Manager, Cards Credit Strategy and Data Analytics
Manager, Cards Credit Strategy and Data Analytics
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Job Description
Job Summary
Job Description
What is the opportunity
The RBC Credit Strategy team is hiring a Manager Cards Credit Strategy & Data Analytics. You will use analytics to develop credit strategies to grow RBC Revenue and manage risk to ultimately optimize portfolio profitability. This includes experimental design statistical analysis profitability modelling data mining and analytics. The successful candidate will be responsible to take initiatives through the various phases of ideation analysis recommendation for approval and implementation.
The Manager Cards Credit Strategy & Data Analytics will use advanced analytics to develop credit strategies to grow RBC revenue and manage risk to ultimately optimize portfolio profitability.
What will you do
Use data mining profitability modelling and business intuition to inform lending decisions for cards credit programs such as Line Management and Transaction Authorizations
Monitors and analyzes investment credit risk exposures on a short and long term basis
Develops complex quantitative and analytic credit risk metrics and tools to help manage measure and monitor credit risk.
Build financial models to simulate financial outcomes of strategy decisions measure true outcomes against expectations and drive continuous improvement from findings
Support the implementation and ongoing integrity of credit strategies within appropriate systems (e.g. Pathfinder TRIAD)
Engage Senior Management and Group Risk Management partners to refine and execute strategies
What do you need to succeed
Must have:
Expert problem solving skills including understanding of credit risk fundamentals and financial modelling
Skilled in SQL Excel (Pivot tables) Python
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
Proven experience in delivering high quality and accurate work with the ability to multitask and shift priorities
University degree in a quantitative field of study (e.g. statistics engineering economics finance computer science) to demonstrate ability for critical thinking data analytics and financial modeling
Nice to have:
Experience with adaptive control software (e.g. TRIAD Probe) and credit scoring technologies
Equally effective and conversant in business and technical environments
Whats 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 competitive compensation commissions and stock where applicable
Leaders who support 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
Job Skills
Business Data Analysis Communication Credit Analysis Critical Thinking Database Queries Data Visualization Decision Making Quantitative Methods Risk ManagementAdditional Job Details
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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.
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Required Experience:
Manager
Employment Type
Full-Time
