3+ years of experience in quantitative research or portfolio management, with direct multi-asset experience being a plus. Other strong analytical/modelling backgrounds would also be considered
Solid understanding of economics, statistical methods, capital markets, portfolio construction, and asset allocation theory. Graduate degree in a technical field is a plus
Strong coding experience in Python (needed), Matlab/SQL (plus). Experience working with git
Follow market and economic developments and understand their impact on portfolios and client outcomes
Ability to communicate clearly to internal and external audiences across levels of seniority
Ability to multi-task across assignments while producing high-quality work in a fast-paced environment
Responsibilities
Work with clients, sales partners, and product strategists to understand client needs and preferences
Work with researchers and senior portfolio managers to design and deploy retirement solutions that align with requirements and construct analytics to help position pros and cons of investment decisions
Work with trading, legal and operational partners to implement portfolios as needed
Assist senior PMs with the design, implementation, testing and refinement of changes to our process and codebase
Assist with the implementation, review, and processing of our portfolio rebalances
Collaborate with researchers and conduct some independent research on topics such as lifecycle investing, asset class deep dives, and multi-asset portfolio construction
Communicate research and solutions effectively to internal and external stakeholders
Engage in statistical programming to support the development of research and PM codebase
Support the development of new scalable and automated processes in partnership with software developers