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Data science • kitimat bc
Quantitative Equity Analyst – Data Science
Connor, Clark & Lunn groupVancouver, Metro Vancouver Regional District, CASecondary Teacher – Science
MyrcsRichmond, Metro Vancouver Regional District, CASecondary Science Teacher
Society of Christian Schools in BCBC, CAManager, Data Science & Artificial Intelligence
British Columbia Institute of TechnologyBurnaby, Metro Vancouver Regional District, CAGeneral Science Teacher
Dipont EducationBC, CAQuantitative Equity Analyst – Data Science
Connor, Clark & Lunn Investment Management (CC&L)Vancouver, Metro Vancouver Regional District, CAIndigenous Health Data Science—Tenure-Track Faculty
The University of British ColumbiaVancouver, Metro Vancouver Regional District, CASenior Data Scientist, ADE Science
Amazon Canada Fulfillment Services, ULCVancouver, British Columbia, CANMarine Science Educator
Bamfield Marine Sciences CentreArea A (Bamfield), BC, CAScience 8, Science 10, Physics 11
York Region District School BoardBritish Columbia, CanadaSenior Data Engineer, ADE Science
Amazon Development Centre Canada ULCVancouver, British Columbia, CAN- Promoted
Science 8, Science 10, Physics 11
School District #38 (Richmond)Richmond, BC, CanadaMarketing Science Lead
O2E BrandsVancouver, British Columbia, Canada#31-202526 Earth Science 11Junior Math and Science Teacher
School District #53Osoyoos, British Columbia, CanadaSenior Data Engineer, ADE Science
AmazonVancouver, Metro Vancouver Regional District, CAComputing Science Lecturer — Big Data & Capstone Mentorship
WiMLDS IncBC, CAEnvironmental Science Co-op : Field Research & Data Mgmt
GlencoreSparwood, BC, CASenior Manager Data Science and Engineering
Royal Bank of Canada>VANCOUVER, CanadaScience Teacher
Athletes Global CorporationVernon, Regional District of North Okanagan, CA- Medicine Hat, AB (from $ 117,476 to $ 290,500 year)
- Stony Plain, AB (from $ 72,682 to $ 275,077 year)
- Markham, ON (from $ 83,306 to $ 272,875 year)
- Cambridge, ON (from $ 130,453 to $ 265,000 year)
- Winnipeg, MB (from $ 65,915 to $ 245,000 year)
- Waterloo, QC (from $ 98,638 to $ 235,040 year)
- Waterloo, ON (from $ 98,638 to $ 235,040 year)
- Thunder Bay, ON (from $ 111,029 to $ 231,425 year)
- Glace Bay, NS (from $ 111,029 to $ 231,425 year)
- Saguenay, QC (from $ 161,038 to $ 218,150 year)
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Quantitative Equity Analyst – Data Science
Connor, Clark & Lunn groupVancouver, Metro Vancouver Regional District, CA- Full-time
Position : Quantitative Equity Analyst – Data Science
Location : Vancouver, British Columbia
Job Id : 2245
# of Openings : 0
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 West Coast Vancouver, 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 is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, 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 science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and / or analyzing our quantitative model, portfolios, data assets and optimizers.
You will be supported with coaching and mentorship from senior members of the team.
We are creating the conditions for you to grow your career steadily over time.
Investment Process Management
The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading.
While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets :
Data Science
- Construct and run algorithms to explore and assess data effectively.
- Validate structured and unstructured data sets for data quality.
- Design and test data loaders and security matching processes and specifications.
- Perform data analysis and provide data expertise to support researcher’s projects.
- Facilitate production machine learning operational pipelines with effective and timely auditing and analysis.
- Enable accessibility and clarity within our data assets through robust documentation and data scrubbing.
- Develop robust methodologies for assessing and analyzing data in time critical production environments.
- Respond to and mitigate vendor data issues effectively in a production setting.
- Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes.
- Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner.
Process and Reliability Engineering
Reasons to Grow Your Career with Us
What You Bring
About Connor, Clark & Lunn Investment Management
Connor, Clark & Lunn Investment Management is a global institutional asset management firm established in 1982 and based in Vancouver, Canada. Our strong, stable team of investment professionals manages a broad range of investment solutions that includes traditional mandates such as developed and emerging market equities and fixed income, as well as alternative strategies such as portable alpha, market neutral and absolute return.
Connor, Clark & Lunn Investment Management Ltd. is part of the Connor, Clark & Lunn Financial Group Ltd. (CC&L Financial Group), a multi-boutique investment management company whose affiliates collectively manage over $167 billion in financial assets. Our affiliation with the CC&L Financial Group allows us to best deliver on the mission to provide superior performance and service to our clients.
Connor, Clark & Lunn Investment Management 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.
We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range is $90,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications.
To apply for this position, please submit your resume, cover letter and academic transcripts.
We thank all applicants for their interest, however, only those selected for an interview will be contacted. No telephone calls or agencies will be accepted. Successful applicants must be eligible to work in Canada on their start date.
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