Back to jobs

Data Scientist, Investment Data

Vancouver, British Columbia, Canada

 

We are looking for a Data Scientist to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-oiled machine responsible for generating key investment insights that drive trades. 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 evaluating and 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 the data space. 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 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, machine learning, AI, and process engineering skillsets to accelerate the Quantitative Equity Team’s data preparation and modelling functions. Your specialized role will involve building, scaling, managing and evaluating our integrated data model, in direct support of alpha research. 
 
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 the 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:
  • Develop and continuously improve practical methods for named entity recognition (NER), and create knowledge graphs at scale
  • Create methods, algorithms & processes to identify, link, explore and assess billions of data points.
  • Test structured and unstructured data sets for data quality and reliability.
  • 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 accessibility and clarity of 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.
  • Data Science – You have practical experience building, validating, and enhancing performance of ML & AI models on large data sets.
  • Technical Capability – You thrive working through challenging data problems that come with ambiguity and business trade-offs.
  • Financial Knowledge – Desire to acquire the financial context needed to understand your stakeholders and make good data decisions.
  • 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.

#LI-HYBRID #LI-RC1

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.  

 

Create a Job Alert

Interested in building your career at Connor, Clark & Lunn Investment Management? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter*

Accepted file types: pdf, doc, docx, txt, rtf

Transcript*

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...
Select...
Select...
Select...
Select...
Select...
Select...

I acknowledge that I have read and understood the CC&L Financial Group Privacy Policy [https://cclfg.cclgroup.com/privacy-confidentiality/].  I consent to CC&L processing my personal data as described in the Privacy Policy as summarized below, including to the transfer of my personal data to third parties located outside of my jurisdiction, and I understand my privacy rights and choices.

Select...

The CC&L Financial Group entity to which you are applying is the data controller for the personal data you provide during the recruitment process and can be contacted at privacy@cclgroup.com.

We process personal data about you to manage our recruitment activities, including evaluating your suitability for employment. By completing the acknowledgement above, you consent to this processing. In applicable jurisdictions, other lawful bases for this processing are: (i) legitimate interests, to collect and review application information, shortlist, conduct interviews and assessments, and verify candidates; and (ii) contract, where you have accepted a job offer and we need to take steps prior to entering into a contract of employment.

We collect personal data directly from you when you apply for a role and may also obtain personal data about you from other sources, including recruitment agencies, employee referrals, and professional networking sites, where permitted by applicable law. Your personal data may be shared within our group, with third parties who provide services to us (including Greenhouse Software, Inc., a cloud services provider located in the U.S. engaged to help manage our recruitment process), and where required by law. Where your personal data may be transferred outside of your state/province/region or internationally, appropriate safeguards are in place in accordance with applicable data protection law.

Your personal data will be retained for the duration of the recruitment process and for a period following the conclusion of the recruitment process, including for the purpose of considering you for future employment opportunities, contacting you about such opportunities, or as otherwise outlined in our Privacy Policy, in accordance with data protection laws.

You have various rights under applicable data protection law depending on where you live, including the right to access, correct, delete or restrict processing of your personal data, and to receive your data in a portable format. You may also object to processing or retention in some circumstances and, where we have asked for your consent, withdraw it at any time. These rights may be limited in certain circumstances.

If you have any concerns about how we handle your personal data or would like more information about what rights you have, please contact us at privacy@cclgroup.com in the first instance. You also have the right to lodge a complaint with your local supervisory authority. For UK applicants, this is the Information Commissioner's Office. For full details on how we process your personal data please see our Privacy Policy at [https://cclfg.cclgroup.com/privacy-confidentiality]

Select...