Senior Analyst, Risk Data Scientist

TMX Group; Montreal (administrative region); Hybrid; CAD 90,000 - 150,000; Full time

Job summary

TMX Group is seeking a risk-focused software engineer to design core Python libraries and robust risk calculation applications. The role blends quantitative finance with software engineering, delivering scalable models and reliable outputs.

You will work on advanced data science for equities, fixed income, and derivatives, while collaborating on containerization, performance optimization, and production readiness with CI/CD best practices.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• 3–5 years bridging finance and programming; data science in financial risk management.
• Advanced Python proficiency with OOP, Pandas, NumPy; SQL and databases; Git and SDLC practices.

Responsibilities

• Design, develop, and maintain foundational Python libraries for core financial logic and risk models.
• Build risk calculation applications using core libraries and ensure scalable data outputs for reporting.
• Apply quantitative techniques to equities, fixed income, derivatives, and structured products.
• Collaborate to containerize applications, optimize performance, and follow CI/CD practices.
• Create and maintain comprehensive documentation and mathematical flowcharts.

Skills

Python

OOP

Pandas/NumPy

SQL

Git

SDLC

Education

Bachelor's degree in CS/Engineering/Math

Master's in Financial Engineering/Data Science

Tools

Jira

Confluence

Docker

Nexus

LaTeX

Job description

Key Responsibilities

• Core Risk Libraries & UAT: Design, develop, and maintain the foundational Python libraries containing core financial logic and mathematical models. Package and publish these libraries to our central artifact repository. Develop the UAT tools and frameworks necessary to validate third-party integrations against strict risk logic before they go live.


• Calculation Applications: Consume core libraries to architect and build robust, scalable risk calculation applications. Ensure these applications efficiently process complex models and write high-quality analytical outputs to our databases for downstream reporting.


• Quantitative Analysis & Modeling: Apply advanced data science and quantitative techniques for the in-depth analysis of equities, fixed income, derivatives, and structured products.


• Continuous Improvement & Automation: Collaborate with the Analytics Infrastructure owner to containerize applications, optimize computational performance, and adhere to CI/CD best practices.


• Documentation: Create and maintain comprehensive application documentation, solution diagrams, and mathematical flowcharts.

Skills and Experience

• Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a Master’s degree in Financial Engineering (or a related field with a strong focus on finance and data science).


• Experience: 3–5 years of hybrid experience bridging finance and programming; proven application of data science techniques in financial risk management.


• Technical Skills: Advanced proficiency in Python (including OOP, Pandas, NumPy, and scientific computing libraries). Strong knowledge of SQL and database querying. Experience with code versioning (Git) and software development lifecycles.


• Problem Solving: Strong time management, analytical skills, and the ability to prioritize complex technical projects in a high-pressure environment.

Nice to Have

• Certifications: FRM, PRM, or progression within the CFA program.


• Tools & Architecture: Familiarity with LaTeX for mathematical documentation, Atlassian product suite (Jira, Confluence), and basic knowledge of containerization (Docker) or artifact management (Nexus).


• Data Visualization: Familiarity with Business Intelligence tools (e.g., Tableau).

In the market for…

• Excitement – Explore emerging technology and innovation, as well as ventures and digital finance that shape the future of global markets! Experience the movement of the market while grounded in the stability of close to 200 years of success.


• Connection – With site hubs in some of the world’s most multicultural cities, we leverage our size and structure to create rich connections and belonging while experiencing powerful global impact through our work.


• Impact – More than a platform, we use our talents to power mission-critical systems that drive global economic advancement, innovation, and growth. As well, our employee-led Team Impact spreads social good via our giving strategy.


• Wellness – From empathetic leadership to a culture of flexibility and balance, we believe wellness at work creates the maximum yield and a stronger “we”. Plus, with a cloud-first and hybrid workstyle, as well as generous time-off and leaves, we support a life well lived!


• Growth – From a growth mindset in our work, to expansion in our business, TMX is home to action-takers energized by the achievement of ambitious growth.

Our Culture

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we’re powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team. Ready to be part of the action?

Job Location

Hybrid (2-3 days in office) – based in Montreal, QC.

Position Summary

TMX’s Post Trade Risk Management team manages financial risks for The Canadian Depository for Securities Limited (CDS) and The Canadian Derivatives Clearing Corporation (CDCC), developing and maintaining robust procedures, models, systems, and reporting aligned with TMX policies, TMX risk appetite, and PFMIs. Reporting to the Senior Manager, Risk Integration, this role sits at the intersection of quantitative finance and software engineering. You will be a driving force behind our Core Risk Libraries and Calculation Applications. Your mandate is to design the foundational financial mathematics, package them into shared Python libraries, and build the robust calculation applications that process raw transactional data into actionable risk metrics. Collaborating closely with our Infrastructure and Reporting pillars, you will ensure our mathematical models are scalable, accurate, and seamlessly integrated into production.

Equal Opportunity / Diversity

TMX is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.

Our company is not currently sponsoring work permit applications and the applicant must be authorized to work in the country where this position is located.

TMX Group Overview

TMX Group operates global markets, and builds digital communities and analytic solutions that facilitate the funding, growth and success of businesses, traders and investors. TMX Group’s key operations include Toronto Stock Exchange, TSX Venture Exchange, TSX Alpha Exchange, The Canadian Depository for Securities, Montréal Exchange, Canadian Derivatives Clearing Corporation Trayport and VettaFi, which provide listing markets, trading markets, clearing facilities, depository services, technology solutions, data products and other services to the global financial community. TMX Group is headquartered in Toronto and operates offices across North America (Montréal, Calgary, Vancouver and New York), as well as in key international markets including London, Singapore and Vienna.