Quantitative Equity Analyst – Data Science

Connor, Clark & Lunn Investment Management (CC&L); Vancouver; On-site; CAD 90,000 - 200,000; Full time

Job summary

Join a leading investment management firm as a Quantitative Equity Analyst in Vancouver. This role focuses on data science and process engineering within a high-performance team, offering opportunities for growth and collaboration in a supportive environment. Ideal candidates will have a strong analytical mindset and a background in finance or related fields.

Benefits

Tailored career development plans

Mentorship opportunities

Work-Life Balance

Qualifications

• Critical thinking with statistical validation required.
• Degree in relevant fields preferred.

Responsibilities

• Develop and execute algorithms for data exploration.
• Design and test production processes for portfolio management.
• Collaborate with investment teams for process needs.

Skills

Analytical Mindset

Financial Knowledge

Self-Starter

Collaborative Approach

Time Management

Education

Degree in finance, math, stats, CS, engineering

CFA or graduate degree

Job description

Quantitative Equity Analyst – Data Science

Join to apply for the Quantitative Equity Analyst – Data Science role at Connor, Clark & Lunn Investment Management (CC&L)

Location: Vancouver, BC

We are seeking a Quantitative Equity Analyst to join our Quantitative Equity Team! Our high-performance team operates within a top-performing quant fund, focusing on critical investment operations that generate key decisions for trading and insights. We leverage finance expertise and cutting-edge technology to ensure data quality, process improvement, and operational excellence.

As a vital team member, you'll collaborate with investment experts to solve analytical challenges, ensure accurate trade generation, and foster operational innovation. Based in Vancouver, we value mentorship, collaboration, and growth in a supportive environment. Join us to impact our investment engine and our success.

What You Will Do

This full-time role is ideal for individuals passionate about learning quantitative equity investment management and eager to tackle investment, mathematical, and technological challenges. You will undergo comprehensive training on our investment process and then specialize in data science and process engineering to support our investment functions, including model development, data management, and optimization.

Investment Process Management

You will join our Investment Process Management (IPM) group, which develops scalable, efficient systems critical for systematic insights and daily trading. This role offers opportunities for career growth within IPM or other areas like Research, Portfolio Construction, or Trading.

Skills

Our functions primarily require expertise in two areas:

Data Science

• Develop and execute algorithms for data exploration and assessment
• Validate data sets for quality
• Design data loaders and matching processes
• Perform data analysis and support research projects
• Manage production machine learning pipelines with audits
• Document and clean data assets for accessibility
• Develop methodologies for data analysis in time-critical environments
• Address vendor data issues effectively
• Integrate traditional and alternative data sources
• Present findings clearly to stakeholders

Process and Reliability Engineering

• Design and test production processes for alpha, risk, and portfolio management
• Create high-performance process orchestration
• Monitor and respond to production issues
• Communicate real-time issues to relevant teams
• Improve system speeds and efficiencies
• Collaborate with investment teams for process needs
• Identify and implement process improvements
• Assess data quality in production
• Maintain code and tools within processes

Why Grow Your Career With Us

• Impact — Leverage your strengths to positively influence our business
• Culture — Collaboration and innovation are core values
• Development — Tailored career development plans
• Mentorship — Opportunities to learn from peers and seniors
• Work-Life Balance — Enjoy Vancouver’s natural beauty while working professionally

What You Bring

• Analytical Mindset — Critical, creative thinking with statistical validation
• Financial Knowledge — Understanding of financial theory, economic models, and statements
• Self-Starter — Motivated and accountable
• Collaborative Approach — Team-oriented with strong communication skills
• Time Management — Prioritize multiple projects effectively
• Academic Background — Degree in finance, math, stats, CS, engineering, or related field; CFA or graduate degree is a plus
• Industry Experience — Passion for quantitative finance, data science, or related fields

About Connor, Clark & Lunn Investment Management

Established in 1982 and based in Vancouver, our firm manages a broad range of investment strategies, including equities, fixed income, and alternative assets. As part of the CC&L Financial Group, we manage over $139 billion in assets, committed to performance and service excellence.

We are dedicated to diversity and inclusion and are an equal opportunity employer. We welcome applicants at all experience levels, including interns and new graduates. The salary range is $90,000–$200,000 plus performance bonuses, based on experience and qualifications.

To apply, submit your resume, cover letter, and transcripts. Only shortlisted candidates will be contacted. Must be eligible to work in Canada.