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Job Summary
Job Description
What is the opportunity?
RBC Home Equity Financing (HEF) is the leading lender of residential mortgages in Canada with over $400 billion in assets. As the Manager, Data Analytics within the HEF Pricing Team, you will leverage advanced analytics to provide senior leadership with insights into the impact of pricing strategies on the HEF portfolio. You will maintain a robust reporting package focused on the pricing aspect of the HEF business to drive key decisions with a high degree of impact. Additionally, you will have the opportunity to collaborate with data science teams to support the development of predictive models that enhance pricing decisions. You will also focus on automating reporting processes and optimizing pricing tools to support continuous improvement and efficiency.
What will you do?
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Support and execute Customized Pricing process, leveraging optimization tools to delivery pricing strategies that align with market conditions and business objectives
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Build and maintain reporting dashboards to measure the success of customized pricing strategies, providing performance insights and strategic recommendation
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Collaborate with the HEF Pricing Team to leverage advance analytics and performance metrics for early identification of trends and anomalies in pricing strategies
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Maintain existing reports and dashboard on a regular basis, while proactively identify opportunities to enhance user experience and automate reporting processes for greater efficiency
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Leverage Python to enhance and support web application that supports pricing process
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Migrate existing legacy code into Python to enhance reporting process
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Collaborate with data science team to support the development of predictive models by providing relevant data inputs and gaining insights into the modelling process to enhance data-driven pricing decision
What you need to succeed?
Must Have:
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2+ years of experience in an analytical and reporting role
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Strong proficiency in Python and SQL, with experience developing and optimizing complex queries
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Hands-on experience with data visualization tools such as Tableau and PowerBI
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Advance proficiency in business analytics, including Excel, for in-depth data manipulation and analysis
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Strong analytical and problem-solving skills, with a passion for contributing to a dynamic team environment
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Undergraduate degree in a quantitative discipline (e.g. Computer Science, Mathematics, Statistics)
Nice to Have:
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Experience with SAS for advance data analysis
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Experience in A/B testing or other experimentation methods to evaluate and optimize business strategies
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Familiarity with data science and predictive modelling concepts
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Previous experience within the financial industry, with a strong passion for leveraging data to drive impactful business decision
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.
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Ability to make a difference and lasting impact
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Work in a dynamic, collaborative, progressive, and high-performing team
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Opportunities to do challenging work
Job Skills
Business Analytics, Critical Thinking, Data Analysis, Teamwork
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:
PERSONAL & COMMERCIAL BANKING
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2024-11-18
Application Deadline:
2024-12-02
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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200 Bay Street, Toronto, Ontario, Canada, M5J 2J5
