Senior Manager, Data Analytics
RBC
Toronto, Ontario, Canada
14h ago

What is the opportunity?

As RBC evolves to respond to new opportunities and challenges, Internal Audit is evolving too. We are transforming our approach to continue providing valuable assurance, advice and insight, while proactively adding value to RBC.

Using the power of data and leading-edge technology, we strive to be a trusted enterprise-wide partner, providing oversight and advisory services that add value to and support the strategic objectives of the Bank.

In RBC’s Internal Audit group, a background in audit is not a requirement; we’re looking for exceptional people who have a passion for learning and development, and a strong interest in increasing their knowledge of the organization.

We seek self-motivated professionals who are able to work and learn independently, communicate and collaborate effectively with others at all levels in the organization, and who thrive on tackling challenging issues and creating novel solutions.

How will you create an impact?

Through data, you’ll help internal stakeholders successfully identify, mitigate, or rectify risk, creating significant value to the business.

Beyond providing assurance and guiding auditors in their work, our data professionals challenge existing structures and identify opportunities for the business to strengthen their environment in alignment with their strategies.

How will we help you grow?

This role will provide you with the opportunity to develop your expertise in a broad section of the bank supporting businesses and functions (Group Risk Management, AML, Compliance, Finance, SOX, HR, Credit Risk and Capital Markets) by building Data Analytics and creating insights for key business partners.

You will get to work with and learn from our extensive global network of people, including risk management professionals, data scientists, data engineers, ecosystem engineers, and business subject matter experts.

You will have access to frequent training opportunities, coaching and mentorship, which will allow you to build upon the knowledge and skills you bring to RBC.

RBC Internal Audit leverages a unique perspective with a coordinated view across the entire business to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities.

We connect intelligence to protect and enable RBC.

What will you do?

  • Responsible for building and supporting data analytics from concept to production and maintenance while leveraging existing tools and / or recommending new technologies within the IA Ecosystem
  • Collaborate with data scientists, product managers and engineers to design, develop and deploy data solutions within the IA Ecosystem
  • Manage, optimize, oversee and monitor data / model pipelines and UI used to inform various stakeholders
  • Gather details from business and stakeholders in order to determine project scope and expected outcome and build data products accordingly
  • Effectively communicate technical concepts through oral and written skills across cross-functional groups
  • Design innovative approaches to assessing risks by collaborating with experts across the enterprise and leveraging your inquisitive nature and desire to learn; and,
  • Prepare large varied datasets and implement statistical / machine learning models using Python
  • What do you need to succeed?

    Must have

  • Expertise in cleaning, analyzing, and visualizing data using Python
  • Strong architectural / design based programming skills, experience with building ETL flows using SQL, fundamental understanding of data flow and handling
  • Good sense of UX / UI design and visualization for translating business user stories to working prototypes with Tableau
  • Ability to lead brainstorming sessions and ideate analytics solutions within the context of a financial institution
  • Experience working with a variety of stakeholders and explaining technical concepts to a non-technical audience
  • Nice to have

  • An Undergraduate or Post-Graduate degree in computer science, engineering or related field (STEM)
  • Working understanding of machine learning models and libraries (Pandas, Sci-kit learn etc.)
  • Working knowledge of Financial Institutions, Audit, Capital Markets, and Financial Institution Functions
  • You're curious and invest your energy to learn, innovate and discover new ideas
  • What is 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 and competitive compensation;
  • Leaders who support your development through coaching and managing opportunities;
  • Ability to make a difference and lasting impact;
  • Flexible work / life balance options;
  • Work in a dynamic, collaborative, progressive, and high-performing team; and
  • Opportunities to do challenging work.
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