Jobs

    Quantitative Research Analyst - New York, United States - Barclays

    Barclays
    Barclays New York, United States

    Found in: Lensa US 4 C2 - 23 hours ago

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    Description

    Quantitative Research Analyst
    New York

    This role is regulated by FINRA.

    As a Barclays Quantitative Research Analyst, you will be involved in and responsible for 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 a researcher, you will take part in publishing and marketing the work to clients as well as collaborating with sales, trading desks and other research groups.

    Salary / Rate Minimum: $125,000

    Salary / Rate Maximum: $175,000

    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.

    Barclays is one of the world's largest and most respected financial institutions, established in 1690, with a legacy of success, quality, and innovation. We've helped millions of individuals and businesses thrive, creating financial and digital solutions that the world now takes for granted. An important and growing presence in the USA, we offer careers providing endless opportunity.

    At Barclays, we offer a hybrid working experience that blends the positives of working alongside colleagues at our onsite locations, together with working from home. We have a structured approach where colleagues work at an onsite location on fixed, 'anchor', days of the week, for a minimum of two days a week or more, as set by the business area (or nearest equivalent if working part-time hours). Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that as we continue to embed our hybrid working environment, we remain in a test and learn phase, which means that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business.

    What will you be doing?


    • Being responsible for developing innovative quantitative signals and portfolio strategies across FI and equities

    • Developing asset allocation models, cross-asset valuation, hedging and portfolio construction

    • Advising the largest institutional investors around the globe on quantitative aspects of portfolio management across all asset classes on a one-on-one basis

    • Working on custom projects to help clients with evaluation of investment constraints, beta replication, alpha generation and risk management

    • Conducting empirical analysis using both market data and non-traditional data sources and innovative techniques

    • Taking part in publishing and marketing the work to clients as well as collaborating with sales, trading desks and other research groups

    What we're looking for:


    • A PhD in Finance, Economics, or a closely related field with academic or job market experience in quantitative research

    • Econometric understanding including time-series analysis/various cross-sectional techniques with understanding of machine learning & textual analysis techniques

    • Programming self-sufficiency (Python preferred) and the ability to clearly formulate and conduct empirical studies

    • Excellent verbal and written presentation skills with creativity and ability to work independently or in a team, a must

    Skills that will help you in the role:


    • Familiarity with and understanding of standard financial markets and databases such as Compustat, CRSP, and Factset a plus

    • Familiarity with Fixed Income is a plus

    Where will you be working?

    You will be working at our Americas Headquarters at 745 Seventh Avenue. This 32-story office tower is located in Times Square in the heart of Manhattan and features a cafeteria, fitness center and state-of-the-art LED signage on the facade of the building.


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