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Senior Manager/ Manager, Risk Modeling and Machine Learning
2 months ago
Job Summary
Job Description
What is the opportunity?
RBC Risk Modeling and Machine Learning team is hiring a Senior Manager. Reporting to Director, Risk Modeling & Machine Learning, you will responsible for managing, monitoring and building predictive risk models that support retail and small business Credit Strategies in Personal banking. You will have the opportunity to explore the latest machine learning algorithms and develop models on state of the art distributed computing infrastructure.
What will you do?
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 & 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 re-validation, 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
What do you need to succeed?
Must-have
University Degree, preferably graduate in computer science / actuarial science / mathematics / statistics / physics / engineering or related quantitative field
4+ years 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 explanation of complex concepts to a non-technical audience
Nice to have
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's in it for you?
We thrive on the challenge to be our best, thinking progressively 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
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
Automation Engineering, Big Data Analytics, Client Counseling, Credit Bureau Reporting, Critical Thinking, Financial Instruments, Financial Regulation, Logistic Regression Models, Machine Learning, Model Development, Python (Programming Language), Quantitative Methods, Retail Banking, Retail Lending, Risk Management, Risk Models, SAS Language, Structured Query Language (SQL), Survival Analysis, Time Series ForecastingAdditional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity:
TORONTOCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
GROUP RISK MANAGEMENTJob Type:
RegularPay Type:
SalariedPosted Date:
2024-09-25Application Deadline:
2024-10-11Inclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.
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