Manager, Transformation & Advanced Analytics

Posted 2 Days Ago
Be an Early Applicant
Wellington, NB
Senior level
Fintech • Insurance
The Role
As a Manager of Transformation & Advanced Analytics, you will leverage AI and machine learning to enhance FSS business transformations through actionable data insights. You'll lead cross-functional initiatives, develop data pipelines, and build data visualization tools, while mentoring team members and driving best practices in analytics and data science.
Summary Generated by Built In

Job Summary

Job Description

What is the opportunity?

As the Manager, Transformation & Advanced Analytics, you will be responsible for advancing the delivery & output quality of FSS business transformation programs by providing actionable data insights and building data-based products.

You will be working cross-functionally with stakeholders from Business, Technology, product, Ops, Risk and Finance. You will work with large and complex data sets to solve a wide array of challenging problems using AI, Machine learning and statistical approaches. Your will be the champion who brings all stakeholder together to drive innovation and contribute with your technical expertise in solution design, implementation and identifying risks.

What will you do?

  • Lead and collaborate with diverse stakeholders to identify business process which can be transformed in FSS by building new data products or pipelines
  • Lead development of AI and Machine Learning models, in individual capacity and by working closely with broader technology team 
  • Work with Risk and governance team to get model approvals, as required
  • Build and improve data pipelines by leveraging automation capabilities of Python
  • Develop dashboards utilizing data visualization tools such as Tableau and Power BI
  • Raise the bar of data science & analytics at FSS, including but not limited to driving data best practices, improving analytical processes, documentation, scaling tools, and mentoring other team members
  • Approx. time allocation:
    • Business problem discovery and solution ideation: 30%
    • AI/ML Model and Data pipeline development: 50%
    • Working with Risk team: 20%

What do you need to succeed?

Must have:

  • Experience in working cross-functionally across business, technology, and risk 
  • 5+ years of experience in advanced analytics and machine learning
  • Expert-level skills in extracting and manipulating large datasets using data querying languages (e.g. SQL), scripting languages (e.g. Python)
  • 3+ years experience implementing data visualization tools, such as Tableau or Power BI
  • Experience in building & scheduling complex data pipelines
  • Ability to work independently with minimal supervision
  • Resourcefulness and a genuine interest in problem solving

Nice-to-have

  • Work as champion for implementing best practices for Jira, confluence and Github

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
  • Opportunities to take on progressively greater accountabilities 
  • Opportunities to building close relationships with clients
  • Access to a variety of job opportunities across business and geographies

Job Skills

Advanced Analytics, Artificial Intelligence (AI), Critical Thinking, Data Pipelines, Data Science, Data Visualization, Machine Learning, Python (Programming Language)

Additional Job Details

Address:

180 WELLINGTON ST W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2024-12-04

Application Deadline:

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Top Skills

Python
SQL
The Company
HQ: Toronto, Ontario
88,000 Employees
On-site Workplace

What We Do

Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 88,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com.‎

We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities.

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