Our client, a leading global asset manager, is looking for an Alternatives Research Analyst to join their Multi-Asset team in London. By pursuing optimal outcome solutions, the team specialises in the management of portfolios for large institutional clients, consisting of a broad range of asset classes including fixed income, equities, and alternatives based collaboratively on the analyses from different research teams. The role will focus on alternatives, with the primary purpose of providing research on the internal and third-party alternatives managers/strategies and making recommendations, but will also take the lead on helping the business expand its alternatives investment universe.
Responsibilities:
Lead the research process for alternatives strategy/fund managers making recommendations from the research to the multi-asset portfolio managers
Create robust research and manager selection framework
Thoroughly understand the portfolios of the multi-asset team with awareness of and delivery against their potential research requirements
Engagement with maintaining and updating model portfolios
Contribute to tactical asset allocation with insights from your research and provide recommendations and notes to support the portfolio managers
Ensure that sustainability is integrated into the research analysis
Coach and lead junior analysts in the team
Continually help to develop and improve automation and contribute to process improvements
Contribute the development of the research team’s output and aim to continually improve the quality by engaging with non-standard research work as appropriate
Requirements:
Undergraduate degree (min 2.1)
Additional qualifications (Masters, CFA or CAIA preferred)
Experience researching portfolio managers, preferably for the alternatives asset class
A strong understanding of quantitative finance and financial economics as they apply to portfolio construction
Exceptional qualitative analytical skills and numerical skills as they apply to market analyses
Demonstrated experience with process-driven research approach
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