2023 Grm, Fall Global Risk Analytics (4 Months)

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Job Title

2023 GRM, Fall Global Risk Analytics (4 Months)

What is the opportunity?

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.

Given the large size of market data, data analytics (e.g., using advanced techniques such as machine learning) are needed to provide business insights. In addition, having an intelligent data visualization platform would bring the analytical presentation to the next level. As a result, GRA is developing a Dashboard web application for this purpose. This web application would serve as a centralized platform to host various data analytics dashboards.

Further, due to increasing importance of assessing the impacts of climate change to financial institutions, GRA is also building expertise in climate risk analytics to support RBC’s various climate risk stress testing and scenario analysis mandates (e.g., CCAR in US, ICAAP in UK). In particular, GRA has the model development ownership for several regional 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 a unified platform to onboard different “climate risk + machine learning” 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 and machine learning applications. The candidate will learn data analytics and machine learning with applications in climate risk.

What will you do?

• Identify use cases of the open-source platforms.
• Assist to design and implement Python-based tools for climate risk related applications.
• Assist to research open-source data and analytics platforms, such as OS-Climate, Oasis, Climate Analytics CIE, WRI Aqueduct, World Bank CCKP.
• Make presentation to senior people in risk

What do you need to succeed?

Must-have

• Knowledge about machine learning, data analytics, and data visualization
• Ability to communicate technical matters in written and oral forms
• Strong programming experience in Python and SQL.
• Team players to collaborate and innovate

Nice-to-have

• Interest in learning about emerging data and techniques to assess climate risk impact.
• Understand of the big picture regarding how risk function works in banks
• Knowledge of financial products in trading book and banking book.

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.

• Opportunities to do challenging work and make a difference
• Opportunities to building close relationships
• Leaders who support your development through coaching and managing opportunities
• Work in a dynamic, collaborative, progressive, and high-performing team
• Ability to make a difference and lasting impact

Job Summary

Apply data analytics and programming skills to empower our climate risk analytics capability. The intern student will be involved in researching climate risk methodology and developing Python-based tools for climate risk related analytics and machine learning applications.

Address:

TORONTO, Ontario, Canada

City:

CAN-ON-TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Group Risk Management

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2023-05-18

Application Deadline:

2023-06-18

Inclusion and Equal Opportunity Employment

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