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Senior Quantitative Equity Researcher
2 months ago
Quantitative Equity Analyst - Alternative Data Strategist
About Connor, Clark & Lunn Financial Group
Connor, Clark & Lunn Financial Group 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 as well as alternative strategies.
Job Summary
We are seeking an experienced analyst to join our Investment Process Management group within our Quantitative Equities team. As a Quantitative Equity Analyst - Alternative Data Strategist, you will be responsible for researching, identifying, and acquiring differentiated alternative data sets from various vendors that will allow for a pipeline of unique alpha insights to be developed.
Key Responsibilities
- Research and identify alternative data sets from various vendors to develop unique alpha insights.
- Mentor and assist other data analysts to maximize their impact within the team.
- Develop robust methodologies for assessing and analyzing alternative data to determine relative value for extracting meaningful insights and actionable intelligence.
- Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes.
- Stay abreast of emerging trends and technologies in alternative data and continuously evaluate their potential impact on our business strategy.
- Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner.
- Work with in-house compliance teams to ensure our data acquisition workflows adhere to internal policy.
- Work with legal counsel to ensure our data contracts are aligned with legal, investment team, and business requirements.
Requirements
- Analytical Mindset - You think critically and creatively and are adept at balancing intuition with statistical validation.
- Financial Knowledge - You possess a thorough understanding of key drivers of business success, including financial theory, economic models, and corporate financial statements.
- 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.
- Time Management - You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities.
- Academic Training - At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset.
- Industry Experience - 2-5 years of experience in quantitative finance, equity investment, data science, or related fields is preferred.
What We Offer
We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range is $90,000 - $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications.