Quant Python Developer

Long term role open to either contract or full time supporting a banking client downtown Toronto.

Capital Markets and/or investment industry experience is highly desired.

We are looking for someone who can Join dynamic team to develop innovative quantitative models that directly impact trading strategies, pricing accuracy, and risk management. Tackle large-scale financial datasets and leverage advanced analytics to stay ahead in the competitive capital markets.

Responsibilities:

Build, test, and optimize quantitative models supporting trading, pricing, and risk.

Develop robust Python-based analytics, integrating seamlessly with trading systems.

Manage and analyse large datasets related to market, pricing, and risk.

Collaborate with traders, quantitative analysts, and technology teams to implement solutions.

Maintain and improve existing models and frameworks.

Stay updated with latest financial theories, data science advancements, and market trends.

Required:

Over 5 years of experience in Python development with a focus on object-oriented programming and data libraries.

Proficiency in SQL (PostgreSQL/MySQL).

Experience with REST APIs and microservices architecture.

Exposure to Large Language Model (LLM)-assisted development is a plus.

Strong knowledge of equities and capital markets.

Excellent problem-solving skills and team collaboration capabilities.

Bachelor’s or master’s degree in finance, Computer Science, or related field.

Desired skills:

Hands-on expertise in SQL (PostgreSQL/MySQL) and working with large-scale financial datasets (market, pricing, risk).

Experience building analytics, REST APIs, and microservices, with integration into trading systems.

Good knowledge of Equities/Capital Markets, with ability to collaborate closely with traders, quants, and tech teams.

Hands-on expertise in SQL (PostgreSQL/MySQL) and working with large-scale financial datasets (market, pricing, risk).

Experience building analytics, REST APIs, and microservices, with integration into trading systems.

Good knowledge of Equities/Capital Markets, with ability to collaborate closely with traders, quants, and tech teams.