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    Platform Developer - Toronto, ON, Canada - Delphia

    Delphia
    Delphia Toronto, ON, Canada

    1 week ago

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    Description
    Full Time] Quantitative Developer at Delphia (United States) | BEAMSTART Jobs Quantitative Developer
    Full Time
    Remote Work
    Delphia is building the world's first investment strategy anyone can improve with their data. Weselect stocks to a portfolio by analyzing trends in the data and the market.

    We are building a new kind of company that re-thinks the value of privacy, data rights, andfiduciary responsibility in order to ensure your data is always working for you — like your money.

    Whether we're identifying trends or educating people on how their data can be used to makebetter investment decisions, people at Delphia are socially-minded creatives at heart.

    Working together,we want people to realize the true value of their data — and we're just getting started.
    The company was founded in 2018 and is a graduate of Y Combinator and the CreativeDestruction Lab.

    You will work on state-of-the-art machine learning systems, manage proprietary and open source data consumption and help oversee day-to-day hedge fund operations.

    Work closely with the research team to design ML and investment research tools and systems and to evaluate novel and potentially valuable data sources.


    • Working with quantitative research analysts to translate investment insights into a systematic, data-driven investment process
    • Work on a quantitative investment team responsible for active investment strategies, potentially in different regions and different asset classes (but currently focused on equities).
    • Simultaneously working to improve automation and scale.
    • Manage and update both data and portfolio generation pipelines in production and staging environments.
    • Optimize system performance and help push research into production.
    • Bachelor's degree in a quantitative discipline (engineering, computer science, mathematics, physics, etc.)
    • Strong programming skills and experience with Python. Knowledge of python packages, dask, pandas, lightgbm, scikit learn, and/or numpy is a plus
    • Asset management experience highly desirable. Familiarity with quantitative investing terminology related to risk and return, transaction costs and portfolio construction.
    • Experience with CAPIQ data is a plus
    • Familiarity with Google Cloud Platform or similar (AWS, Azure, etc.)
    • MLFlow)
    • Experience with data ingestion and data processing pipelines (e.g. Airflow)
    • Advanced knowledge of database languages (e.g. SQL, BigQuery, Snowflake)
    • Excellent verbal and written communication skills
    A quantitative investment strategy anyone can improve with their data.
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