Quant Senior Associate CI Asset Management
Quant Senior Associate CI Asset Management
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Job Description
We are presently recruiting for a quant Associate/Senior Associate to join the newly created Asset Management (AM) team within the Credit Investments (CI) department in Toronto on a 1year secondment. This is a unique opportunity to help shape the foundational design and implementation of nextgeneration asset management capabilities for CIs private credit portfolio.
The Associate/Senior Associate will play a key role developing technology solutions featuring artificial intelligence to automate and enhance the rigour of our asset management processes. The ideal candidate will bring a strong foundation in software development data engineering and a desire to push the frontier of technology in alternative asset management.
Team Description
AM endeavors to develop a bestinclass 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 techenabled solutions to drive alpha from operational efficiency risk mitigation and proprietary insights.
The team will handle ongoing issuerlevel 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 cuttingedge technology including GenAI and machine learning AM aims to develop systems and processes that are tailored to CI highly scalable and generate accretive insights.
The Associate/Senior Associate will work at the intersection of technology and private credit with an opportunity to develop both engineering and capital markets expertise within a large global credit investment platform.
Accountabilities:
- Design and implement technology solutions to automate postinvestment credit monitoring processes such as financial modeling covenant tracking risk analytics and reporting workflows.
- Collaborate with credit professionals to understand business needs translate requirements into technical specifications and build robust userfriendly tools.
- Work in projectbased teams to generate ideas prototype test and refine new applications from concept to production.
- Build and deploy intelligent agents using machine learning or GenAI to enhance automation and earlywarning capabilities across the credit portfolio.
- Develop and maintain scalable data pipelines to ingest transform and store structured and unstructured credit data from internal and external sources.
- Ensure system reliability maintainability and integration with CIs broader technology and data infrastructure including collaboration with the Tech & Data group and external vendors.
Qualifications :
- 36 years of experience in software development data engineering or quantitative analysis preferably within a financial services or fintech context.
- Proficiency in one or more programming languages such as Python SQL or JavaScript; experience with ETL tools APIs and data modeling is highly desirable.
- Experience building productionready systems that solve realworld business problems preferably in an investment risk or operations setting.
- Experience or interest in credit markets financial analysis and private investing.
- Demonstrated ability to work collaboratively in crossfunctional teams with strong communication skills and comfort working with nontechnical stakeholders.
- Familiarity with GenAI LLMs or machine learning applications is considered a strong asset.
- Undergraduate or graduate degree in Computer Science Engineering Data Science Mathematics or a related field.
Additional Information :
Visit our LinkedIn Career Page or Follow us on LinkedIn. #LIAP1 #LIASM1 #LIOnsite
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 headhunters 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 website job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or website 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 :
Fulltime
Employment Type
Full-time
