TORONTO, Ontario, Canada
1 day ago
Manager, Credit Card Strategy and Data Analytics

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

#LI-Post

#LI-Hybrid

#TechPJ

Job Skills

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

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:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-01-30

Application Deadline:

2025-02-28

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.
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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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