Full Description

Location: Toronto, ON (Hybrid)

Role Overview

We are seeking an experienced Quality Engineering (QE) Manager to lead QA/QE planning, execution, and reporting for end-to-end (E2E) testing across Credit Risk, Market Risk, and Global Trade Desk technology platforms. This role involves managing complex upstream data dependencies and ensuring quality across a diverse portfolio of enterprise business applications within a regulated financial services environment.

Key Responsibilities

Lead and manage E2E QA/QE strategy, planning, execution, and reporting across Market Risk and Global Trade Desk platforms. Oversee testing across complex system integrations, upstream/downstream data feeds, and multiple dependent applications. Drive test automation, data validation, and integration testing initiatives. Collaborate with technology, product, and business stakeholders to ensure quality and release readiness. Establish and track quality metrics, KPIs, and defect trends for senior stakeholder reporting.

Mandatory Requirements

Authorization to work in Canada. Proven experience leading QA/QE for enterprise-scale financial systems, preferably in Credit Risk, Market Risk, or Trading domains.

Highlighted Technical Skills

Quality Engineering Leadership: E2E test strategy, test planning, execution, defect management, and quality reporting across large application portfolios.

Test Automation & CI/CD: Automation frameworks (Selenium, Cypress, Playwright), API testing (Postman, REST Assured), CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps), scripting in Java, Python, or JavaScript.

Data & Risk Validation: Strong SQL skills, validation of market and credit risk data (P&L, VaR, sensitivities, exposures), testing of upstream data feeds and downstream calculations.

Capital Markets & Risk Systems: Knowledge of Market Risk, Credit Risk, Global Trade Desk workflows, and the trade lifecycle across Front Office, Middle Office, and Risk platforms.

Integration & Messaging: API and microservices testing (REST, JSON, XML), messaging systems such as Kafka, MQ, or JMS.

Cloud Platform: Hands-on experience testing applications deployed on AWS (e.g., EC2, S3, RDS, Lambda, EKS), including cloud-based environments and services.

Non-Functional Testing: Performance, load, resilience, and availability testing in high-volume trading environments.

Tools & Platforms: JIRA, Zephyr/Xray/ALM, Git.

Nice to Have

Experience with regulatory-driven testing (Basel, FRTB, stress testing). Exposure to vendor risk platforms (e.g., Murex, Calypso, FIS).

Skills: test automation,integration & messaging,data & risk validation,quality engineering leadership,aws,ci/cd,capital markets & risk systems,cloud platform