Title: Quantitative Developer | Location: Vancouver, BC (Remote) About the Prospect 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.

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. Develop and refine algorithms in Python and C# to support high-frequency trading (HFT) and low-latency execution environments.

Data Architecture:



Manage large-scale quantitative financial datasets utilizing NoSQL databases and scientific computing libraries (NumPy). Strong background as a Quantitative Developer with demonstrated expertise in quantitative methodologies (required).

Technical Stack: Hands-on proficiency in Python, C#, NumPy, and modern NoSQL databases. Solid understanding of financial modeling, risk management, Basel III framework, or high-frequency trading systems.

Performance Engineering: Tier-1 Exposure: Access to high-profile quantitative projects across enterprise institutional networks.

Full Remote Flexibility: Work 100% remotely based out of Vancouver, BC. High-market hourly contract rates aligned with senior-level quantitative talent.

Autonomy & Impact: High-autonomy engagement building mission-critical financial engineering tools. #

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