Full-Time
C++ Programmer
Confirmed live in the last 24 hours
Waterfront International
11-50 employees
Quantitative finance research and trading strategies
No salary listed
Entry, Junior
Toronto, ON, Canada
- Bachelors, Masters or Ph.D. in Computer Science or Mathematics
- Exceptional C++ programming skills
- Excellent academic record.
- Develop new software as well as enhance existing systems, mostly in C++ on a Linux platform.
- Work directly with analysts to develop and maintain large scale financial analysis trading applications in a real time development production cycle.
Waterfront International focuses on quantitative finance by creating computer-based statistical trading strategies. Their approach involves using advanced mathematical models and algorithms to analyze market data and make trading decisions. This allows them to identify patterns and trends that can lead to profitable trades. What sets Waterfront apart from other firms is their rigorous hiring process, which seeks out only the most talented individuals with proven track records of success in finance and mathematics. The company's goal is to leverage this expertise to develop effective trading strategies that can outperform the market.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Toronto, Canada
Founded
N/A
Simplify's Take
What believers are saying
- Alternative data sources offer new opportunities for quantitative trading strategies.
- Quantum computing enables more complex and faster financial modeling.
- Explainable AI improves trust in trading algorithm decision-making processes.
What critics are saying
- Increased competition from AI-driven trading firms like Renaissance Technologies.
- Quantum computing advancements threaten traditional algorithmic trading strategies.
- New financial transaction taxes could affect high-frequency trading profitability.
What makes Waterfront International unique
- Waterfront International excels in developing computer-based statistical trading strategies.
- The firm leverages advancements in NLP for analyzing unstructured data.
- Integration of machine learning with econometric models enhances predictive analytics accuracy.
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