Manager, Cards Credit Strategy & Data Science
Job Summary
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.
Job Description
What is the Opportunity?
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.
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
What's 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 ManagementAdditional Job Details
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