Senior Analyst, Enterprise Model Risk Management

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.

• 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 time frames and complied with regulatory requirements, model risk policy and model operating standards

• 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 Mat Lab 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

• 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

• 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

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:

Final date to receive applications:

Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications date above