Senior Risk Specialist, Analytics Infrastructure

TMX Group•Montreal, QC

1d•Hybrid

About The Position

The Senior Specialist will act as the foundational lead for our analytics infrastructure. You will own the core deployment pipelines, database management, and version control systems that empower our quantitative developers. Acting as the primary bridge between the Risk team and TMX GTS, you will ensure our technical environment is robust, scalable, and capable of supporting complex financial calculation applications. Given the dynamic nature of our team, we are seeking a candidate with a hybrid skillset. In addition to infrastructure leadership, you will leverage your foundational knowledge of financial risk management to contribute directly to quantitative development, data analytics, or reporting projects when infrastructure demands fluctuate.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Financial Engineering, or a related technical field.
5+ years of hybrid experience spanning Platform/Data Engineering and quantitative or risk application development, ideally within a financial institution.
Solid understanding of core financial risk management concepts (market, credit, or liquidity risk) and financial products.
Expert proficiency with CI/CD and version control tools (Git, Nexus, Jenkins, Vault).
Strong knowledge of Database Management, schema design, and SQL.
Experience with containerization and deployment architecture (e.g., Docker, Kubernetes).
Advanced proficiency in Python, not only for scripting and automation, but also for data analysis and supporting quantitative risk models (e.g., Pandas, NumPy).

Nice To Haves

FRM or PRM designation.
Familiarity with financial market infrastructures (CDS/CDCC) and Post-Trade clearing.
Familiarity with Business Intelligence tools (e.g., Tableau) and the Atlassian suite (Jira, Confluence).

Responsibilities

Design, maintain, and optimize the automated deployment pipelines and artifact repositories (Git, Nexus, Jenkins, Vault) for the Risk Integration team.
Oversee the containerization and delivery of Python-based calculation applications to our application servers and production environments.
Manage the Risk analytics databases, ensuring data integrity, optimized schema design, and seamless ingestion of monitoring data from GTS transactional systems.
Act as a versatile quantitative developer by stepping in to design, build, and maintain risk calculation applications, financial models, or BI tools during periods of lighter infrastructure demand.
Act as the primary technical point of contact with TMX GTS. Translate the Risk team's architectural needs, express infrastructure requirements, and ensure alignment with enterprise standards.
Establish and enforce best practices for code versioning, environment management, and automated deployments across the quantitative development lifecycle.