FAQs
What is the main responsibility of the Senior Manager in Risk Modeling and Machine Learning?
The main responsibility includes managing, monitoring, and building predictive risk models that support retail and small business credit strategies in personal banking.
What skills are required for this position?
Required skills include advanced statistical methods, programming skills in SQL, SAS, Python, R, or Spark, and exceptional conceptual, analytical, and communication skills.
Is a specific educational background necessary for this role?
Yes, a university degree in computer science, actuarial science, mathematics, statistics, physics, engineering, or a related quantitative field is preferred.
What type of experience is necessary for applicants?
Applicants should have at least 4 years of experience in advanced statistical methods and data manipulation on large datasets.
Are there any preferred qualifications for candidates?
Preferred qualifications include financial designations such as FRM or CFA, knowledge of bank retail products, and experience with financial and credit bureau information.
What opportunities for professional growth does this job offer?
The job offers opportunities to interface with executives, work in a collaborative team, and explore the latest machine learning algorithms.
What is the employment status for this job?
The position is a full-time role with salaried pay.
What is the work location for this position?
The work location is at RBC Waterpark Place, 88 Queens Quay W, Toronto, Canada.
What are the work hours for this job?
The work hours are 37.5 hours per week.
When is the application deadline?
The application deadline is October 11, 2024.
Is support for diverse candidates a priority for this company?
Yes, RBC is committed to diversity and inclusion, aiming to build inclusive teams and provide accommodations for candidates with different abilities during the recruitment process.