Lead Python Developer for Quantitative Finance

Galent; Toronto; On-site; 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

Lead Python Developer for Quantitative Finance

Location: Toronto, ON (Hybrid, 3 days onsite)

Role Summary

We 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 level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology