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Quantitative Developer
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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 RoleWe 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:
- Collaborating with the research team to develop and implement novel data sources and machine learning tools.
- Working with quantitative research analysts to translate investment insights into systematic, data-driven investment processes.
- Managing the creation of forecasts, ideal portfolios, and trade lists based on data-driven insights.
- Developing and maintaining data and portfolio generation pipelines in production and staging environments.
- Optimizing system performance and pushing research into production.
- Building and maintaining prediction and backtesting infrastructure on the cloud.
To be successful in this role, you will need:
- A Bachelor's degree in a quantitative discipline (engineering, computer science, mathematics, physics, etc.).
- Strong programming skills and experience with Python, including knowledge of popular libraries such as dask, pandas, lightgbm, scikit-learn, and numpy.
- Asset management experience is highly desirable.
- Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
- Experience with cloud development, containerization, and MLOps tools.
- Advanced knowledge of database languages such as SQL, BigQuery, or Snowflake.
- Excellent verbal and written communication skills.