Manager - Retail Risk Modeling

RBC; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A major financial institution in Toronto is seeking a Manager for their Retail Risk Modeling team. The ideal candidate will develop and maintain credit risk models to support various lending business lines, leveraging statistical and machine learning methods. You should possess strong SQL and Python skills, an undergraduate degree in a technical field, and have experience with large datasets. This role offers the opportunity to significantly impact decision-making in a dynamic and collaborative environment.

Benefits

Dynamic and collaborative environment

Opportunities for career progression

Potential for significant impact

Qualifications

• Strong coding skills to support automation and model implementation.
• Extensive experience with large datasets and data processing techniques.
• Excellent English communication skills for stakeholder interactions.

Responsibilities

• Develop and maintain credit risk models for various lending business lines.
• Extract, clean, and analyze data from multiple sources.
• Present analytical results clearly to non-technical stakeholders.

Skills

Strong SQL

Python coding

Data analysis

Machine learning techniques

UNIX command line

Education

Undergraduate degree in a technical field

Tools

SQL

Hadoop

GitHub

Job description

Job Description

What is the opportunity? Join an inclusive, high performing team that is driving outsized results and impact through data!

We sit at the intersection of decades of data, high powered data infrastructure, continuous research, and interesting problems across multiple lines of business. We are in need of smart team players who are passionate about turning data into insights, and enjoy collaborating with partners to build and govern models that enable a multi-billion dollar loan portfolio.

Retail Risk Modeling specializes in leveraging large datasets (decades of data!!) to build models (statistical & machine learning based) to profitably grow loan originations by balancing risk, pricing, operational efficiency, and customer impact. These models are implemented in industry leading systems that enable real-time decision making for millions of customers globally.

As a Manager on the team, you will be a key player in analyzing, implementing, and testing 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 play multiple roles for development of models, from data extraction to its implementation, through to governance and monitoring, 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 various lending business lines across all risk spectrums (from prime to subprime).

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

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

• Present results 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?

We want data scientists that own the end-to-end lifecycle of a model – you must be comfortable sourcing and exploring data, researching statistical and machine learning techniques, translating regulatory requirements into models, and curious about monitoring and continuous improvement of your models. Excellent communication skills are a must – you must be very comfortable taking high complex ideas and distilling them into simple terms. It is not enough just to be a model developer – success in the role means working with multiple stakeholders across the bank, and transforming their vision into outcomes that can be driven by data.

We are curious, we are driven, we work hard and we play hard. We love introducing people to risk modelling, and we are passionate about what we do.

Must-have:

• Undergraduate degree in computer science, finance, mathematics, statistics, engineering, or an equivalent technical field

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

• Experience with large datasets (ingestion, processing, merging and aggregation of data), with knowledge in SQL or big data/cloud technologies (Hadoop, PySpark, S3).

• Understanding of advanced statistical methods and machine learning techniques for classification and regression tasks.

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

• Ability to work with UNIX command line.

• Excellent English-language verbal and written communication skills

Nice to have:

• Master degree in computer science, finance, mathematics, statistics, engineering, or an equivalent technical field

• Domain expertise with any retail or small business banking products

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

• Knowledge of general credit risk management practices and regulations (from industry or from FRM curriculum, for example).

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

• Multiple career paths and progression opportunities

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.

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Additional Job Details

Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: GROUP RISK MANAGEMENT

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-07-22

Application Deadline: 2026-01-17

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