Quantitative Finance Software Engineer, Boosted.ai
AI-driven investment software
Job no longer available
AI-driven investment software
21-100 employees
Job no longer available
21-100 employees
Company mission
To augment portfolio construction for investors through AI-driven quant tools without requiring any coding or data science background.
Role
Who you are
- The ideal candidate has experience working on a team to develop software for large-scale quantitative finance applications
- 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)
- Knowledge of the financial markets, portfolio construction, and quantitative approaches
- 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
- Ability to work in a team environment and communicate effectively with team members, managers, and other colleagues
What the job involves
- As a Quantitative Finance Software Engineer at Boosted.ai, you will work as a developer 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
- This team member is someone who is motivated, is self-aware, and collaborates well
- Work directly with product owners to research and develop portfolio construction techniques that our clients use to tackle complex problems
- 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
Our take
Gaining insights from the analysis of large quantities of financial data is essential for investment managers to create value within their equity portfolios, but there is only so much data that teams of humans can analyse. Robo-advisor investment tools leverage AI to boost scope and advise smart investment moves, but current solutions generally exist for individual investors as opposed to retail investment managers.
Boosted.ai provides an AI-driven investment platform for retail investment managers, leveraging machine learning algorithms to learn an investor's expertise, model it, and offer investment decisions to enhance portfolio outcomes. Portfolios are ranked based on the user's goals, Sharpe ratios, and risk assessment, and are analysed through the human-interrupted AI system without requiring any coding, data science, engineering, or specialised hardware.
Whilst the concept of AI assistance in investment is nothing new, Boosted.ai has taken a unique stance by encouraging the human-interrupted use of its tools specifically by retail investment managers. Furthermore, the company is aiming to increase the availability and accessibility of such software by taking a no-code and data-free approach.
Freddie
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2024
$15m
LATE VC
Aug 2024
$10m
GROWTH EQUITY VC
Total funding: $69.5m
Company benefits
- Comprehensive health benefits
- Flexible hours and time off
- Have fun & learn together
- Work from anywhere
- Opportunity to lead, learn & grow
Company HQ
Financial District, Toronto, ON
Leadership
Joshua Pantony
(Co-Founder & CEO)Experience as CTO and Co-founder of Maluuba. Senior Machine Learning/Software Engineer for Bloomberg LP from 2013 to 2017.
Jon Dorando
(Co-Founder & CTO)R&D Manager & Applied ML Scientist for Bloomberg from 2010 to 2017.
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