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    Quantitative Developer - Austin, United States - Teacher Retirement System of Texas

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    Full time
    Description


    Company:
    $120k - $200k+ base + discretionary bonus


    Job Overview:

    This job offers the opportunity to work within a dynamic systematic equities team. You will be responsible for building software solutions to enhance trading processes, optimize data aggregation, and streamline investment research.


    Key Responsibilities:
    • Builds software to design and implements systematic trading solutions to capture pricing inefficiencies, optimally aggregate massive amounts of financial information, and accelerate investment research.
    • Works collaboratively within the systematic equities team to create a reliable and robust foundation for the technology platform, taking a holistic approach to systems performance, software design, and profit and loss (PnL) optimization.
    • Maintains code quality and integrity through continuous integration and continuous delivery/deployment (CI/CD) systems, including Jenkins, Powershell scripting, and Python.

    Minimum Qualifications:

    Education:
    • Bachelor's degree from an accredited college or university in computer science, computer engineering, computers and information technology, data analytics, engineering, or closely related field.

    Experience:
    • Experience with the Python data science stack, including NumPy and Pandas, and MS SQL Server.
    • Experience with a version control software, including Git.
    • One (1) year of full-time experience in software engineering, quantitative development, or related experience (Sr Analyst).
    • Three (3) years of full-time experience in software engineering, quantitative development, or related experience (Associate).
    • Five (5) years of full-time experience in software engineering, quantitative development, or related experience (Sr Associate).

    Preferred Qualifications:
    • Experience building software in a quantitative trading environment.
    • Experience working with Quantitative Researchers and/or Portfolio Managers.


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