Top Tech Jobs & Startup Jobs in Calgary

As a Software Engineer II, you will collaborate with your team to manage project tasks, support product development, maintain operational metrics, and contribute to team growth. You should have experience with backend systems and be proficient in Python or Kotlin, along with familiarity in distributed systems and technologies like AWS, MySQL, and Kubernetes.

The Compliance Manager will lead the creation and management of the Financial Intelligence Unit. Responsibilities include overseeing SAR filings, managing FIU operations, enhancing compliance programs, collaborating with stakeholders, and staying updated on industry regulations.

As a Quantitative Analytics Manager, you will evaluate, structure, and price consumer asset-backed transactions, enhance pricing models for Affirm's loan portfolio, and build models to predict loan performance. You will also collaborate with various teams for optimal funding strategies and deal execution.

As a Staff Machine Learning Engineer, you will develop high-quality production-ready machine learning models, work with cross-functional teams to build model systems, and implement data pipelines to improve credit decision-making for Affirm.

The Staff Software Engineer will lead major engineering initiatives in the Trust and Safety Experience team at Affirm. Responsibilities include defining technical strategy, collaborating across teams, ensuring operational excellence, promoting a culture of quality, and mentoring team members.

The DEI Specialist at Affirm will support the execution of the company's diversity, equity, and inclusion strategy. Responsibilities include managing projects, collaborating with cross-functional teams, analyzing data, and ensuring effective communication across DEI programs. The role requires a focus on program improvement and maintaining data integrity while providing administrative support.

As a Machine Learning Engineer II, you will develop and implement sophisticated models to detect and prevent online fraud. Collaborate with cross-functional teams to enhance fraud detection capabilities, utilizing large-scale data and cutting-edge algorithms to ensure user security and business integrity.