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Quantitative Developer

Remote / Online - Candidates ideally in
Edmonton, Alberta, Canada
Listing for: Burke Recruiting Inc.
Remote/Work from Home position
Listed on 2026-10-02
Job specializations:
  • Software Development
    Data Scientist, Python
Salary/Wage Range or Industry Benchmark: 85 - 110 CAD Hourly CAD 85.00 110.00 HOUR
Job Description & How to Apply Below

Title: Quantitative Developer |
Location: Vancouver, BC (Remote)

Estimated Rate: $85 - $110 / hour |
Job Type: 6-18 months

About the Opportunity 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.
  • Data Architecture: Manage large-scale quantitative financial datasets utilizing No

    SQL databases and scientific computing libraries (Num Py).

Qualifications

  • Core Expertise: Strong background as a Quantitative Developer with demonstrated expertise in quantitative methodologies (required).
  • Technical Stack: Hands-on proficiency in Python, C#, Num Py, and modern No

    SQL databases.
  • Financial Domain Knowledge: Solid understanding of financial modeling, risk management, Basel III framework, or high-frequency trading systems.
  • Performance Engineering: Prior experience working on low-latency systems, algorithmic execution, or complex Monte Carlo simulation models.
  • Problem-Solving: Exceptional analytical, mathematical, and algorithmic reasoning skills.

What’s In It for You

  • Tier-1 Exposure: Access to high-profile quantitative projects across enterprise institutional networks.
  • Full Remote Flexibility: Work 100% remotely based out of Vancouver, BC.
  • Competitive Compensation: 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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