QA Analyst

Location: Montreal, Quebec

Our client is a global investment management firm. As a technology and data-driven firm, they design and build their own cutting-edge systems, from high-performance trading platforms to large-scale data analysis and compute farms.

The QA Analyst will work on manual testing as well as automation. The team emphasizes ownership of overall quality of front-to-back applications, striving to improve efficiency through automation and collaborating across teams.

Successful candidates will:

1. Be responsible for front to back testing and test environment maintenance, interacting with the support team.
2. Learn the business lifecycle of listed and non-listed products from Business Analysts and Users, interacting with external vendors, brokers, and exchanges certifying the front to back flow.
3. Drive automation by developing and maintaining automation frameworks for applications across technology like data services, position keeping, and risk management.
4. Be comfortable working in a rapidly changing environment with short deadlines, a need for high-quality reliable deliverables, and strong communication with global colleagues.

Overview of Quality Assurance Analyst role:

1. Perform manual or automated testing on the firm's technology applications to ensure that the system meets quality standards.
2. Collaborate with development, business analysts, and stakeholders to define and execute test plans.
3. Acquire knowledge and understanding of the trade life cycle of capital markets and products.

Typical Day of Quality Assurance Analyst:

1. Design test artifacts based on project requirements, perform end-to-end testing, defect tracking, and reporting.
2. Perform certifications and conformance testing with brokers/exchanges.
3. Maintain the test environment, identify areas of improvement, identify areas of automation, and develop automation scripts.
4. Collaborate with teams globally to ensure effective communication throughout the testing process.

Must Have Skills:

1. Bachelor’s degree in computer science, engineering, physics, or mathematics.
2. Understanding of trading systems/financial domain with experience in testing front office, back office, or risk applications.
3. Strong communication skills and ability to collaborate with colleagues across multiple regions.
4. Experience working in Linux-based environments and proficiency in at least one scripting language (e.g., bash, python).