Job Description

Position:

Lead Python Developer (Tech Lead)

Location:

Toronto, ON (Hybrid)

Position:

Full time/Contract

Key Responsibilities:

Design and implement Python based modules of quant finance (Quantlib) software librarites for bond pricing, yield curve modeling, and risk analytics. Develop and maintain reusable components for Quantlib financial metrics. Integrate with Bloomberg APIs and other market data sources to retrieve and validate pricing inputs. Implement and optimize Quantitative Finance libraries (e.g., QuantLib, PyQL, finmath) for high accuracy metric calculations. Collaborate with data engineers and analysts to ensure seamless integration with cloud based data pipelines. Ensure precision (3 decimal accuracy) in all pricing and risk computations. Support testing, validation, and deployment of analytics modules in production environments.

Required Technical Skills:

7+ years of professional experience in Python development, with a focus on numerical computing or financial analytics. Strong experience with Quantitative Finance libraries such as QuantLib, PyQL, or similar. Proven expertise in API integration, especially with Bloomberg APIs or other financial data providers. Experience working in Agile/Scrum environments and collaborating with cross functional teams.
Job Types: Full-time, Fixed term contract
Contract length: 12 months

Pay: $60.00-$65.00 per hour

Expected hours: 40 per week

Experience:

Quantitative Finance: 2 years (required) * API integration: 1 year (required)