Analyst, Quantitative Models, Applied Research and Models (12-Month Contract)
Toronto, ON, Canada
CPP Investments
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 $576 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 Total Fund Management Department
In Total Fund Management ("TFM"), we are building the capabilities to enable a consistent framework for the long-term management of the firm's investment strategy. TFM consists of five groups: Exposure, Leverage, and Liquidity Management, Portfolio Design and Construction, Applied Research & Models (“ARM”), Trading and Business Management.
In partnership with a diverse team of professionals, the ARM group seeks to ensure TFM’s research capabilities in one centralized team produce focused and impactful research, develop robust and consistent tools, and operate as efficiently as possible.
We are currently recruiting an Analyst to join the Tactical Branch of the Quantitative Models team within the ARM group for a 12-month period beginning either May or Sept 2024.
What you’ll do
- Work in collaboration with researchers and portfolio managers to implement investment strategies, conduct statistical analysis, track portfolio metrics, and enhance existing models
- Help organize the implementation of our platform and ensure the robustness of our infrastructure.
- Be mentored by experienced team members who will aid you in tapping into your expertise and blending it with new skills learned on the job.
- Have the opportunity to contribute to quantitative research topics including (but not limited to): portfolio construction, back testing, and signal research.
Qualifications
Who We’re Looking For
- The ideal candidate is either i) enrolled in an undergraduate or graduate co-op program, ii) enrolled in a non-co-op program and pursuing a professional experience year (PEY), or iii) has graduated in August 2023 or later from an undergraduate or advanced degree program.
- You are working towards a degree with a specialization in Software Engineering, Computer Science, Mathematics, Finance or related quantitative disciplines. CFA Level I is an asset.
- The candidate must have strong programming and data modeling experience in Python. Proficiency in data manipulation using Python libraries such as Pandas and NumPy.
- An interest in modern portfolio theory, investment, economics, or quantitative portfolio techniques.
- You would like to gain industry experience in financial markets, portfolio management, portfolio construction, and asset pricing.
- You have strong analytical and problem-solving skills, attention to detail, intellectual curiosity, and the ability to learn new concepts.
- You demonstrate strong interpersonal skills with solid verbal and written communication skills.
Additional Information
If you have an interest in working with talented professionals in the financial industry in an environment of integrity, partnership and high performance, then you should consider a career in at CPP Investments.
To apply, please include a cover letter, resume and transcripts (full unofficial version).
Deadline: Sunday, March 24, 2024, 11:59 PM EST
Visit our Linkedin Career Page or Follow us on Linkedin.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Economics Engineering Finance Mathematics NumPy Pandas Python Research Statistics Testing
Perks/benefits: Career development Flex hours
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