Quantitative Equity Data Analyst

CCLIM - Quantitative Equity; Vancouver; On-site; CAD 125,000 - 200,000; Full time

Job summary

CC&L Financial Group is seeking a Data Analyst to join its Quantitative Equity Team in Vancouver. The role begins with a comprehensive training program and evolves into specialized data analytics to support research and investment decisions.

You will collaborate with researchers and technology specialists to integrate data from diverse sources and improve data quality. The position offers a clear path for growth within a high-performance investment engine, with mentorship and opportunities to

Qualifications

• Undergraduate degree in finance, mathematics, statistics, computer science, engineering, or a related discipline.
• Completion of a relevant graduate degree is considered an asset.
• Applications from interns, new graduates, and experienced professionals are welcome.

Responsibilities

• Participate in a comprehensive training program on quantitative equity processes.
• Transition into a role applying data analytics and data science to support research.
• Identify and assess new data sources and how to integrate data products.
• Collaborate with researchers and technology teams to improve data quality and reliability.
• Contribute to documentation and explanations of data work for stakeholders.
• Present findings and recommendations clearly to key stakeholders.

Skills

Analytical Mindset

Financial Knowledge

Self-Starter

Collaborative Approach

Time Management

Academic Training

Education

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

Graduate degree is an asset

Job description

We are looking for a Data Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $111 billion in financial assets. We are 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 data analytics, finance knowledge and cutting‑edge technology, we aim to ensure that new and useful data products are continuously ready for research.

Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success.

What You Will Do

This is an exciting full‑time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges.

You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process.

You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involveidentifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources.

You will be supported with coaching and mentorship from senior members of the team, and we will create the conditions for you to grow your career steadily over time. This is an opportunity for ambitious individuals

to drive their career growth in data.

While we take the approach of tailoring the career path to individual strengths, we expect successful candidates for this role to develop excellence in the following tasks:

• Create processes to assess, explore, and link billions of data points.
• Test structured and unstructured data sets for data quality and reliability.
• Assess new data opportunities for quality and usefulness.
• Evaluate your data solutions for sensibility, accuracy, and bias.
• Collaborate with quantitative researchers – support alpha projects with your data expertise.
• Collaborate with technology specialists – help trade off application performance and operational feasibility.
• Support production deployments of your work to ensure long‑term reliability.
• Enable clarity of and access to your work through robust documentation and exposition.
• Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner.

What You Bring

• Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation.
• Financial Knowledge – Desire to acquire the financial context needed to understand your stakeholders and make data decisions with impact.
• Self‑Starter – You are motivated and willing to take personal accountability for quality and timeliness of work.
• Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts.
• Time Management – You are able to manage and prioritize multiple ongoing projects.
• Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of a relevant graduate degree is considered an asset.

We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full‑time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications.

CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.

Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.