Senior Manager, BFS Data Innovation and Risk Analytics - GRM

Key Skills

Analytical and Problem solving, Data Warehousing, Jupyter Notebook, Python Programming, Snowflake, SQL, UI design, UX design

Job Description

As part of the Group Risk Management (GRM) team, the Senior Manager, BFS Data Innovation and Risk Analytics, is accountable for the further development, implementation, integrity, and evolution of GRM Credit Portfolio and Workflow data models.

GRM - Portfolio Risk Oversight (PRO) group provides independent and effective monitoring, oversight, and communication on the nature/extent of material risks for Business Financial Services (BFS) portfolio.

The Senior Manager will provide the data expertise to enhance our core data models and deepen our understanding of the GRM Commercial Business unit’s operational efficiency and credit capabilities.

The employee is expected to proactively seek out and identify potential gaps in reporting, new sources of data, anticipate change and formulate, recommend, and implement oversight solutions.

The employee is also responsible for ad hoc analytics, management of the PRO's data ecosystem, and the development and maintenance of a suite of risk reporting and dashboards.

The PRO team prides itself for best-in-class data & analytics stack, innovative approach in risk management, high quality work with significant impact across risk and business, and continuous interaction with other groups, and senior management. Our vision is to leverage our data infrastructure and innovative data capabilities to drive forward-looking risk insight.

We are looking for a bright committed and high-performing individual to drive PRO's data initiative. The incumbent is expected to have strong analytical/quantitative, financial and business acumen, and communication skills.

What will you do?

• Acquire data from multiple data sources as Enterprise Data Warehouse (EDW), Snowflake and Enterprise Data Lake (EDL) to enrich PRO’s data ecosystem.

• Transform and summarize raw data into aggregated data assets using both traditional database tools and cutting-edge big data technologies (structured or unstructured data).
• Automate repetitive processes and dashboards using Python / Jupyter Notebook.
• Communicate clear and concise results to PRO leadership and/or partners across business and risk.
• Develop in-depth understanding of credit risk across industries or credit products within BFS.
• Provide analytical support on Ad Hoc requests originating from stakeholders in business and GRM teams, and senior management.
• Collaborate internally with the broader PRO team on other team initiatives or mandates such as creating reporting dashboards, deep-dives, and data-pipelines.

What do you need to succeed?

Must-have

• Degree in quantitative disciplines such as Mathematics, Statistics, Economics, Computer Science, or other fields that provide excellent exposure to quantitative/statistical methods.
• Typically, 3+ years of experience in data analytics, data science.
• Strong data manipulation capability with SQL, Python, or other programing tools; expertise with MS Office Suite.
• Strong written and verbal communication with an ability to convey complex concepts effectively and translate results into actionable and relevant insights to intended audience.
• Familiarity with Commercial business, credit products, and possess financial acumen.

Nice-to-have

• Advanced Degree (master’s or PhD) in quantitative field of study – to demonstrate capability for critical thinking and data analysis.
• Proven ability to manage multiple priorities, execute decisions quickly, and deliver on tight timeline in a fast-paced environment.
• Expertise in navigating RBC internal data: Enterprise Data Warehouse, Credit Risk Assessment (Newton) Data, Wholesale Credit Risk Data (WCRD), and Origination System Data (Synergy).
• Demonstrated leadership in cross-functional environment.
• Flexibility and creativity in problem solving, including strong abilities of innovation and pathfinding.

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, fair compensation, commissions, and stock where applicable

• Leaders who help 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

Job Skills

Analytical Support, Data Warehousing (DW), Management Reporting

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:

2024-11-27

Application Deadline:

2024-12-14

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.