Lead Python Developer For Quantitative Finance
Galent
Lead Python Developer for Quantitative FinanceLocation:
Toronto, ON (Hybrid, 3 days onsite)
Role SummaryWe are seeking a highly skilled Lead Python Developer to join a team building high performance, scalable reporting solutions for fixed income pricing and risk metrics, leveraging Quantitative Finance libraries and integrating with Bloomberg APIs. The ideal candidate will bring deep technical expertise in Python and financial computation frameworks.
Key Responsibilities
Design and implement Python based modules of quant finance (Quantlib) software libraries 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.
Seniority levelMid‑Senior level
Employment typeContract
Job functionInformation Technology
#J-18808-Ljbffr
Toronto, ON (Hybrid, 3 days onsite)
Role SummaryWe are seeking a highly skilled Lead Python Developer to join a team building high performance, scalable reporting solutions for fixed income pricing and risk metrics, leveraging Quantitative Finance libraries and integrating with Bloomberg APIs. The ideal candidate will bring deep technical expertise in Python and financial computation frameworks.
Key Responsibilities
Design and implement Python based modules of quant finance (Quantlib) software libraries 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.
Seniority levelMid‑Senior level
Employment typeContract
Job functionInformation Technology
#J-18808-Ljbffr
Vacancy posted 48 minutes ago
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