QPS Research Associate Internship Program 2024 New York

Barclays Quantitative Portfolio Research Internship Description:

We are looking for a PhD student in finance or economics to intern with our team in New York focusing on quantitative portfolio analysis across asset classes. The candidate will be helping in developing one or more of the 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.

The Quantitative Portfolio Strategy group

The group is a unique quantitative research team that has stayed together on Wall Street for over 20 years with minimal turnover. Over a number of years the group was rated #1 in its category by Institutional Investor research survey of investment management firms.

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. 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 4 books: “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.  (Japanese edition, Toyo Keizai, 2010).

Requirements:

·PhD student in Finance, Economics or a related field with 1-2 years left to graduation

·Ability to conduct empirical studies.

·Empirical research experience including developing security selection and/or sector timing models – strongly preferred. Familiarity with Fixed Income a plus.

·Strong quantitative skills (statistics, linear algebra). Strong econometric knowledge including time-series analysis and various cross-sectional techniques. Knowledge of machine learning and textual analysis techniques - a plus.

·Excellent verbal and written presentation skills. Strong creativity.

·Programming self-sufficiency (Matlab / Python preferred)

·Familiarity with standard financial markets & databases such as Compustat, CRSP & Factset a plus

Salary / Rate Minimum: $140,000

Salary / Rate Maximum: $140,000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any another type of compensation or benefits that may be available.