Software Engineer – Risk Technology (Python / GCP)

Job Title: Senior Software Engineer – Capital Markets (Python / GCP)

Contract Duration: ASAP – Oct 31, 2026

Extension / Conversion: Possible

Positions: 3

Work Arrangement: Hybrid – 2 days onsite per week (Mon/Tue), may increase to 3–4 days

Location: Downtown Toronto (44 King Street West)

Role Overview

We are seeking Senior Software Engineers to join a Retail Risk Analytics Engineering (RRAE) team delivering credit risk model platforms supporting Basel III and IFRS 9 regulatory initiatives.

These are hands-on engineering roles requiring strong coding ability, clean architecture practices, and the ability to deliver end-to-end solutions in a Google Cloud Platform (GCP) environment.

This is not a support or configuration role — candidates must be strong programmers with recent, demonstrable development experience.

Key Responsibilities

• Design, develop, and optimize Python-based applications using best-practice coding and architectural patterns
• Build and enhance cloud-native solutions on GCP
• Perform code reviews and ensure high standards of code quality and maintainability
• Optimize performance, simplify complex logic, and improve existing solutions
• Produce clear technical documentation, flow diagrams, and architecture artifacts
• Collaborate with engineering, risk, and analytics stakeholders across multiple initiatives

Must-Have Skills & Experience

• 8+ years overall software development experience (Java, Python, or C++)
• 3+ years of recent, hands-on Python development (coding required)
• Proven experience delivering end-to-end application development
• Strong understanding of software architecture and design principles
• Ability to explain and reason through code, algorithms, and performance decisions
• Experience working in fast-paced, delivery-focused engineering teams

Nice-to-Have

• Experience with Pandas, NumPy
• Cloud-native experience on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions)
• SQL experience
• Scheduling/orchestration tools (e.g., Airflow)
• Docker / Kubernetes
• Message-based or batch processing architectures
• Git / Bitbucket best practices

Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.