Our client, a premier global enterprise services firm, is seeking experienced Quantitative Developers to join an exclusive, high-priority talent network supporting major quantitative engineering and risk management initiatives. In this role, you will bridge the gap between complex mathematical modeling and high-performance software engineering. Working remotely from Vancouver, you will design, implement, and optimize robust algorithms and financial models for top-tier institutional clients.
What You’ll Be Doing
Build & Implement Models:
Translate advanced quantitative methodologies and financial models into production-ready, low-latency code.
Backtest & Validate:
Run rigorous Monte Carlo simulations, stress testing, and backtesting frameworks to validate trading and risk strategies.
Risk Framework Engineering:
Align systems with Basel III regulatory standards and complex financial risk management requirements.
System Optimization:
Develop and refine algorithms in Python and C# to support high-frequency trading (HFT) and low-latency execution environments.