The Role:
Develop and improve quantitative investment strategies in financial markets within the Strategic Alpha Research team. Support all strategies from alpha generation through to trade execution and implementation and work closely with other team members to create new and support existing strategies by identifying new investment ideas or innovative data sources; gathering and refining complex data for modeling; coding and performing statistical analysis to build and refine models; and interpreting, presenting, and implementing the results. You will also conduct research on various implementation aspects of investment strategies such as trading cost models, risk models, optimization, and portfolio construction.
In order to qualify:
- Passion in investment research with strong intuition and the ability to think-out-of-the-box
- Strong record of original research and demonstrated problem solving ability.
- Excellent quantitative skills from training in econometrics or statistics, and extensive experience in utilizing those skills in empirical research.
- Strong programming skills analyzing large and complex data with statistical tools (Python preferred)
- Ability to communicate complex ideas clearly.
- Prior experience in the investment field is a plus but not required
