Quantitative Equity Alpha Research

Kibbi Technologies Inc.; Vancouver; On-site; CAD 174,000 - 279,000; Full time

Benefits offered by this job

RRSP matching

Health benefits

Family-building benefits

Year-end bonus

Job summary

Kibbi Technologies Inc. seeks a Quantitative Researcher to advance investment models and strategies within our Vancouver-based team.

You will lead end-to-end research efforts, from idea generation to backtesting and calibration, shaping signals that influence asset pricing and portfolio outcomes. Ideal candidates possess strong mathematical and computational foundations, plus a keen interest in finance and markets.

Qualifications

• Strong foundation in mathematics, statistics, computer science, economics, finance or related disciplines.
• Interest in finance and capital markets is essential; domain knowledge valuable but not required.
• Evidence of exceptional ability demonstrated through academic, professional, research or competition achievements.

Responsibilities

• Own research projects from idea generation to signal construction, backtesting and calibration.
• Collaborate with peers and receive mentorship from senior research team.

Skills

Quantitative ability

Statistics

Computer science

Economics

Finance knowledge

Tools

Reinforcement Learning

Large Language Models

AI Agents

Econometrics

Job description

We are looking for researchers to join our Quantitative Equity team. 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. This 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 projects 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

We welcome applications from candidates with different levels of experience, including new graduates and experienced professionals.

The annual base salary for this position is $125,000–$200,000 for new graduates and will be determined based on experience and qualifications. Our compensation and benefits package includes a substantial variable year-end bonus, RRSP contribution matching, health benefits, and family-building benefits.

Learn more by exploring our website: www.cclimq.com

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 [e-mail] 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.