Investment Technology Engineer

Be Boring. Make Money.™ is our investment approach, but we are anything but dull. We are a diverse, passionate team united by our commitment to provide our clients with financial peace of mind and our desire to create one of the best companies in the world. A career with us will be demanding; however, the experience will also be dynamic, supportive, intellectually stimulating, and above all—meaningful.

We take pride in doing things a little differently than other investment firms. Innovative ideas, diverse opinions and experiences, and teamwork are expected and rewarded regardless of title or tenure.

Dedicated to our people, we have consistently been recognized as a preferred employer, receiving awards such as Canada’s Top 100 Employers (2026), Alberta Top Employers (2026), and Canada’s Top Small & Medium Employer (2025).

This role is all about building the brains and plumbing behind our investment ideas—crafting the tools, data pipelines, and platforms that power research, portfolio analysis, and decision-making. You’ll live in Python, SQL, and the cloud, rapidly prototyping new concepts with investment teams and turning the best ones into robust, production-ready solutions. One day you might be hacking together a fast-turnaround analytic for a portfolio manager;

the next, you’re shaping longer-term platforms or experimenting with AI and LLMs to supercharge research workflows. It’s a great fit for someone who loves ambiguity, learns fast, and gets energy from collaborating directly with investors to build things that actually move the needle.

• Build internal tools and platforms that support investment research, portfolio analysis, and decision-making
• Design and implement data pipelines, services, and APIs that make research data more accessible, reliable, and reusable
• Develop prototypes quickly, test ideas with investment teams, and iterate into production-ready solutions
• Partner directly with portfolio managers, analysts, and researchers to co‑develop ideas, challenge assumptions, and build solutions together—using technology to elevate and scale investment thinking
• Apply AI and LLM‑based techniques where they meaningfully improve research workflows, productivity, or scalability
• Be comfortable switching between longer‑term platform build‑out and ad‑hoc investment needs—ranging from Excel‑based analysis (e.g., DCFs) and legacy platform support to fast‑turnaround analytics or data requests using in‑house and market datasets
• Take ownership of systems end‑to‑end: design, implementation, monitoring, maintenance, and continuous improvement
• Collaborate with other engineers and technologists to keep the Lab’s architecture clean, extensible, and resilient as usage grows

• Bachelor’s degree in Computer Science, Engineering, Math or Finance, or a related field
• 1-4+ years of experience in investment technology
• Demonstrated ability to build, analyze, or automate real‑world systems through experience in engineering, finance, analytics, or a closely related field
• Prior hands‑on experience with coding, data analysis, or technical tooling is required, even if gained outside a traditional software engineering role
• Strong working knowledge of Python and SQL; comfort building backend services and APIs (e.g., FastAPI)
• Experience working with cloud platforms and modern development workflows (Azure preferred)
• Familiarity with data engineering concepts such as pipelines, data modelling, APIs, and service‑based architectures
• Strong interest in financial markets and investment research; experience working with market or company‑level data—or the demonstrated ability to learn it quickly—is essential
• Curiosity about AI‑enabled tools and systems, with practical experimentation experience considered an asset
• High learning velocity, sound technical judgment, and the ability to operate effectively in a fast‑moving, less‑structured environment
• Clear communicator who takes ownership, works independently, and collaborates comfortably with investment professionals

• Directly contribute to the firm’s growth as a global, independent investment manager.
• Learn and work within…