Quantitative Equity Research, Alpha

Crestpoint Real Estate Investments; Vancouver; Hybrid; CAD 125,000 - 200,000; Full time

Job summary

A prominent asset management firm in Vancouver seeks a Quantitative Research Analyst to drive innovative investment strategies through advanced quantitative research. This role requires a blend of analytical skills and domain expertise, focusing on enhancing investment insights and performance while collaborating across teams. Candidates with strong academic backgrounds and a passion for finance are encouraged to apply.

Benefits

Substantial variable compensation in the form of a year-end bonus

RRSP contribution matching

Health benefits

Family building benefits

Qualifications

• Strong understanding of business success drivers and security valuation.
• Experience in producing rigorous quantitative research in finance.
• Proficient in balancing intuition with rigorous statistical analysis.

Responsibilities

• Research and development of new investment models.
• Generate ideas for new investment insights.
• Collaborate with technology and portfolio management teams.

Skills

Domain Expertise

Analytical Mindset

Collaborative Approach

Education

Undergraduate degree in finance, mathematics, statistics, computer science or related discipline

Graduate level studies

Job description

We are looking for a Quantitative Research Analyst to join our fast-paced and entrepreneurial Quantitative Equity team! We combine leading edge quantitative research with state-of-the-art technology to develop our unique algorithmic investment strategies. A culture of innovation growth and success through collaboration has enabled us to deliver top tier performance for over two decades. Today our clients entrust us with over $42 billion in assets across a range of investment mandates.

What You Will Do

As a member of the quantitative research team you will help tackle a broad array of challenges at the Intersection of finance data science and technology. We seek to identify novel predictors of business outcomes and model complex inefficiencies in constantly evolving financial markets. Our focus is on developing cutting edge and uniquely powerful investment insights.

This is an exciting role for an individual who is passionate about quantitative research and wants to apply a disciplined and scientific approach to investing. You will work with key decision makers on the team and have a broad range of responsibilities including :

• Research and development of new investment models
• Generating ideas for new investment insights
• Apply a variety of skills and techniques in finance data science and statistics
• Collaborate with our technology portfolio management and investment process teams to deliver exceptional investment performance

What You Bring

• Domain Expertise You have a deep understanding of the drivers of business success securities valuation and markets. You can effectively apply both creativity and discipline to sourcing and evaluating novel data sets that are useful for predicting the performance of companies and securities.
• Analytical Mindset You have experience with producing rigorous quantitative research particularly in finance and are adept at balancing intuition with statistical validation.
• Academic Training At a minimum an undergraduate degree in finance mathematics statistics computer science or related discipline. Graduate level studies are valuable in this role. Exceptional achievements and recognition (e.g. research or awards) are helpful in demonstrating your abilities.
• 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.

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. As of October 2021 we manage $50B in client assets.

About Connor Clark & Lunn Financial Group

At Connor Clark & Lunn Financial Group we understand the value of opportunity for our clients and our team. Independent and employee-owned we partner with investment professionals to grow successful asset management businesses giving them the space to innovate and truly make an impact.

With more than 40 years of history and offices across Canada and in the US the UK and India CC&L Financial Group and our multi-boutique family of affiliate firms collectively manage over $139 billion in assets providing a diverse range of traditional and alternative investment products and solutions to institutional high-net-worth and retail clients.

For a closer look at how you can build your career with us we invite you to explore .

CC&L 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 annual base salary for this position is $125000 - $200000 for new graduates. Our compensation and benefits package includes substantial variable compensation in the form of a year-end bonus RRSP contribution matching health benefits and family building benefits. Compensation will be determined based on experience and qualifications.

We thank all applicants in advance for their interest but only those candidates shortlisted for interviews will be contacted. No telephone calls or recruitment agencies will be accepted.

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Key Skills

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Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 125000 - 200000

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