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Quantitative Developer

2 months ago

Old Toronto, Ontario, Canada Delphia Full time
About Delphia

Delphia is a pioneering investment firm that leverages data-driven insights to create innovative investment strategies. Our mission is to revolutionize the investment landscape by harnessing the power of data and machine learning.

We are a rapidly growing company with a diverse team of experts from around the world. Our company was founded in 2018 and has since raised significant funding to support our mission.

About the Role

We are seeking a highly skilled Quantitative Developer to join our investment team. As a key member of our team, you will work closely with researchers and portfolio managers to design and implement cutting-edge machine learning systems and data-driven investment processes.

Your primary responsibilities will include:

  1. Collaborating with the research team to develop and implement novel data sources and machine learning tools.
  2. Working with quantitative research analysts to translate investment insights into systematic, data-driven investment processes.
  3. Managing the creation of forecasts, ideal portfolios, and trade lists based on data-driven insights.
  4. Developing and maintaining data and portfolio generation pipelines in production and staging environments.
  5. Optimizing system performance and pushing research into production.
  6. Building and maintaining prediction and backtesting infrastructure on the cloud.
Requirements

To be successful in this role, you will need:

  1. A Bachelor's degree in a quantitative discipline (engineering, computer science, mathematics, physics, etc.).
  2. Strong programming skills and experience with Python, including knowledge of popular libraries such as dask, pandas, lightgbm, scikit-learn, and numpy.
  3. Asset management experience is highly desirable.
  4. Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
  5. Experience with cloud development, containerization, and MLOps tools.
  6. Advanced knowledge of database languages such as SQL, BigQuery, or Snowflake.
  7. Excellent verbal and written communication skills.