Quantitative Equity Analyst – Process Engineering

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, where you'll leverage your analytical skills and financial knowledge to enhance investment functions. This role offers comprehensive training, mentorship, and opportunities for career growth in a collaborative environment focused on innovation and operational excellence.

Benefits

Tailored career development plans

Opportunities to learn from peers and seniors

Work-Life Balance

Qualifications

• Understanding of financial theory, economic models, and financial statements.
• Passion for quantitative finance, data science, or related fields.

Responsibilities

• Collaborate with investment experts to tackle analytical problems.
• Utilize data science and process engineering skills to support investment functions.
• Develop algorithms for exploring and assessing data.

Skills

Analytical Mindset

Financial Knowledge

Self-Starter

Collaborative Approach

Time Management

Education

Bachelor’s in finance, math, stats, CS, engineering, or related

CFA or graduate degree

Job description

Quantitative Equity Analyst – Process Engineering

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Quantitative Equity Analyst – Process Engineering

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Quantitative Equity Analyst – Process Engineering

Connor, Clark & Lunn Investment Management Ltd.

Vancouver, BC

We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund, dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence.

As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in Vancouver, BC, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success.

What You Will Do
This full-time role is ideal for individuals passionate about learning the quantitative equity investment management business and eager to tackle investment, mathematical, and technology challenges.

You will undergo comprehensive training to learn about various aspects of quantitative equity investment management and our processes.

Following training, you will utilize data science and process engineering skills to support and enhance our investment functions, including building, scaling, managing, and analyzing models, portfolios, and data assets.

You will receive coaching and mentorship from senior team members to support your career growth.

Investment Process Management
You will join our Investment Process Management (IPM) group, which develops scalable, efficient, and robust process systems critical for systematic investment insights and daily trade generation. This role offers opportunities for career growth within IPM or across other teams such as Research, Portfolio Construction, or Trading.

Skills
Our functions primarily require expertise in two areas:

Process and Reliability Engineering

• Design, implement, and test production processes for alpha, risk, portfolio optimization, and market implementation.
• Create high-performance, robust process orchestration systems.
• Monitor production health and respond to issues promptly.
• Communicate real-time issues effectively to stakeholders.
• Identify and resolve computational bottlenecks.
• Collaborate with investment teams to meet process needs.
• Identify areas for process improvement.
• Assess data quality of production processes.
• Maintain clean code and tools within production systems.

Data Science

• Develop algorithms for exploring and assessing data.
• Validate data quality for structured and unstructured data sets.
• Design data loaders and matching processes.
• Perform data analysis to support research projects.
• Maintain machine learning pipelines with proper auditing.
• Document data assets and ensure data clarity.
• Develop methodologies for data analysis in time-critical environments.
• Address vendor data issues effectively.
• Integrate traditional and alternative data sources into analytical frameworks.
• Present findings clearly to stakeholders.

Reasons to Grow Your Career with Us

• Impact – Leverage your strengths to positively influence our business.
• Culture – Emphasizing collaboration and innovation.
• Development – Tailored career development plans.
• Mentorship – Opportunities to learn from peers and seniors.
• Work-Life Balance – Enjoy Vancouver’s natural beauty while maintaining professional growth.

What You Bring

• Analytical Mindset – Critical and creative thinking, balancing intuition and validation.
• Financial Knowledge – Understanding of financial theory, economic models, and financial statements.
• Self-Starter – Motivated with personal accountability.
• Collaborative Approach – Team-oriented with strong communication skills.
• Time Management – Prioritize multiple projects effectively.
• Academic Training – Bachelor’s in finance, math, stats, CS, engineering, or related; CFA or graduate degree is a plus.
• Industry Experience – Passion for quantitative finance, data science, or related fields.

About Connor, Clark & Lunn Investment Management

Founded in 1982 and based in Vancouver, Canada, we manage a broad range of investment solutions, including equities, fixed income, and alternative strategies. As part of the Connor, Clark & Lunn Financial Group, we manage over $139 billion in assets, committed to delivering superior performance and service. We are an equal opportunity employer committed to diversity and inclusion. We welcome applicants of all experience levels, including interns and new graduates. The salary range is $90,000 – $200,000 annually 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.