Job Summary
Job Description
What is the opportunity?
The RBC Credit Strategy team is hiring a Manager, Data Science in Risk Strategy. 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.
What will you do
Use data mining, profitability modelling and business intuition to 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
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 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. statistics, mathematics, engineering, economics, finance, computer science, physics)
Experience with credit risk
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, 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
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work
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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 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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