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Senior Manager/ Manager, Risk Modeling and Machine Learning

2 months ago


Toronto, Ontario, Canada Royal Bank of Canada Full time
Job Summary

We are seeking a highly skilled Senior Manager to join our Risk Modeling and Machine Learning team. As a key member of our team, you will be responsible for managing, monitoring, and building predictive risk models that support retail and small business Credit Strategies in Personal banking.

Key Responsibilities
  • Develop predictive risk models that support credit decisions in Portfolio Management and Credit Strategies (adjudication, account management, and collection)
  • Responsible for end-to-end project management, continuous interaction with key stakeholders, and comprehensive model documentation
  • Resolve issues raised by independent validation, Internal Audit, and ongoing model monitoring
  • Responsible for documentation related to existing models (annual assessment and revalidation, model updates)
  • Monitor existing models, identifying potential weaknesses and limitations, conduct deep dives if necessary
  • Explore and leverage best practices in model development and management
  • Make decisions on technical details around the modeling solution, development, ongoing management, and deployment of models
Requirements
  • University Degree, preferably in computer science, actuarial science, mathematics, statistics, physics, engineering, or a related quantitative field
  • 4+ years of working experience in advanced statistical methods (logistic/linear regression, survival analysis, optimization, time series forecasting, supervised/unsupervised machine learning)
  • Expert in data manipulation on large datasets with advanced programming skills (SQL, SAS, Python, R, Spark)
  • Exceptionally strong conceptual, analytical, and problem-solving skills combined with strong written and verbal communication skills, especially in explaining complex concepts to a non-technical audience
Preferred Qualifications
  • Financial Risk Manager (FRM) / Chartered Financial Analyst (CFA) / Society of Actuaries (SOA) designation is preferred
  • Knowledge of bank retail products and credit lending processes, working experience with financial and credit bureau information
  • Knowledge on data access, data modeling, data architecture, and data storage techniques
  • Experience in automation and scheduling of data pipeline for end-to-end modeling solutions
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