Manager, Cards Credit Strategy & Data Science

Key Skills

AWS, Data Visualization, Database, Github, HDFS, matplotlib, plotly, Powerpoint, Python Programming, R Programming, SAS, seaborn, SQL, Tableau, UI design, UX design

Job Description

The RBC Credit Strategy team is hiring for a Manager – Cards Credit Strategy & Data Science. You will use advanced 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 will you do?

• Use data mining, profitability modelling and business intuition to inform lending decisions for cards acquisition credit programs
• Optimize the profitability of RBC’s retail credit card portfolio by analyzing, designing, and recommending credit strategies
• Generate learnings to enhance credit strategies using Design of Experiments (DOE), Foundational Testing, Challenger/Champion and other testing methodologies
• Lead end-to-end stakeholder engagement with senior management across risk management, product, operations and other groups
• Support the implementation and ongoing integrity of credit strategies within appropriate systems (e.g. Pathfinder, TRIAD)
• Build financial models to simulate financial outcomes of strategy decisions, measure true outcomes against expectations and drive continuous improvement from findings
• Test new methodologies and tools to enhance models and strategies, and drive innovation within credit strategy frameworks and infrastructure

What do you need to succeed?

Must-have

• 3+ years of progressive analytics experience, preferably performing advanced risk analytics and strategy design for lending products
• Expert problem solving skills including understanding of credit risk fundamentals and financial modelling
• Proficient in SQL, Excel, SAS, Word, and PowerPoint
• 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 develop effective and collaborative relationships (e.g. with stakeholders, credit bureaus, and remote teams)
• Ability to design and deliver compelling presentations to senior management and other stakeholders
• Proven experience in delivering high quality and accurate work with the ability to multitask and shift priorities

Nice-to-have

• People leadership experience leading a team of high performing analysts
• Experience with adaptive control software (e.g. TRIAD, Probe) and credit scoring technologies
• Equally effective and conversant in business and technical environments
• University degree in a quantitative field of study (e.g. statistics, engineering, economics, finance, computer science)
• 3+ years of direct role-related experience

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.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, fair compensation, commissions, and stock where applicable
• Leaders who help your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team

• 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, Communication, Credit Analysis, Critical Thinking, Database Queries, Data Visualization, Decision Making, Quantitative Methods, Risk Management