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.

This role presents an excellent opportunity for a top-performing candidate with an alpha generation mindset to drive impact within a data-driven investment group.  The Investment Science team, with a mission to drive value creation across the entire fund, seeks to enhance decision-making through the integration of empirical investment research, data utilization, and cutting-edge analytical and engineering methodologies. The team is currently searching for a Quantitative Engineer to actively contribute to its data & analytically driven investment initiatives.

Investment Science’s initiatives involve developing, enhancing, and systematizing investment decisions across various asset classes as well as public and private markets. Recently, a key focus has been on driving various decisions across the investing lifecycle (e.g., capital allocation and security selection) through proprietary forecasts which leverage advanced analytical techniques such as machine learning, natural language processing and generative AI.

As a valued member of the team, the candidate will collaborate with other investors, researchers, and engineers on a diverse range of initiatives. The individual's primary responsibilities and contributions would include leading or supporting the onboarding, engineering, and evaluation of new datasets; construction and evaluation of predictive features; development and implementation of AI models and forecasts; and productionalizing/systematizing of research outcomes.

The opportunity

• Deliver impact by capitalizing on opportunities at the intersection of Investment Research and AI
• Leverage cutting edge analytical techniques such as machine-learning, NLP, Generative AI and the use of multimodal datasets to enable alpha-generating investment decisions through proprietary research
• Bring an alpha generation mindset in contributing towards data & feature engineering, prediction modeling, and portfolio construction
• Work in a fast-paced environment while collaborating with investment professionals, researchers, and engineers
• Contribute to the development and application of investment frameworks in combination with data and advanced analytical techniques to different priority areas such as capital allocation and security selection
• Support high-impact initiatives, in partnership with subject matter experts from across the organization, to conduct and enable research, design, and implementation of investment capabilities

Requirements and Preferences – Technical:

• Degree in Engineering, Computer Science or another quantitative field would be preferred
• Outstanding programming skills and hands-on experience with Python, PySpark or similar technologies
• Experience demonstrating progressive investment research and/or investment engineering with proven impact is an asset
• Practical experience building and evolving statistical and machine learning models and data pipelines is a plus
• Experience working with financial data sets and knowledge of investment lifecycle is preferred
• Experience in solving problems through the combination of quantitative, analytical and/or programming skills
• Experience using cloud (e.g., AWS/Azure/GCP) and associated data and machine learning services is a plus
• Experience building or developing generative AI or NLP powered solutions and capabilities is a plus (including RAG-based applications, and experience with different foundational models)

Requirements and Preferences – Soft Skills:

• Strong critical thinking, analytical and problem-solving skills
• Demonstrated intellectual curiosity in finance, economics, and investment management
• Passion and demonstrated curiosity for different AI techniques (e.g., ML, Deep Learning, GenAI, etc.)
• Excellent written and verbal communication skills with an interest in growing people management and stakeholder influencing skills
• Ability to work in an entrepreneurial environment and be a self-starter
• Exemplify CPP Investments' Guiding Principles of Integrity, Partnership and High Performance

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

We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process. 

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 accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs.

Disclaimer:

CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered.  CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.