Quantitative Equity Developer Intern

Connor, Clark & Lunn Investment Management; Vancouver; Presencial; CAD 157.000 - 188.000; Jornada completa

Descripción de la vacante

Connor, Clark & Lunn Investment Management, based in Vancouver, seeks a software developer to join a quantitative equity fund team. You will contribute to ML, cloud, and data technologies, owning the software life cycle from design to maintenance in a research-driven environment.

Ideal candidates are pursuing or hold a computer-related degree with strong programming, analytical thinking, and a passion for learning new tools like Python, Kdb+/Q, R, Spark, AWS, and Databricks.

Formación

• Pursuing or holding a degree in a computer-related field with strong programming skills.
• Analytical mindset capable of deep thoughtful analysis.
• Genuine enthusiasm for technology and willingness to learn new languages and tools.

Responsabilidades

• Collaborate with portfolio managers, analysts and researchers on financial problems.
• Design, plan and implement solutions with an entrepreneurial mindset.
• Maintain investment systems with ongoing enhancements and support.

Conocimientos

Programming Knowledge

Analytical mindset

Technology enthusiasm

Educación

Undergraduate/Graduate/Post-graduate degree in computer field

Herramientas

Python

Kdb+/Q

R

Spark

AWS

Databricks

Descripción del empleo

We are a special software team embedded in a top performing quantitative equity fund that manages over $78+ billion USD in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our developers are crucial to its success.

The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed.

What You Will Do

Developers play an essential role through innovative technologies: machine learning, cloud computing, optimization engines, non-traditional high-performance databases, custom applications and data visualization. You own the entire software life cycle:

• Collaborate with portfolio managers, analysts and researchers to analyze interesting financial problems.
• Design, plan and implement solutions in an entrepreneurial spirit.
• Keep investment systems running smoothly through enhancements and support.

What You Bring

• Programming Knowledge – you are working towards an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gained through your work experience.
• Deeply Analytical – you possess an analytical mind and enjoy mental challenges. An ability to perform deep thoughtful analysis is required for this role.
• Passion for Technology – we work with a range of technologies and programming languages, including Python, Kdb+/Q, R, Spark, AWS, and Databricks. Prior experience with these technologies is not required; what matters is a genuine enthusiasm for technology and an eagerness to learn new languages, tools, and concepts.
• Collaborative Communication – you have a collaborative spirit that helps you to work well with others and you communicate effectively.
• Interest in Investment Management – this is key. Your interest will help you learn about our complex domain.

The monthly salary for this position is $11,000. Students in their final internship term are preferred.

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.