Quantitative Equity Developer Intern in Vancouver

Quantitative Equity Developer Intern in Vancouver

Vancouver Internship 11000 - 11000 $ / month (est.) On-site
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At a Glance

  • Tasks: Develop innovative software solutions for a leading quantitative equity fund.
  • Company: Join a top-performing fund managing over $78 billion in assets.
  • Benefits: Competitive salary of $11,000/month and opportunities for growth.
  • Other info: Collaborative culture with a focus on entrepreneurial spirit and inclusivity.
  • Why this job: Combine your passion for tech and finance to make impactful investment decisions.
  • Qualifications: Pursuing a degree in computer science or strong programming skills required.

The predicted salary is between 11000 - 11000 $ per month.

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.

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.

Quantitative Equity Developer Intern in Vancouver employer: Connor, Clark & Lunn Investment Management

Connor, Clark & Lunn Investment Management is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals in the finance sector. Located in Canada, the company offers competitive benefits, opportunities for professional growth, and a commitment to delivering a high-quality client experience, ensuring that employees feel valued and empowered in their roles. Join us to be part of a team that prioritizes excellence and supports your career development in the dynamic field of quantitative equity.

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Contact Details:

Connor, Clark & Lunn Investment Management Recruitment Team

We think you need these skills to ace Quantitative Equity Developer Intern in Vancouver

Programming Knowledge
Analytical Skills
Machine Learning
Cloud Computing
Optimization Engines
High-Performance Databases
Data Visualization