Associate Quantitative Researcher, Investment

3 months ago


Toronto, Canada CPP Investments Full time

Company Description
**Make an impact at a global and dynamic investment organization**

When you invest your career in CPP Investments, you join one of the most respected and fastest growing institutional investors in the world. With current assets under management valued in excess of $500 billion, CPP Investments is a professional investment management organization that globally invests the funds of the Canada Pension Plan (CPP) to help ensure long-term sustainability. The CPP Fund is projected to reach $3 trillion by 2050. CPP Investments invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and is headquartered in Toronto with offices in Hong Kong, London, Luxembourg, Mumbai, New York City, San Francisco, São Paulo and Sydney.

CPP Investments attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:

- Diverse and inspiring colleagues and approachable leaders
- Stimulating work in a fast-paced, intellectually challenging environment
- Accelerated exposure and responsibility
- Global career development opportunities
- Being motivated every day by CPP Investments’ important social purpose and unshakable principles
- A flexible/hybrid work environment combining in office collaboration and remote working
- A deeply rooted culture of Integrity, Partnership and High Performance

If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here’s an opportunity for you to invest your career at CPP Investments.

**Job Description**:
**The Opportunity**:

- Work in a fast-paced environment while collaborating with investment professionals, researchers, and engineers.
- Bring an alpha generation mindset to contribute towards technical aspects of research, feature engineering, prediction and statistical modeling, and portfolio construction.
- Contribute to the research and development of investment frameworks in combination with data and advanced analytical techniques, to advance investment decision-making in areas such as capital allocation, security selection, portfolio construction, and more.
- Actively contribute to the full research cycle, including data acquisition, model development, stakeholder collaboration, and implementation of valuable insights and analytics into investment decision-making.
- Leverage cutting edge analytical techniques such as machine learning and large datasets to enable alpha-generating investment decisions through proprietary research methodologies.
- Explore a wide range of approaches and tailor the approach to each problem, considering the appropriate level of sophistication relative to its complexity while ensuring the quality and accuracy.

**Qualifications**:
Core technical requirements:

- Advanced degree (e.g., MSc, MFE, PhD) in a quantitative discipline, such as mathematics, mathematical finance, statistics, computer science, engineering, or a related field.
- Strong programming skills and hands-on experience with Python.
- 2-5 years of relevant experience in research roles within financial disciplines, such as investment research, portfolio construction, asset pricing, etc.
- Interest and eagerness for conducting empirical research and analysis of large datasets.
- Advanced knowledge of financial mathematics and statistical techniques with good economic intuition.
- Demonstrated success in delivering practical solutions to complex problems.
- Practical experience building and evolving statistical and machine learning models is a plus.
- Understanding of modern asset pricing/portfolio theory is a plus.
- Experience with PySpark or similar technologies is a plus.
- Experience using cloud (e.g., AWS/Azure/GCP) and associated data and machine learning services is a plus.

Non-technical requirements:

- Exceptional critical thinking, analytical and problem-solving skills with the ability to develop innovative approaches to intricate issues.
- Strong intellectual curiosity in data, finance, and investment management.
- Excellent written and verbal communication skills with an interest in growing people management and stakeholder influencing skills.
- Capacity to synthesize feedback from various sources and integrate it into tangible model representations for empirical testing.
- Ability to work in an entrepreneurial environment and be a self-starter.
- Exemplify CPP Investments' Guiding Principles of Integrity, Partnership and High Performance.

Additional Information

Visit our **LinkedIn Career Page** or **Follow us **on** LinkedIn. #LI-BG1**

LI-Hybrid

At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability.

**Our Commitment to Inclusion and Diversity**:
In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and access



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