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 risk.

In 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 (2LoD) 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 2LoD 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 author quarterly backtesting submissions for Model Risk Management (MRM).
• New Product Model Onboarding & Testing: Support quantitative requirements and model setup for new products and business initiatives. Support User Acceptance Testing (UAT), impact analysis, and validation testing for VaR and PFE models prior to MRM submission and production deployment.
• Model Parameter Calibration & Review: Execute routine and event-driven model parameter reviews and calibrations. Ensure model inputs, parameter mappings, and market data assumptions accurately reflect prevailing market conditions.
• Model Inventory & Issue Tracking: Maintain up-to-date documentation on model status, outstanding observations, and backlogs. Own the central issue tracking log and support standardized model review processes across 1LoD and 2LoD model usage.
• Data Integration & Analytics: Build and maintain automated data pipelines and analytical scripts to streamline model monitoring, stress testing, and quantitative reporting.
• Audit & Validation Support: Assist in preparing quantitative evidence, backtesting history, and calibration documentation for reviews conducted by Model Risk or Internal Assurance (IA).

Knowledge, Skills and Experience

What You'll Bring:

• Education: A Master's degree in a quantitative field (Quantitative Finance, Mathematics, Statistics, Financial Engineering, Physics, Computer Science, or related field).
• Experience: 2-5 years of hands-on experience in quantitative risk analysis, model development, model validation, or financial engineering within a capital markets or banking environment.
• Technical Stack: Strong hands-on coding capabilities in Python and SQL (BigQuery). Direct experience or familiarity with capital markets platforms like Murex, as well as market data tools (Bloomberg/BQL), is a strong asset.
• Quantitative Foundations: Strong theoretical knowledge of financial risk metrics (VaR, SVaR, PFE, XVA), pricing models, time-series analysis, probability distributions, and backtesting techniques.
• Technical Writing & Organization: Demonstrated ability to articulate complex mathematical models, assumptions, and statistical concepts in clear, structured methodology documentation. Proven ability to organize model inventories, track issues, and deliver structured reporting.
• The "ATB Fit": A detail-oriented problem solver with a learning mindset. You take ownership of your tasks, enjoy building efficient processes, and thrive in a collaborative, cross-functional team environment.

Workplace Arrangement

This position has a hybrid work arrangement. On average, this means 1-2 days on-site per week. Please note that this is subject to change due to business priorities.

Salary Range

$91,000 to $108,000 annually.

Don't meet all the requirements on the list?
A resume only goes so far in expressing who you are and the unique perspectives you bring. If you believe your skills and experience align with the role-but you might not check all the boxes-we want to hear from you. We encourage candidates from all work backgrounds, equity-seeking communities and experience levels to apply. If you're seeking a career where your drive, perspective and growth are celebrated, we want to hear from you.