Quantitative Analyst (Macro Finance)
The Analyst will support both the expansion of the Multi-Asset Division’s responsibilities into new asset classes and strategies and have responsibilities in analyzing traditional asset allocation strategies. It is based in a unique, and diverse, Quantitative Research Group at T Rowe Price, where many of the individuals come from a variety of backgrounds. By working in this group, the candidate would examine and make investment recommendations on the basis of solid analysis.
Specifically, this position would help provide insights on the relationships between asset markets and economic and market fundamentals. This would require a global perspective, underpinned by strong quantitative skills to create, test, and validate views developed by the team. Furthermore, the individual should have strong skills at managing an individual, self-directed research program, as many of the questions that the Research Group seeks to answer do not have a settled answer.
Some examples of areas that this team would tackle include:
• Examining the role of macro factors in driving asset market over - or under - performance;
• Uncovering the links between asset risk premia and current economic conditions, and the opportunities that are created through a changing economic environment;
• Assessing of whether what’s priced into markets is consistent across asset classes, including by creating or calculating metrics used in the macro-financial literature; and
• Drawing on a variety of research from providers, from both quantitative and qualitative sources, to help inform investors across the firm (such as the role of momentum in cross-asset returns or the link between exchange rates and equity market returns).
The ideal candidate would have:
• A Ph.D. in a quantitative discipline, most likely in economics or finance, with a strong graduate level foundation in either:
-The intersection of macro analysis and investment management/science, or
-The application of finance theory and analysis asset class level pricing and investment topics.
• A strong foundation in applied empirical analysis (statistics, econometrics, data science);
• 2-3 years of experience in either a buy-side or sell-side financial firm, or 5 years of experience at a top policy institution (ECB, Federal Reserve, or other central bank—or the International Monetary Fund);
• Background in analyzing one or more international markets (equity, fixed income, or currency);
• Strong programming skills in R, Matlab, or Python, with some comfort in SQL; and
• An ability to work in a thoughtful, collaborative team environment and able to communicate effectively with bright colleagues (but who are non-specialists).
Please reference the AFA website in your cover letter.