Join us at Barclays as a Cross-Asset Quantitative Researcher in the Quantitative Portfolio Strategy Group. The group is a unique quantitative research team that has operated for over 20 years with low turnover. In recent years, it was ranked #1 in its category by Institutional Investor research survey of investment management firms. In this role, you will be involved in developing quantitative signals, asset allocation models, cross-asset valuation, hedging and portfolio construction. The work will include empirical analysis using both market data and non-traditional data sources and innovative techniques. In addition to being an active researcher, you will be expected to take part in publishing and actively marketing your work to clients as well as to interact with sales, trading desks and other research groups.
The group advises the largest institutional investors around the globe on quantitative aspects of portfolio management across all asset classes on a one-on-one basis. Also work on custom projects to help clients with asset allocation, portfolio construction, evaluation of investment constraints, beta replication, alpha generation and risk management utilizing empirical studies and developing models.
Team analysts frequently publish in leading industry journals - Journal of Portfolio Management, Journal of Fixed Income, Journal of Alternative Investments and have also published 5 books: "Measuring ESG Effects in Systematic Investing" (Wiley, 2024); "Systematic Investing in Credit", Wiley 2021; "A Decade of Duration Times Spread (DTS)", Barclays 2016, "Quantitative Credit Portfolio Management", Wiley Financial, Dec 2011 and "Quantitative Management of Bond Portfolios", Princeton University Press, 2007.
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