Hybrid Lead Python Quant Developer: Bond Pricing & Risk

Galent; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A financial technology company is seeking a skilled Lead Python Developer to build high-performance reporting solutions for quantitative finance. This mid-senior role focuses on Python and requires strong experience with Quantitative Finance libraries and API integration. Ideal candidates will have 7+ years in Python development and a collaborative approach within an Agile environment. The position offers hybrid work in Toronto.

Qualifications

• 7+ years of professional experience in Python development, focusing on numerical computing or financial analytics.
• Strong experience with Quantitative Finance libraries like QuantLib or PyQL.
• Proven expertise in API integration, especially with Bloomberg APIs.

Responsibilities

• Design and implement Python based modules of quant finance software libraries for specifications.
• Develop and maintain reusable components for Quantlib financial metrics.
• Collaborate with data engineers for seamless integration with data pipelines.

Skills

Python development

Quantitative Finance libraries

API integration

Agile/Scrum

Job description

A financial technology company is seeking a skilled Lead Python Developer to build high-performance reporting solutions for quantitative finance. This mid-senior role focuses on Python and requires strong experience with Quantitative Finance libraries and API integration. Ideal candidates will have 7+ years in Python development and a collaborative approach within an Agile environment. The position offers hybrid work in Toronto.