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Added 3 mins ago
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CCLIM - Quantitative Equity

Quantitative Equity Alpha Research Intern

Vancouver, BC, Canada

The monthly salary for this position is $11,000.

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Job details

Pay: The monthly salary for this position is $11,000.
Posting language: English
Posted: Sep 30, 2026

Original job description

We are looking for research interns to join our Quantitative Equity team for 4 to 8 months starting in January or May 2027. We are a top-performing quant fund that manages over $111 billion in financial assets, with a track record spanning more than two decades. As a privately owned firm, we take a long-term perspective, investing in lasting business success and the long-term careers of our people.

What You Will Do

Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. As an intern, you will work on a real investment research project that requires thinking deeply about the factors that determine business success and modeling the complex dynamics of capital markets, including how information is created, interpreted and reflected in prices. Your work will have a direct impact on investment outcomes.

You will own your research project from beginning to end, including idea generation, signal construction, backtesting and calibration. There is plenty of opportunity to collaborate with your peers and receive mentorship from senior members of our research team.

Our team works with:

State-of-the-art techniques, including reinforcement learning, large language models, AI agents and econometric methods

Large financial and alternative data

Advanced technologies, such as high-performance computing infrastructure and custom research systems

What You Bring

Exceptional quantitative and technical ability: a strong foundation in mathematics, statistics, computer science, economics, finance or a related discipline

An interest in finance: an interest in the domain is essential; an understanding of capital markets and the drivers of business success is valuable but not required

Evidence of exceptional ability and achievement: demonstrated through academic, professional, research, competition, entrepreneurship, or other accomplishments

Students in their final internship term are preferred. To apply, please submit your resume, cover letter and transcript.

The monthly salary for this position is $11,000.

We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact talentacquisition@cclgroup.com if you require accommodation.

AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.

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More about this job

Responsibilities

You will lead the development of investment models and strategies by owning research projects from idea generation to backtesting. Your work involves modeling complex capital market dynamics and utilizing state-of-the-art AI and econometric techniques to impact investment outcomes.

Requirements

Candidates must possess exceptional quantitative and technical ability with a strong foundation in mathematics, statistics, computer science, economics, or finance. An interest in capital markets and demonstrated achievement in academic, professional, or research settings is required.

Skills

Quantitative research
Mathematics
Statistics
Computer science
Economics
Finance
Reinforcement learning
Large language models
AI agents
Econometric methods
High-performance computing
Signal construction
Backtesting
Calibration
Data analysis

Visa sponsorship

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Keywords

Quantitative Equity
Alpha Research
Investment Models
Capital Markets
Reinforcement Learning
Large Language Models
AI Agents
Econometric Methods
High-Performance Computing
Signal Construction
Backtesting
Calibration
Alternative Data
Mathematics
Statistics
Computer Science
Economics
Finance
Quantitative Research
Investment Research

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