Quantitative Finance Software Engineer

Boosted.ai is a fintech company headquartered in Toronto, Canada with offices in New York City. We provide AI tools to asset managers to augment their equity capital markets research. Boosted.ai empowers finance professionals to use AI and machine learning to sort through massive amounts of data to find stock opportunities. We are a well funded, post Series-B company - our lead investors are innovators and disruptors in financial and technology markets, including Spark Capital (Twitter, Slack, Affirm), Ten Coves Capital (Plaid, Sentieo, TouchBistro), Portage Ventures (Wealthsimple, Borrowell, Nesto), and RBC (Royal Bank of Canada).

Position Description

As a Quantitative Finance Software Engineer at Boosted.ai, you will work as a developer on the quant team to help solve real-world, applied finance problems in code. You will play a key role in expanding and enhancing our core portfolio construction and backtesting system. The ideal candidate has experience working on a team to develop software for large-scale quantitative finance applications. This team member is someone who is motivated, is self-aware, and collaborates well.

Responsibilities

• Collaborate with web developers, cloud engineers, and data engineers to integrate our quantitative finance applications into the larger Boosted ecosystem
• Work directly with product owners to research and develop portfolio construction techniques that our clients use to tackle complex problems
• Solve analytically challenging problems to drive portfolio performance
• Play a part in the shared monitoring, support, and maintenance of existing applications
• Contribute high-quality, production code to the development of internal quant codebases

Requirements

• Experience with production software development tools (Git, AWS, Jira, Agile)
• 2+ years experience as a developer in investment management, banking, or fintech
• Exposure to traditional statistics, artificial intelligence, and machine learning in finance
• Knowledge of the financial markets, portfolio construction, and quantitative approaches
• Understanding of large-scale software code best practices (OOP, design patterns)
• 2+ years working in Python with scientific libraries (NumPy, Pandas, SciPy, Scikit-learn)
• Ability to work in a team environment and communicate effectively with team members, managers, and other colleagues
• BS or MS in financial engineering, computer science or engineering

Diverse Perspectives

We know that innovation thrives on product teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our product teams.