Senior Analyst, Quantitative Risk Analytics

Job ID3210

Work Type Hybrid Business  unit

Risk Management Pay gradeK - OTHApply before
01 September 2026

Number of openings1

Posting type Internal & External At ATB, we exist to make it possible for our clients, team members and communities. Our purpose is more than aspirational. It's a real commitment we live every day through our values (what we call the ATB ).Life at ATB is about more than work. In fact, we’re consistently recognized as one of Canada's top employers thanks to our high-care, high-performance culture, upheld by the three commitments we make to our team members:

Impact in action:
No matter where you are in the organization, you're empowered to make an impact in the lives of our clients and communities.

Thrive together:
We want you—the unique, authentic you—to feel safe and celebrated 're on a continuous journey to build the most flexible and inclusive programs.

Ready for tomorrow:
We want to enable your success through interesting and challenging work, performance enablement, and learning and development.

Our Purpose At ATB, we exist to make it possible for our clients, team members, and communities. For us, a strong second line of defense isn’t just about protecting the bank; it’s about enabling our business to innovate and serve our clients better. By providing the quantitative rigor and analytical insights that underpin our financial risk management, you make it possible for ATB to grow sustainably, compete with the "big players," and navigate a complex market with confidence.

About the Role As the Senior Analyst, Quantitative Risk Analytics, you will be a vital hands-on technical engine within our fast-growing Financial Risk Management (FRM) team. In an "all-hands-on-deck" environment where we value curiosity, experimentation, and technical rigor, your work directly impacts how ATB quantifies and manages financial  this role, you will focus on the quantitative engine of the bank—authoring and maintaining methodology documentation, conducting regular model calibrations, executing robust backtesting, and supporting ongoing model enhancements across key 2nd Line of Defense (2

LoD) frameworks, such as Value at Risk (VaR), Potential Future Exposure (PFE), and X-Valuation Adjustments (XVA). You will play a key role in transitioning our quantitative oversight from ad-hoc analysis to a highly structured, automated, and mature practice.

A Day in the Life You'll have the flexibility to work in a hybrid setup across our Calgary, Edmonton, or Toronto offices. Your week will combine hands-on coding, mathematical analysis, and clear quantitative writing.

A typical week might involve:

Methodology Documentation:
Authoring or updating comprehensive, audit-ready methodology documents for financial risk models, ensuring mathematical formulations, assumptions, and risk taxonomies are clearly articulated.

Model Calibration & Inventory:
Reviewing and calibrating key model parameters in Murex while maintaining our model inventory, issue tracking logs, and model status backlogs.

Backtesting & MRM Reporting:
Backtesting risk models (e.g., VaR, PFE), investigating breaches, and authoring quarterly backtesting report submissions for Model Risk Management (MRM).New Product Model Setup & Testing:
Partnering on new product initiatives (e.g., model setup, testing, and VaR/PFE methodology documentation for new products or asset classes) prior to production deployment.

Collaboration & Problem Solving:
Working with colleagues across FRM, Market Risk, and Trade Floor teams to resolve data feed discrepancies or clarify model outputs.

What You'll Do Methodology Documentation & Risk Governance:
Lead the drafting, updating, and maintenance of clear, thorough methodology documentation for 2

LoD financial risk models (VaR, SVaR, PFE, XVA). Contribute to operationalizing our FRM Risk Taxonomy and ensure all documentation resides in a centralized repository meeting high internal governance standards.

Backtesting & Performance Tracking:
Develop, execute, and formalize backtesting frameworks and performance monitoring routines across material financial risk models. Analyze exceptions, perform root-cause analysis on breaches, and…