Senior Manager, Retail Risk Modeling

The incumbent will be responsible for managing, monitoring, and developing predictive risk models that support retail and small business Credit Strategies in Personal & Commercial banking.

What is the opportunity?​

The Retail Risk Modeling team specializes in leveraging large datasets to generate new insights and make fact-based decisions on how to profitably grow loan originations by balancing risk, pricing, operational efficiency, and customer impact.

As a Senior Manager on the team, you will analyze, design, and implement solutions to support real-time decision making for RBC's lending business lines (credit cards, home equity financing, various unsecured loans, automotive financing, small business). You will have the opportunity to develop deep understanding of all of RBC's retail banking product offerings through advanced data analytics. You will be responsible for the end-to-end development of models from data extraction to its implementation while maintaining continuous interaction with key stakeholders within Personal and Commercial Banking.

What will you do?

• Developing and maintaining credit risk models that support the credit decisions related to RBC's various lending business lines across all risk spectrums (from prime to subprime).

• End-to-end project management, continuous interaction with key stakeholders (strategy, implementation, business and model validation partners).

• Extract, clean, validate, and analyze usable data from multiple data sources/providers to quantify borrower behavioral patterns and market dynamics.

• Construct prediction systems through the usage of machine learning tools and advanced statistics to select features, create and optimize classifiers or regression models.

• Present result in a clear and concise manner for non-technical stakeholders and comprehensive model documentation.

• Responsible for resolving issues raised by independent validation, Internal Audit and ongoing model monitoring.

• Accountable for existing models in production and responsible for documentation related to existing models.

What do you need to succeed?

Must-have:

• Undergraduate degree in computer science, finance, mathematics, statistics, or engineering, with at least 5 years of working experience in related credit risk modeling roles.

• Hands-on experiences with large datasets (ingestion, processing, merging and aggregation of data), with fluency in both SQL and big data/cloud technologies (Hadoop, PySpark, S3).

• Strong Python coding skills to support automation and efficient end-to-end model scoring/implementation.

• Strong understanding and working knowledge of advanced statistical methods and machine learning techniques for classification and regression tasks.

• Demonstrated knowledge of survival analysis and time series analysis.

• Familiarity with third-party external data used in credit risk modeling (such as credit bureaus).

• Experience in code sharing and version control solutions (GitHub).

• Ability to work with UNIX command line.

Nice to have:

• Master degree in computer science, finance, mathematics, statistics, or engineering.

• Knowledge of C++ and prior development of large-scale simulation.

• Knowledge of GenAI use cases in retail lending.

• Knowledge of other programming languages such as R, Java, Scala, or SAS.

• Prior model development experiences for IFRS9, banking book stress testing or capital measurement purposes.

What's in it for you?

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

• 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

Additional Job Details

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTORONTOCanada37.5Full timeGROUP RISK MANAGEMENTRegularSalaried2025-01-242025-04-08

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.