Lead Engineer (Python and Capital Markets)

Collabera; Toronto; Hybrid; CAD 96,432 - 110,208; Full time

Job summary

A technology consulting firm is seeking a Lead Engineer focused on Python development within capital markets. The role involves designing and optimizing trading platforms, implementing data solutions, and collaborating with teams to enhance system performance. Candidates should have expertise in capital markets and strong Python skills. The position offers a contract with a hybrid work model in Downtown Toronto, with competitive pay ranging from $70 to $80 per hour.

Qualifications

• Experience in public markets, FX, equities, and derivatives.
• Strong Python development skills.
• Experience in systematic or quantitative trading environments is a plus.

Responsibilities

• Develop and maintain Python-based trading and analytics applications.
• Collaborate with QA and DevOps teams on feature delivery.
• Participate in agile ceremonies for continuous improvement.

Skills

Knowledge of Capital Markets

Problem-solving skills

Communication skills

Collaboration skills

Tools

AWS

Java

React

Job description

Lead Engineer (Python and Capital Markets)

This range is provided by Collabera. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $80.00/hr

Direct message the job poster from Collabera

Duration: 6-Month Contract (Possibility of Extension or Conversion to Full-Time)

Location: Downtown Toronto

Hybrid Work Model: 4 day/week onsite

# of Openings: 1

Why the Role is Open:

Part of the Systematic Strategies Group’s continued buildout. The team is scaling to support modernization, performance, and automation initiatives across trading systems. This role complements the lead engineer position by focusing on Python-based development within the same platform.

What They Will Accomplish (High-Level):

• Contribute to the design, development, and optimization of systematic trading platforms
• Implement scalable and efficient data and analytics solutions in Python
• Support system integration with AWS cloud infrastructure
• Ensure reliability, performance, and quality of production code

Day-to-Day Responsibilities:

• Develop and maintain Python-based trading and analytics applications
• Work with cloud infrastructure (AWS) for deployment and scalability
• Collaborate with the lead engineer, QA, and DevOps teams on feature delivery
• Assist in troubleshooting and performance optimization of production systems
• Participate in agile ceremonies and contribute to continuous improvement initiatives

Must-Haves:

• Knowledge of Capital Markets (public markets, FX, equities, derivatives, etc.)
• Strong problem-solving, communication, and collaboration skills

Plusses / Nice-to-Haves:

• AWS cloud experience (deployment, scaling, architecture)
• Familiarity with Java, React, or DevOps pipelines
• Experience working in systematic or quantitative trading environments

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Investment Management