Quantitative Equity Data Science
Vancouver, British Columbia, Canada · Posted 4 months agoDescription
- 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.
- 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.
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
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.
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