Senior Quant Analyst - Boston, United States - The Ceres Group

    Default job background
    Description

    Job Title:
    Senior Quant Analyst - Lead

    Job Function:
    Quant Analyst


    Location:
    Boston, MA


    Industry:
    Asset Management


    Job Number:

    JO
    Work with Portfolio Managers and Researchers on model and signal analytics for our multi-asset suite of strategies. Take ownership of production systems, continue to design, build and enhance systems. Must have robust coding experience, financial domain knowledge and prior experience with financial data sets. Python, SQL advanced degree and prior experience in investment management required.

    We are looking for a senior quantitative developer to join our Multi-Asset Class team, who will own all aspects of quantitative model development for the team – including design, implementation, visualization and maintenance.

    Our Multi Asset Class team is a new and growing business unit and focuses on all major global asset classes including:
    Equities, Fixed Income, Currencies, Commodities and Options/Volatility.

    As a member of the investment team, this person will closely collaborate with PMs and quantitative researchers and will have opportunities to contribute to research and investment decisions.


    Responsibilities:
    Responsible for all aspects of quantitative model development for the MACS TeamWork with PMs and researchers to design and implement sophisticated quantitative multi-asset models Design and implement state of the art model visualization capabilities Maintain all aspects of the models including daily production jobsBuild systems to gather, cleanse and integrate data from various sourcesApply advanced algorithms from the field of quantitative finance and computational science to assist in the research of macroeconomic and financial variablesContribute to the MACS research agenda and investment decisionsQualifications:Minimum 7+ years of experience as a quantitative developer for an investment firmMaster's degree with an outstanding academic record in a technical field such as mathematics, science or engineering; PhD degree preferredHands on development experience with Python (Pandas, Numpy) for modeling/analytical work and SQL for data access and architecture; JavaScript experience for visualization a plusVery strong mathematical skills; experience with Bayesian estimation and optimization is a plusProficiency in multi-asset class data series and operating data delivery platformsSuperior software, database design and programming skills to move quickly from concept to solutionWorld-class analytic skills and the ability to clearly articulate approach, process and results in verbal, graphical and written formCreativity, enthusiasm, collegiality and the ability to excel in a self-starting environmentDrive and humility to deliver on high value projects and roll up your sleeves attitude
    #LI-MS1