Quantitative Equity Analyst – Process Engineering

Natural Factors; Vancouver; On-site; CAD 90,000 - 200,000; Full time

Job summary

A leading investment management firm in Vancouver is seeking a Quantitative Equity Analyst to join their high-performance team. The role involves leveraging finance skills and technology to enhance investment processes and drive operational excellence. Ideal candidates will have a strong analytical mindset and a background in finance or related fields, with opportunities for mentorship and career growth.

Benefits

Tailored career development plans

Opportunities for mentorship

Work-Life Balance

Culture emphasizing collaboration and innovation

Qualifications

• Understanding of financial theory, economic models, and financial statements or strong desire to learn.
• Self-motivated with accountability for quality and timeliness.
• Passion for quantitative finance, data science, or related fields.

Responsibilities

• Participate in a comprehensive training program to learn about quantitative equity investment management.
• Utilize data science and process engineering skills to support investment functions.
• Develop algorithms for data exploration and assessment.

Skills

Analytical mindset

Critical thinking

Creative thinking

Collaboration

Communication skills

Education

Undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related field

Job description

Quantitative Equity Analyst – Process Engineering

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 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 analytical problems, ensure accurate and timely trade generation, and drive operational innovation. Based in Vancouver, we value mentorship, collaboration, and growth in a supportive environment. Join us to impact 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 excited to address a broad range of investment, mathematical, and technology challenges.

• Participate in a comprehensive training program to learn about various elements of quantitative equity investment management and our process.
• Utilize data science and process engineering skills to support the team’s investment functions, including building, scaling, managing, or analyzing models, portfolios, data assets, and optimizers.
• Receive coaching and mentorship from senior team members to facilitate career growth.

Investment Process Management

You will join our Investment Process Management (IPM) group within the Quantitative Equities Team, focusing on building scalable, efficient, and robust process systems critical for systematic investment insights and daily trade generation. This position offers opportunities for career advancement within IPM or other team functions such as Research, Portfolio Construction, or Trading.

Skills

Our functions primarily require two technical skillsets :

Process and Reliability Engineering

• Design, implement, and test production processes for alpha, risk, portfolio optimization, and market implementation.
• Develop high-performance process orchestration and monitor system health.
• Communicate production issues effectively to stakeholders.
• Identify and resolve computational bottlenecks and collaborate with teams to meet process needs.
• Maintain process documentation and code quality.

Data Science

• Develop algorithms for data exploration and assessment.
• Validate data quality and design data loaders and matching processes.
• Perform data analysis and support research projects.
• Manage production machine learning pipelines with auditing and analysis.
• Document data assets and develop methodologies for data assessment in time-critical environments.
• Collaborate with teams to integrate various data sources and present findings clearly.

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 senior members.
• Work-Life Balance – Enjoy Vancouver’s natural beauty while pursuing your career.

What You Bring

• Analytical mindset with critical and creative thinking skills.
• Understanding of financial theory, economic models, and financial statements or a strong desire to learn.
• Self-motivated with accountability for quality and timeliness.
• Collaborative approach with strong communication skills.
• Undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related field; CFA or graduate degree is a plus.
• 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 solutions, including equities, fixed income, and alternative strategies. As part of the Connor, Clark & Lunn Financial Group, we manage over $139 billion in assets. We are committed to diversity and inclusion, offering equal opportunity employment.

The salary range is $90,000 – $200,000 annually plus a performance bonus, based on experience and qualifications. To apply, submit your resume, cover letter, and transcripts. Only selected candidates will be contacted. Candidates must be eligible to work in Canada.

J-18808-Ljbffr

Create a job alert for this search