Senior Manager, Retail Risk Modeling - Automotive Finance

The incumbent will be responsible for managing, monitoring, and developing predictive risk models that support automotive finance credit strategies, as well as other retail and small business 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 automotive finance 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?

• Develop and maintain credit risk models that support the credit decisions related to RBC's automotive finance businesses for 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, car values, and market dynamics.
• Leverage strong coding skills, machine learning tools and advanced statistics to construct efficient prediction systems, to select predictive features, and to optimize different 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 (annual assessment and re-validation, model updates).

What do you need to succeed?

Must-have:

• Undergraduate degree in computer science, quantitative finance, mathematics, statistics or engineering, with at least 5 years of working experience in related credit risk modeling roles.
• Understanding of personal lending business, especially automotive finance business, subprime lending, and automotive lending market.
• Familiarity with third-party external data used in credit risk modeling (such as credit bureaus) and in automotive finance analytics (such as DealerTrack).
• 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.
• High-level experience on working with on large datasets (ingestion, processing, merging and aggregation of data), with fluency in both SQL and big data technologies (Hadoop, Spark).
• Strong Python coding skills to support automation and efficient end-to-end model scoring/implementation.
• Experience in code sharing and version control solutions (GitHub).
• Ability to work with UNIX command line.

Nice to have:

• Master degree in computer science, quantitative finance, mathematics, statistics or engineering
• Hands-on experience with cloud infrastructure (S3, AWS).
• Knowledge of C++ and prior development of large-scale simulation.
• Knowledge of other programming languages such as R, Java, Scala, or SAS.
• Prior model development 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.

• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work

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 MANAGEMENTRegularSalaried2025-01-242025-02-08

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