You must have strong Python skills, know ML and data analytics, and be able to communicate technically. Team player with interest in learning about climate risk and bank risk functions. Knowledge of financial products is a plus.

You will research data platforms, design Python tools for climate risk, and present to senior risk professionals at RBC as a GRM, Climate Risk Intern.

Data

Canada

Toronto

Large

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. See how at rbc.com/community-social-impact.

Finance

Banking

<ul><li>Global Risk Analytics (GRA) is the center of expertise for models used in risk management. This includes risk analytics for market risk, counterparty credit risk and emerging risk. GRA’s analytics innovation team focuses on emerging risks, including machine learning and climate analytics.</li><li>Due to increasing importance of assessing the impacts of climate change to financial institutions, GRA is building expertise in climate risk analytics to support RBC’s various climate risk stress testing and scenario analysis mandates (e.g., B-15 in Canada, ICAAP in UK, CCAR in US). GRA has the model development ownership for several climate risk scenario analysis models, covering both transition risk (posed to clients in transition to low-carbon economy) and physical risk (posed by acute weather events) for different asset classes (e.g., corporate bond, municipal bonds, real estate, and wholesale loans).&nbsp;</li><li>Climate analytics is an emerging field. Institutions around the world (e.g., regulators, banks, vendors, etc.) are grappling with the challenges in how to enhance the data, scenario design, and methodology. At this stage, GRA is currently developing climate risk modules, and potentially utilizing open-source data (if deemed appropriate) for research purposes.</li><li>GRA is seeking an individual who is interested in applying data analytics (including machine learning) and programming skills to empower our climate risk analytics capability. The intern student will be involved in researching open-source data platforms for climate risk and developing Python-based tools for climate risk related analytics applications. The candidate will learn data analytics and machine learning with applications in climate risk.</li></ul>

Global Risk Analytics (GRA) is the center of expertise for models used in risk management. This includes risk analytics for market risk, counterparty credit risk and emerging risk. GRA’s analytics innovation team focuses on emerging risks, including machine learning and climate analytics.Due to increasing importance of assessing the impacts of climate change to financial institutions, GRA is building expertise in climate risk analytics to support RBC’s various climate risk stress testing and scenario analysis mandates (e.g., B-15 in Canada, ICAAP in UK, CCAR in US). GRA has the model development ownership for several climate risk scenario analysis models, covering both transition risk (posed to clients in transition to low-carbon economy) and physical risk (posed by acute weather events) for different asset classes (e.g., corporate bond, municipal bonds, real estate, and wholesale loans). Climate analytics is an emerging field. Institutions around the world (e.g., regulators, banks, vendors, etc.) are grappling with the challenges in how to enhance the data, scenario design, and methodology. At this stage, GRA is currently developing climate risk modules, and potentially utilizing open-source data (if deemed appropriate) for research purposes.GRA is seeking an individual who is interested in applying data analytics (including machine learning) and programming skills to empower our climate risk analytics capability. The intern student will be involved in researching open-source data platforms for climate risk and developing Python-based tools for climate risk related analytics applications. The candidate will learn data analytics and machine learning with applications in climate risk.

2024 Fall - GRM, Climate Risk Intern

Requirements

Responsibilities

RBC

Mission & Purpose