Cclim
Quantitative Equity Data Science
Vancouver, British Columbia, Canada · Full-time
Sponsorship not specified$125k-$200kDetected 11 days ago
AlgorithmsMachine LearningData AnalysisData ScienceStatisticsAccessibilityExcelCollaborationTime ManagementMentoring
About the role
- 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?
Responsibilities
- 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.
- 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
- 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.
Requirements
- Self-Starter - You are motivated and willing to take personal accountability for quality and timeliness of work.
- 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.
- 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.
- 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 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 transcript.
- #LI-HYBRID #LI-RC1
Compensation
- The base salary range is $125,000 – $200,000 annually plus a competitive performance bonus.
Benefits
- We are looking for a Quantitative Equity Data Science to join our Quantitative Equity Team!
- 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.
Equal opportunity
- CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer.
This listing is sourced directly from Cclim's careers page and normalized into a canonical job model.