Quantitative Finance Software Engineer

1 month ago

Toronto, Ontario, Canada Boosted Full time
About Boosted.ai

Boosted.ai is a fintech company headquartered in Toronto, Canada with offices in New York City. We provide finance-specific AI tools that automate custom research workflows, analyzing data continuously from millions of sources, all tailored to the needs of our investment management clients. Our lead investors are innovators and disruptors in financial and technology markets, including Spark Capital, Ten Coves Capital, Portage Ventures, and RBC.

About the Role

We are seeking a highly skilled Quantitative Finance Software Engineer to join our team. As a developer, you will work on expanding and enhancing our core portfolio construction and backtesting system. You will play a key role in solving real-world, applied finance problems in code. The ideal candidate has experience working on a team to develop software for large-scale quantitative finance applications.

Responsibilities
  • Contribute high-quality, production code to the development of internal quant codebases
  • Solve analytically challenging problems to drive portfolio performance
  • Collaborate with web developers, cloud engineers, and data engineers to integrate our quantitative finance applications into the larger Boosted ecosystem
  • Play a part in the shared monitoring, support, and maintenance of existing applications
Requirements
  • BS or MS in financial engineering, computer science or engineering
  • ~2+ years experience as a developer in investment management, banking, or fintech
  • ~2+ years working in Python with scientific libraries (NumPy, Pandas, SciPy, Scikit-learn)
  • ~ Understanding of large-scale software code best practices (OOP, design patterns)
  • ~ Experience with production software development tools (Git, AWS, Jira, Agile)
  • ~ Exposure to traditional statistics, artificial intelligence, and machine learning in finance
What We Offer

We explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Join our team and contribute to the development of innovative AI tools for the finance industry.

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