Analyst, Quantitative Developer

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 CIs 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 CIs 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 CIs 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 (e.g. LLM-based agents RAG frameworks) to reduce manual touchpoints in credit review and monitoring processes.

Qualifications :

• 12 years of experience in a technical rolesuch as software engineering data science or applied AIideally within a fintech startup hedge fund or large technology-driven organization.
• Experience in programming languages data analysis AI and automation tools (e.g. 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 (e.g. React and )
• Strong problem-solving and communication skills. Comfortable working with non-technical stakeholders.
• Familiarity with investment conceptssuch as financial statements valuation portfolio monitoring or risk managementis an asset
• Strong academic background preferably in a quantitative or finance-related field

Additional Information :

Visit our LinkedIn Career Page or Follow us on LinkedIn. #LI-ASM1 #LI-Onsite

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.

Remote Work :

No

Employment Type :

Full-time