BC

ESG Co-op/Internship (Winter 2027)

Bci

Victoria · Posted Sep 17

CAD3k/mo Other Onsite
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Location: Victoria, BC

Closing Date: October 1, 2026

Use your research, investment, and data science skills in a fast-growing company where you can have an impact. The British Columbia Investment Management Corporation (BCI) is currently seeking two co-op students/interns for the Winter 2027 work term (Two positions from January to April) to provide ESG (Environmental, Social and Governance) research and support across a range of asset classes and investment subjects.

The ESG co-op/intern will work within our corporate ESG group. BCI is a leader in responsible investing and actively integrates ESG factors to our investment analysis and decision-making process. Successful candidates will work in one of the following two work-streams: 1) ESG Integration & Research, 2) ESG Total Fund Strategy & Risk.

1) ESG Integration & Research – The co-op/intern will support a range of asset classes with a particular focus on public equities, fixed income, private debt and alternative strategies. The co-op/intern will assist the team in conducting ESG research and writing ESG analysis to support investment decisions for all internally managed active funds. The co-op/intern will help prepare and participate in conversations with portfolio companies, policy makers and standard setters to advance ESG performance. This role offers the opportunity to immerse yourself in the investment process from an ESG perspective, conduct valuable ESG research, and contribute creative solutions (both quantitative and qualitative) to the ESG integration process.

2) ESG Total Fund Strategy & Risk – The co-op/intern will support research, analysis, evaluation, and recommendations of systemic ESG risks and investment opportunities.  The co-op/intern will assist in building and maintaining financial models, develop economic scenarios, collect, and analyze financial and ESG data to support investment recommendations and participate in the research and development of new investment strategy initiatives. The team is responsible for evaluating systemic ESG risk and opportunities, their implications on portfolios, asset class, client portfolios and BCI’s total fund. As part of this work, the team is responsible for measuring, monitoring, and making recommendations on mitigation and adaptation strategies as well as new opportunities that may arise.

WHAT YOU NEED TO KNOW

BCI manages a globally diversified portfolio of assets valued at $313.7 billion and is one of Canada’s largest institutional investors. We invest globally to support pension and other funds for more than 30 clients based in British Columbia. We are proud to have been chosen as one of Canada’s Top 100 Employers and BC’s Top Employers. These national and provincial competitions recognize employers who offer exceptional workplaces for their employees.

WHAT YOU WILL BE DOING

Research and analyze ESG risks and opportunities in the current BCI portfolio as well as in the investment universe

Build and maintain financial models and economic scenarios to understand long-term systemic risk impacts to the market and client portfolios

Collect, organize, and analyze ESG data to support investment recommendations and company engagements

Research new investment strategy initiatives, provide recommendations and work collaboratively in a team environment

Conduct research on the United Nations Sustainable Development Goals (UN SDGs) – E.g., research topics for inclusion in the SDI taxonomy

Support day to day team activities including take meeting notes, streamlining processes, and providing support for various research, integration, or stewardship activities

Construct and make improvements to data visualization tools to add value to the investment process

Develop and maintain Python-based data pipelines and analytical workflows – including data ingestion, cleaning, transformation, and analysis of ESG and financial datasets

Apply quantitative techniques (e.g., regression analysis, factor research, scenario modelling) to ESG-related research questions, including climate scenario analysis (e.g., NGFS)

Ad-hoc research projects and tasks as assigned by the team

REQUIRED SKILLS

A fundamental knowledge of basic business, financial statements, and investment-related disciplines is essential

Passion for investing, ESG, and a drive to continually learn about economics/financial markets

Knowledge of finance, capital markets, and economics

Ability to communicate clearly and concisely, both orally and in writing

A dedication to hard work, commitment to the highest ethical standards, attention to detail and an eagerness to learn

Strong research skills combined with analytical and problem-solving abilities

Self-starter: ability to be proactive, resourceful and solution oriented as well as a drive for process improvement

Intellectual curiosity, critical thinking, and strong analytical skills

High proficiency in Microsoft Office Suite (including Excel, Word, Outlook, PowerPoint, OneNote), particularly with advanced Excel skills to process large data sets and present in a concise manner

Working proficiency in Python (pandas, NumPy) and SQL is strongly preferred for data analysis and research workflows; familiarity with Bloomberg, Databricks/PySpark, Plotly/Dash, Git, and BI/visualization tools (e.g., Tableau, Power BI) would be an asset

Demonstrated ability to use AI/LLM tools (e.g., Claude, ChatGPT, GitHub Copilot) effectively as part of a research and coding workflow – including writing clear prompts, critically validating AI-generated outputs, and recognizing when human judgment and methodological rigour are required

Foundational understanding of quantitative methods (e.g., linear regression, statistical inference, factor analysis) would be an asset for quantitative ESG research workstreams

Familiarity with ESG data providers (e.g., MSCI, Sustainalytics, TruValue Labs, FTSE Green Revenues) and climate scenario frameworks (e.g., NGFS, IEA) would be an asset

Proficiency

What they are looking for

Python Sql Excel Pandas Tableau

Details

Work type
Onsite
Compensation
Paid
Remote eligible
No

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