What is the opportunity?

As the Senior Manager, Product Analytics, you will be responsible for supporting the analytics and data needs of the Personal Lending Product team. This includes providing actionable insights, data-driven product strategy, and recommendations to senior leadership to drive growth and profitability.

What will you do?

• Support the analytics needs of the PL (Personal Lending) business, including developing a deeper understanding of segment economics and customer behaviour, support for business cases, deep dives on new product innovation and special projects

• Manage the PL data infrastructure and deliver concise, timely and insightful reporting to senior management on relevant matters relating to the business including acquisition, retention, growth, engagement, and market share.

• Forecast modeling of application volumes, booking rates and other key metrics by product and channel to support Personal Lending senior management and other stakeholder groups including OMNI, Credit Adjudication, Operations and Finance

• Work closely with partner groups to provide analytics and required reports for critical initiatives (strategy, execution, performance monitoring and refinement) for all PL products

• Provide ad hoc analysis with actionable insights to enable strategic, fact-based discussions and facilitate better decision-making within PL

What do you need to succeed?

Must have:

• 3+ years related work experience in analytics and financial modelling

• Programming experience to extract data and complete complex analytics. SAS / SQL required. R, Python, etc. preferred

• Experience developing reporting and dashboards using Tableau or similar software

• Ability to demonstrate proficiency for critical thinking and strategic analysis

• Strong written and verbal communication skills, leveraging data and insights to tell a story

• Excellent collaboration skills to build and cultivate strong working partnerships with business partners and other stakeholders

Nice to have:

• Degree in a quantitative field is preferred but not required (e.g. Engineering, Physics, Mathematics, Statistics, etc.)

• Previous experience in credit risk including risk modeling and credit strategy development

• Knowledge and experience developing statistical models including linear & logistic regression, survival models, decision trees, neural nets, cluster analysis, etc. and applying their output in practical strategies

• Data strategy experience, data pipeline automation

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

Communication, Critical Thinking, Group Problem Solving, Knowledge Organization, Long Term Planning, Problem Solving, Product Development Lifecycle, Product Manufacturing, Product Services, Python for Data Analysis, SAS Analytics, Strategic Thinking, Tableau (Software)

Additional Job Details

WATERPARK PLACE, 20 BAY ST:TORONTOTORONTOCanada37.5Full timePERSONAL & COMMERCIAL BANKINGRegularSalaried2025-06-022025-06-17

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.