# Director ALM Analytics and Applied Research at RBC

RBC is hiring a Director ALM Analytics and Applied Research in Toronto, Canada. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/aeec0059-c013-4fec-b34a-aa6707e18a4b?utm_medium=ai-agent).

AI Level 1, AI centrality 30 out of 100. TORONTO, Ontario, Canada.

## Details

- Company: [RBC](https://jobsbylevel.com/companies/rbc)
- AI level: AI Level 1 (score 30 out of 100)
- Location: TORONTO, Ontario, Canada
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/aeec0059-c013-4fec-b34a-aa6707e18a4b?utm_medium=ai-agent

## Description

Job Description WHAT IS THE OPPORTUNITY? Director, ALM Analytics & Applied Research is responsible for research, simulation, and forecasting of RBC’s Canadian banking balance sheet and income statement for the purpose of measuring stress exposure, in support of the Bank's Asset Liability Management, IRRBB metrics, and stress testing. The role focuses on econometric modeling of client behaviour assumptions for retail banking products, with strong emphasis on statistics, fixed income valuation modeling, and database management. Responsibilities include applied research relating to behavioural options in retail banking, risk and simulation model development, design input and output criteria, model performance evaluation, model and assumption documentation, process design, and econometric research related to dynamic forecasting assumptions. WHAT WILL YOU DO? · Simulate and forecast Canadian Banking balance sheet and income statement under stress scenarios for purposes of IRRBB risk measurement. · Develop econometric models for forecasting purposes to project cashflows of RBC banking book positions used for IRRBB measurement, using internal and external time series and panel data sets; maintain strong database extract, transform, and load capabilities; and leverage industry, economic, and market information to improve model intelligence through liaison with internal and external resources. · Design, develop, and implement robust financial risk, valuation, and forecast models within RBC’s QRM risk engine. · Conduct research and analytics pertaining to model inputs and assumptions, ensuring correct model use and governance requirements. · Evaluate internal and external data to understand balance sheet dynamics, product characteristics, client behaviour, and balance sheet flows with focus on retail banking products. · Lead and perform end-to-end modelling responsibilities, including process evaluation of data quality, model performance tracking, ensuring consistency across models employed for forecasting and stress testing, and maintaining clear documentation of approach, methodologies, and processes. · Maintain requisite model governance, model documentation, model inventory, and process mapping requirements. Ensure efficient and effective model risk and compliance management, including performance of regular model validation submissions and model finding remediations. · Leveraging industry best practices including use of AI, develop and implement an internal toolkit for assessing hypotheses and mathematical models behind applied and proposed risk methodologies, stress testing, and projections. · Consider, understand, and evaluate general ledger, accounting and finance, and regulatory reporting processes, as they relate to IRRBB measurement, management, and modelling. · Perform ad hoc scenario analysis in support of balance sheet IRRBB hedging, with high degree of interaction with business units to promote business segment review, challenge, and alignment. WHAT DO YOU NEED TO SUCCEED? Must-have: · Graduate degree in a quantitative field such as financial engineering, mathematics, statistics, or economics. · 7+ years related experience with a strong grasp of ALM practices. · Understanding of banking book balance sheet dynamics, product characteristics, client behaviour, and balance sheet flows, with focus on retail banking products. · Solid understanding of financial principles and risk concepts, including financial modelling and engineering, pricing models, econometrics, and fixed income mathematics. · Excellent capabilities in statistical and analytical principles, tools, and techniques. · Strong understanding of applicable regulatory guidelines and accounting principles, and related systems. · Strong communication and negotiation skills. · Well-organized and detail oriented, with ability to tailor analysis to the required level of precision. Nice-to-have: · CFA and/or FRM designations, or equivalent. · Prior exposure to ALM risk

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/director-alm-analytics-and-applied-research-at-rbc-f7231c

Source: https://jobsbylevel.com/jobs/director-alm-analytics-and-applied-research-at-rbc-f7231c

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