Senior Manager, Model Validation and Credit Strategy Expert

4 weeks ago

Toronto, Ontario, Canada Royal Bank of Canada> Full time

Job Summary

This position will report to the Director, Model Validation and Credit Strategies. The position will be responsible for completing model validations of Credit Risk models developed for use in Retail Credit and Small Business strategies. In addition, the position will also support the effective challenge and validation of credit strategies supported by GRM in its second line of defense role. This will be a unique opportunity to learn and experience all facets of the model and credit strategy life cycle.

Key Responsibilities

  • Review credit strategies and provide effective challenge for strategy proposals for Retail Credit Acquisition and Account Management strategies. Engage senior management and GRM partners as required to ensure effective risk oversight
  • Validate Credit Risk models in accordance with Enterprise Model Risk Policy. Responsible for documentation related to new and existing models (annual assessment and re-validation, model updates, issue closure)
  • Monitor existing models and strategies, identifying potential opportunities, weaknesses and limitations. Perform ad-hoc analysis as required to support recommendations to improve model and strategy performance
  • Continue to develop technical skills and leverage best practices to assist in model validation and credit strategy reviews. Explore new methodologies and tools to enhance models and strategies to drive innovation in credit strategy and model validation

Requirements

  • University Degree in a quantitative field of study (e.g. mathematics, statistics, finance, computer science, or related field)
  • 5+ years working experience in advanced statistical methods (logistic/linear regression, survival analysis, optimization, time-series forecasting, supervised/unsupervised machine learning) and/or credit strategy development
  • Experience in the development of data driven credit strategies including understanding of credit risk fundamentals and financial modelling.
  • Expertise in data manipulation on large datasets with advanced programming skills (SQL, SAS, Python, R, Spark), including relevant statistical, machine learning, and deep learning libraries (pandas, numpy, scikit-learn, tensorflow/pytorch, etc.). Good foundations in big data frameworks (Apache Spark, Hadoop, Hive, etc.).
  • Proficiency in Microsoft Office products (Excel, Word, and PowerPoint)
  • Exceptionally strong conceptual, analytical and problem-solving skills combined with strong written and verbal communication skills in order to articulate conclusions
  • Proven track record delivering high quality and accurate work with the ability to multitask and shift priorities as required

What We Offer

  • A comprehensive Total Rewards Program including bonuses and flexible benefits
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in an agile, collaborative, progressive, and high-performing team
  • The opportunity to interface with executives from many different parts of the organization

Job Skills

Client Counseling, Competitive Markets, Critical Thinking, Financial Instruments, Financial Regulation, Investment Risk Management, Long Term Planning, Quantitative Methods, Risk Management

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