Climate Risk Analyst

4 weeks ago

Toronto, Ontario, Canada Royal Bank of Canada Full time
Job Summary

We are seeking a highly skilled Environmental & Social Risk Measurement & Analytics Specialist to join our team at Royal Bank of Canada. As a key member of our Environmental & Social Risk Measurement & Analytics team, you will play a critical role in identifying, measuring, monitoring, and mitigating environmental and social (E&S) risks at RBC.

Key Responsibilities
  • Support and lead the design and implementation of key climate and E&S risk initiatives by building analytical capabilities supported by research, data analytics, and insights.
  • Calculate RBC's financed emissions across different asset classes within carbon-intensive sectors and set and track progress on net-zero targets.
  • Work with the Director, E&S Model Development to advance RBC's capabilities in measuring financed emissions, setting net-zero targets, and delivering carbon accounting insights across the enterprise.
  • Build analytical tools to enable timely and accurate measurement and monitoring capabilities.
  • Prepare model documentation and support model governance processes.
  • Prepare insightful reports and presentations to enable effective communication with stakeholders.
  • Collaborate with diverse internal stakeholders across business lines and functions to share E&S Risk data and insights, and support risk management, business strategy, and ESG and climate disclosures.
  • Establish an environmental & social risk data hub by leveraging internal and external data to support climate risk measurement and monitoring capabilities.
  • Support the ongoing enhancement of controls & governance related to the execution of climate risk analytics processes and maintain up-to-date documentation.
Requirements
  • Advanced degree in a quantitative discipline such as Computer Science, Econometrics, Finance, Statistics, Data Science, Engineering, Mathematics, or Economics.
  • Experience in working in an analytics team, especially those tasked with solving difficult and/or vaguely-defined problems.
  • Prior experience in applying statistical methods, algorithms, and machine learning models to analyze data and uncover trends, patterns, and insights.
Preferred Qualifications
  • Strong coding abilities.
  • An advanced understanding of programming and querying languages, including SQL and Python.
  • Ability to synthesize data into business insights and communicate these clearly to diverse audiences.
  • Desire and proven ability to build new and innovative approaches to complex problems with minimal direction.
  • Commitment to quality and accuracy with a high level of attention to detail.

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