Senior Analyst, Enterprise Model Risk Management at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sas, Sql, Excel, Python, Matlab, Data Reconciliations, Quantitative Analysis, Statistical Techniques, Model Validation, Risk Quantification, Back Testing, Benchmarking, Credit Risk Systems, Basel Parameter Estimation, Unix, Teradata

Industry

Financial Services

Description

Job Description What is the opportunity? As Senior Analyst, Enterprise Model Risk Management in our Group Risk Management (GRM) team, you will execute and document validation of the Bank’s enterprise-wide credit risk rating systems and methodologies, with focus on Retail and Wholesale credit risk systems including wholesale, retail, and margin lending parameters (Probability of Default (“PD”), Loss given Default (“LGD”) and Exposure at Default (“EAD”)) used in both regulatory and economic capital. You will develop and implement tools and methodologies required to underpin credit risk systems and parameters validation, and provide insightful robust analyses of credit risk systems including risk quantification validation. What will you do? Perform ongoing Wholesale and Retail credit risk systems including acquisition & account management models as well as parameters validations and provide insightful analysis of validation results Perform a wide range of data reconciliations and analyses, e.g. organizing, interpreting and analyzing data using various statistical techniques catered for validation purposes Execute and document appropriate quantitative and qualitative tests, review of the logic and conceptual soundness of credit risk rating systems, acquisition & account management models, as well as parameters and their inputs, accuracy, sensitivity, back testing, benchmarking etc. Develop and enhance approaches tailored to timelines and data availability, utilizing detailed or 80/20 solutions, and quantitative and/or qualitative approaches, as appropriate Deliver validation findings and elicit feedback and remediation action plans / solutions from model stakeholders Ensure project and risk objectives are accomplished within approved timeframes and complied with regulatory requirements, model risk policy and model operating standards What do you need to succeed? Must-have Graduate degree in a quantitative discipline such as computer science/information system, statistics, econometrics and/or a relevant professional qualification Understand various data system structures/processes and how they affect the inputs and outputs of credit risk validation data Ability to communicate, verbally and in writing, complex concepts to a non-technical audience Strong conceptual, analytical, detail-oriented and problem solving skills Strong computer skills - SAS, SQL and Excel required; Python and MatLab are essential Ability to work with large volume of data and various IT infrastructures Execute with urgency while maintaining quality and efficiency Adapt to shifting priorities, coupled with a sense of urgency Works well in teams 2+ years of analytical and quantitative experience with a financial institution, in a related role such as a model developer/validator, data miner/analyst, or a risk manager Nice-to-have Ability to work in Unix, Teradata Data Warehouse and/or Hive Data Lake environments Exposure to credit risk system design and Basel parameter estimation is an asset Proactive learning and working skills What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation Leaders who support your development through coaching and managing opportunities Work in a dynamic, collaborative, progressive, and high-performing team Job Skills Client Counseling, Competitive Markets, Critical Thinking, Financial Instruments, Financial Regulation, Investment Risk Management, Long Term Planning, Quantitative Methods, Risk Management Additional Job Details Address: ROYAL BANK PLAZA, 200 BAY ST:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: GROUP RISK MANAGEMENT Job Type: Regular Pay Type: Salaried Posted Date: 2026-02-22 Application Deadline: 2026-03-08 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion and Equal Opportunity Employment At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Responsibilities

The Senior Analyst will execute and document the validation of the Bank’s enterprise-wide credit risk rating systems and methodologies, focusing on retail and wholesale credit risk parameters like PD, LGD, and EAD. This role involves performing ongoing model validations, executing quantitative and qualitative tests, and delivering validation findings to stakeholders to elicit remediation action plans.