Data Engineer & Analyst – Climate Risk & Data Strategy
RBC
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Benefits offered by this job
Job summary
RBC is seeking a skilled Data Engineer/Analyst to lead data and systems analysis for our Climate Data Risk & Strategy portfolio. You will source data from multiple internal and external sources, design pipelines, and enable advanced data modeling across the organization.
You will collaborate with ESG & Risk Analytics teams, validate design assumptions with development and QA, and support regulatory and governance needs through robust data architectures.
Qualifications
- 5+ years as a Data Engineer or Analyst, or in a technical/functional/consulting role in software development.
- Strong proficiency in Python (Pandas), PySpark and SQL for complex data analysis.
- Experience with data catalogues, data modeling, and business process modeling in Agile projects.
Responsibilities
- Lead all Data and Systems analysis activities for Climate Data Risk & Strategy projects portfolio.
- Develop detailed knowledge of current-state data feeds for Climate Risk Data Stores and Climate Data Hub.
- Design and implement pipelines for data extraction, transformation, and storage with data lineage and metadata management.
Skills
Education
Tools
Job description
Join our Retail Credit technology team to drive the modernization of enterprise risk systems and climate data initiatives. You'll lead business and data analysis for our Climate Data Strategy and Innovation Technology portfolio—a strategic initiative to source data from multiple data sources – internal and external to RBC, build a robust storage framework, and enable advanced data modeling across the organization.
Join our Retail Credit technology team to drive the modernization of enterprise risk systems and climate data initiatives. You'll lead business and data analysis for our Climate Data Strategy and Innovation Technology portfolio—a strategic initiative to source data from multiple data sources – internal and external to RBC, build a robust storage framework, and enable advanced data modeling across the organization.
This role bridges business requirements and technology delivery, ensuring climate risk and data strategy projects translate complex requirements into actionable solutions for development and QA teams.
- Lead all Data and Systems analysis activities for the Climate Data Risk & Strategy projects portfolio
- Develop detailed knowledge of current-state data feeds for Climate Risk Data Stores and Climate Data Hub, working across PCAF Asset Classes (Residential Real Estate, Commercial Real Estate, Sovereign Debt, Project Finance, Listed Equity, Corporate Bonds, Business Loans, and Unlisted Equities)
- Design and implement pipelines for data extraction, transformation, and storage while ensuring data consistency, lineage, and metadata management to support regulatory and governance needs.
- Determine and map data transformation rules to standardize feeds from multiple sources into Climate Risk engines and Data Stores
- Collaborate with business users to elicit data requirements and demonstrate system functionality
- Create functional, non-functional and data specifications and conduct complex data analysis using AI/LLM models
- Partner with development and QA teams to validate design assumptions, explain requirements, and create test cases and support UAT
- Work with ESG & Risk Analytics teams to build data assets, models and calculation engines to produce Risk Metrics used in RBC Climate Risk Disclosures and to track RBC's exposure to Physical Risk
- 5+ years as a Data Engineer or Analyst, or in a technical/functional/consulting role in software development
- Strong proficiency in Python (Pandas), ‘pySpark’ and SQL for complex data analysis
- Ability with data catalogues, data modeling, and business process modeling and experience working on data projects using Agile methodologies (sourcing, standardization, and aggregation)
- Excellent written and verbal communication skills; ability to document requirements, write specifications, and present findings to business and technical stakeholders
- Bachelor's degree in Engineering, Sciences, Technology, Computer Science, Math, Statistics, or related quantitative field
- Knowledge of climate data initiatives and ESG investment policies/frameworks for financial institutions
- Experience supporting developers with technology stacks such as Linux, Hadoop, Hive, and Spark
- Exposure to using AI/LLM models embedded in tools such as Windsurf and Github Co-Pilot - AI-powered agentic coding assistants for analytical purposes
- Experience with data in the finance, banking, or insurance industries
- 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
Business Appraisals, Business Process Modeling, Commercial Acumen, Communication, Critical Thinking, Group Problem Solving, Interpersonal Relationship Management, Requirements Analysis, Resource Management, Team Management
120 WESTERN PKY:BEDFORD
Bedford
Canada
37.5
Full time
TECHNOLOGY AND OPERATIONS
Regular
Salaried
2026-08-20
2026-09-26
Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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