Manager, Cards Credit Strategy & Data Science

RBC
CA - toronto
November 4, 2024

Job Summary
The RBC Portfolio Management & Credit Strategy team is hiring a Manager, Cards Credit Strategy & Data Science. You will use analytics to develop credit strategies to grow RBC revenue and manage risk to ultimately optimize portfolio profitability.

This includes experimental design, profitability modelling, data mining, analytics, and machine learning. The successful candidate will be responsible to take initiatives through the various phases of ideation, analysis, recommendation for approval and implementation.

What is the Opportunity?

This position will report to a Senior Manager in the Cards Credit Strategy team

What will you do?
Use data mining, profitability modelling and business intuition to design credit strategies and inform lending decisions for cards credit programs
Acquire, transform and summarize data using both traditional database tools and cutting edge big data technologies
Leverage data driven assumptions to model out financial outcomes of credit strategies
Generate learnings to enhance credit strategies using Design of Experiments (DOE), Foundational Testing, Challenger/Champion and other testing methodologies
Develop compelling presentations to implement recommendations based on model results, and drive the approval and implementation of your credit strategies
Lead end-to-end stakeholder engagement with senior management across risk management, product, operations and other groups
Ensure the successful implementation and ongoing integrity of strategies and decision rules within appropriate systems
Measure true outcomes against expectations, driving continuous improvement and learnings from findings

Must have
Expert analytical and problem solving skills including understanding of financial modelling
Proficient in data mining and engineering through SQL, SAS and Python
Experience with modern analytical tools and technology stacks; Python, GitHub, AWS, HDFS, etc.
Experience with data visualization tools such as Python (Matplotlib, Plotly, Seaborn) and Tableau
Ability to design and deliver compelling presentations to senior management and other stakeholders
Strong communication skills and ability to simplify and explain complex technical concepts
Ability to develop effective and collaborative relationships (e.g. with stakeholders, credit bureaus, and remote teams)
Demonstrated abilities for critical thinking and numerical analysis
Proficient in Excel and PowerPoint

Nice to have
University degree in a quantitative field of study (e.g. economics, finance, statistics, mathematics, engineering, computer science, physics)
Experience with credit risk

Whats in it for you?
A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans
Competitive pay and high-earning potential
All the tools, training, and team support you need to grow your career
Flexible work/life balance options

Job Skills
Business Data Analysis, Credit Analysis, Critical Thinking, Database Queries, Data Visualization, Decision Making, Quantitative Methods, Risk Management

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:
2024-10-17 Application Deadline:
2024-11-12

I nclusion 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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