Analyst, Quantitative Developer

CPP Investments; Toronto; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A global investment organization based in Toronto is looking for an Analyst to join their newly formed Asset Management team. This role involves developing internal platforms for performance monitoring and credit data analysis, focusing on technical skills in Python and SQL. The ideal candidate has 1-2 years of experience in a technical role and a strong academic background in a quantitative or finance-related field. The role emphasizes collaboration with investment teams to enhance asset management capabilities.

Benefits

Stimulating work environment

Accelerated exposure and responsibility

Diverse colleagues and leaders

Hybrid-flexible work environment

Qualifications

• 1-2 years of experience in a technical role, ideally within a fintech or large technology-driven organization.
• Strong problem-solving and communication skills; comfortable with non-technical stakeholders.
• Familiarity with investment concepts such as financial statements or valuation is an asset.

Responsibilities

• Develop internal platforms for performance monitoring and credit data analysis.
• Build AI-enabled pipelines to automate asset management tasks.
• Collaborate with investment teams to address complex investment problems.

Skills

Programming languages

Data analysis

AI and automation tools

Problem-solving

Communication skills

Education

Quantitative or finance-related field

Tools

Python

SQL

React

Job description

Make an impact at a global and dynamic investment organization

When you join CPP Investments, you are joining one of the world’s most admired and respected institutional investors. As a professional investment management organization, CPP Investments invests the funds of the Canada Pension Plan (CPP) to help ensure its financial sustainability for generations of working and retired Canadians.

CPP Investments invests across regions and asset classes to build a globally diversified portfolio. It holds assets in public equity, private equity, real estate, infrastructure, and fixed income, and the CPP Fund is projected to reach $trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, San Francisco, São Paulo, and Sydney.

CPP Investments successfully attracts, selects, and retains talented individuals from top-tier institutions worldwide. Join our team for access to :

• Stimulating work in a fast-paced and intellectually challenging environment
• Accelerated exposure and responsibility
• Diverse and inspiring colleagues and approachable leaders
• A hybrid-flexible work environment with an emphasis on in-person collaboration
• A culture rooted in principles of integrity, partnership, and high performance
• An organization with an important social purpose that positively impacts lives

If you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here.

Job Description

We are presently recruiting for an Analyst to join the newly created Asset Management (AM) team within the Credit Investments (CI) department in Toronto. This is a unique opportunity to help shape the foundational design and implementation of next-generation asset management capabilities for CI’s private credit portfolio.

The Analyst will play a key role in enhancing the scalability and rigour of our asset management, working with investment teams and enabling functions to ensure timely and robust investment monitoring and continuous feedback into our investment processes. The ideal candidate will bring strong credit fundamentals, an interest in technology-enabled innovation, and a collaborative, ownership-oriented mindset.

Team Description

AM endeavors to develop a best-in-class asset management function to support CI’s growth for the next decade and beyond. The team will consist of credit experts and quantitative engineers collaboratively delivering tech-enabled solutions to drive alpha from operational efficiency, risk mitigation, and proprietary insights.

The team will handle ongoing issuer-level tasks such as performance monitoring, analyses of fundamental data trends, covenant tracking, cashflow and ledger forecasts, valuations, portfolio updates, and other critical asset management activities. By combining domain expertise with cutting-edge technology – including GenAI and machine learning – AM aims to develop systems and processes that are tailored to CI, highly scalable and enhance decision making.

The Analyst will work at the intersection of credit analysis, portfolio management and technology with exposure to CI’s team and investment activity globally.

Accountabilities :

• Develop full-stack internal platforms that support performance monitoring, covenant tracking, and credit data analysis using tools like React, Python and SQL.
• Collaborate with investment teams and data engineers to translate complex investment problems with messy real-world financial data to develop organized systems / workflow – such as automated model roll-forward, alerts and report generation.
• Build and refine AI-enabled pipelines to automate asset management tasks : deal onboarding, position monitoring, and portfolio analysis.
• Analyze structured & unstructured data to produce insights for portfolio management use cases – such as fundamental trends, early warning signs and performance & risk analysis.
• Prototype and experiment with GenAI tools (, LLM-based agents, RAG frameworks) to reduce manual touchpoints in credit review and monitoring processes.

Qualifications

• 1–2 years of experience in a technical role—such as software engineering, data science, or applied AI—ideally within a fintech, startup, hedge fund, or large technology-driven organization.
• Experience in programming languages, data analysis, AI and automation tools ( Python, SQL, PydanticAI) and digital innovation is considered a strong asset.
• Familiarity with data pipelines (ETL), APIs, and database technologies (SQL / NoSQL).
• Familiarity with web frameworks and webtools ( React and
• Strong problem-solving and communication skills. Comfortable working with non-technical stakeholders.
• Familiarity with investment concepts—such as financial statements, valuation, portfolio monitoring, or risk management—is an asset
• Strong academic background, preferably in a quantitative or finance-related field

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