Job description
Quantitative Equity Data Science
Company Overview
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. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment.
Job Summary
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.
Key Responsibilities
- 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.
Salary & Benefits
The base salary range is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications.
How to Apply
To apply for this position, please submit your resume, cover letter and transcript.
Equal Opportunity Statement
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.
AI Usage
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.
