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  • Description:

    Job Description

    Liquidnet is expanding its equity trading analytics offering and is seeking a quantitative analyst to play a key role in its expansion.  The ideal candidate will combine excellent academics, quantitative skills, and market understanding with a deeply practical approach to problem solving.

    Key Responsibilities

    • Conduct innovative quantitative/statistical research and modeling with an emphasis on informing optimal trading.
    • Develop quantitative indicators that identify short-term drivers of return and liquidity.
    • Validate existing and proposed trading analytics and recommend enhancements where appropriate.
    • Create business specifications and work with the development group to incorporate analytics into software applications.

    Qualifications

    • Advanced degree with a strong background in statistics, applied econometrics or related quantitative fields.
    • 3+ years’ experience performing hands-on statistical analysis on large equity-based datasets.
    • Proficient with one or more major programming languages (e.g. C++, Java, Python) and one or more major statistical packages (e.g. Matlab, R). 
    • Application of quantitative techniques and models (risk modeling, optimization etc.) in an equity trading setting is highly desirable.
    • Strong knowledge of financial markets.
    • Ability to work strict deadlines under pressure.
    • Outstanding communication skills (verbal and written).  The candidate must demonstrate an ability to articulate and translate complex mathematical concepts into language understood by others. 

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