Deep Learning Researcher, Fundamental Forecasting

Deep Learning Researcher, Fundamental Forecasting page is loaded## Deep Learning Researcher, Fundamental Forecasting locations:
Toronto time type:
Full time posted on:
Posted 2 Days Agotime left to apply:
End Date:
March 27, 2026 (29 days left to apply) job requisition :
JR00259
** 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 $3.6trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, 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
* Global career development opportunities
* 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.
** Role

Summary:

** The mandate of Active Equities is to deliver alpha in the global public equity markets, leveraging CPP Investments’ structural competitive advantages and proprietary sources of edge to generate alpha through company-specific fundamental research. The Fundamental Forecasting team’s objective is to create a diversifying alpha stream by forecasting financial outcomes at scale and systematically monetizing these forecasts. The team develops large-scale forecasts of individual company fundamentals using alternative data and advanced predictive techniques, and designs, implements, and manages portfolios that translate these insights into investment decisions.
We are seeking a deep learning researcher with strong quantitative foundations to play a key role in the Fundamental Forecasting team within the Active Equities department. In this role, you will own and drive the deep learning research roadmap as a high-impact individual contributor, reporting directly to the team’s Managing Director. You will lead the design, training, and evaluation of transformer-based models to forecast company fundamentals and financial KPIs at scale, leveraging large and diverse data sources.
The role focuses on applying state-of-the-art deep learning techniques to improve the quality, stability, and economic value of fundamental forecasts, and translating these improvements into actionable investment signals. This position is ideal for an experienced deep learning researcher who is excited to develop and apply modern transformer-based models to real-world financial forecasting and investing problems, and to deliver measurable impact on alpha generation.
** Accountabilities &

Qualifications:

**** Accountabilities
* ** Lead the development of transformer-based forecasting models and research pipelines, translating investment objectives into robust deep learning architectures.
* Design, train, and evaluate transformer architectures tailored to financial time series, panel data, and alternative data sources.
* Systematically evaluate model performance using rigorous statistical, robustness, and economic metrics, and clearly articulate sources of performance improvements.
* Communicate research findings and trade-offs to the Managing Director and broader Fundamental Forecasting team.
* Implement and integrate models into the…