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    Python Quantitative Developer - New York, United States - Radley James

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    Description

    Hiring on behalf of a leading Hedge Fund looking to grow out their Quantitative Equity area with strong Python developers. Within this area you will join of the teams of quantitative researchers and developers who are working together to build and scale one of the largest equities portfolios in the market by optimizing various aspects of the investment, risk management, portfolio construction, and trade execution lifecycle.

    Key Responsibilities –

    • Building a unique firm-wide systems that allows researchers to access and look at data, and to build, fit and back test models in production-ready and simulation environments
    • Working directly with the researchers and traders to identify pain points to resolve and new functionality required to support modelling efforts
    • Building products and frameworks to provide insights into their investment process and performance
    • Providing a coding environment and a variety of data and platform services which allows for a substantial impact on efficiency, the ability to share and collaborate on research, and ultimately improve time-to-market of business-critical quantitative analytics
    • Desire and ability to work in a dynamic and cohesive environment.

    Requirements-

    • BS or MS in a relevant and highly technical field (computer science, math, physics, etc.)
    • 5+ years software development experience, strong experience in building high quality software in Python
    • Strong interest in the research process and understanding business needs

    A strong background in finance is desirable for this role (preferably buyside) but not essential, they are keen on seeing people from out of industry currently working on high level and complex challenges looking to make a break into finance.

    Compensation for this role is highly competitive and based on experience. It is worth nothing they are also open to seeing profiles of those who wish to relocate to NYC.



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