Connor, Clark & Lunn Investment Management Ltd. Vancouver, BC 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, 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.

Role 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.

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 $125,000 – $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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