• Equity Quant

    Job ID
    Jersey City
  • What's the role?

    We're looking to hire a Quantitative Research Analyst to join our Equities franchise, reporting to the director of Equities Quantitative Research. The group is responsible for applied quantitative analytics deployed across the full variety of equity strategies at the firm, building and enhancing the toolkit in collaboration with Portfolio Managers and Fundamental Analysts.


    • Apply advanced portfolio analytics to existing and proposed equity strategies

    • Alpha factor research, construction, backtesting, and analysis.
    • Factor risk modeling and interpretation
    • Trade scheduling
    • Equity valuation modeling
    • Work with technologists to maintain and deploy analytics into production platforms
    • Author research memos, train users, and present ideas to the wider investments team


    • PhD in a highly quantitative field
    • At least 5+ years of relevant work experience required (open to both sell-side and buy-side backgrounds)
    • Knowledge of financial theory and command of the current literature around equity anomalies and risk premia, factor risk models, and equity valuation approaches.
    • Contact with modern financial data sets for historical quantitative analysis and the platforms that supply that data. Understanding/contact with the alternative data landscape is a plus.
    • Fluency in at least two relevant programming languages and key libraries (Python, C/C++, SAS, R, Matlab, SQL, NAG, numpy/pandas, etc.). Contact with Python is strongly preferred but not essential if the rest of the skill set demonstrates strong modern numerical programming competency.
    • Experience coding and implementing complex quantitative models in live practice.
    • Strong English language communication skills and a collaborative, team-oriented personality, including the ability to interact and collaborate with discretionary portfolio managers, fundamental analysts, and especially the other quantitative researchers on our team.



    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed