Analyst AI​/ML Engineer, Portfolio Analytics

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OMERS Total Portfolio Management manages the public markets investment portfolio consisting of fixed income (including government bonds, Inflation-Linked Bonds and public and private credit) and equities, including global public equities, intellectual property and structured investments. The team’s approach is focused on generating current income from high-quality assets and generating a consistent capital return with a lower volatility than the broad markets.

We also seek to develop strategic partnerships with best-in-class investors to access credit and other opportunities on a global basis. The OMERS Capital Markets' team is distinguished by its diversity in expertise and experience and its commitment to reliable, lower-risk performance. Our objective is to construct a well-diversified portfolio that will deliver long-term annualized returns in the 6 to 9% range.

As a member of the OMERS Total Portfolio Management (TPM) team in Toronto, reporting to the Director, Head of AI Labs in Portfolio Analytics, you will contribute and lead our transformation of how Capital Markets improves investment decision making through data driven insights.

As a AI/ML Engineer in AI Labs, Portfolio Analytics, at OMERS Total Portfolio Management, you will be part of a team that produces world-class AI/ML powered analytics and quantitative tools. The role provides the successful candidate with the opportunity to work closely with our different investment teams and the rest of TPM, where you will develop and grow your understanding of ML and quantitative methods and AI tools that drive the development of the systematic components of portfolio management.

• Build AI & ML solutions across a wide range of investment applications:
  Develop and implement AI models and algorithms to solve complex problems.
• Contribute to problem solving & brainstorming discussions related to AI & ML
• Deep dive into data intensive initiatives
• Analyze and preprocess data to ensure quality and relevance for AI applications.
• Develop AI evaluation frameworks:
  Conduct experiments and evaluate the performance of AI models
• Convert research code into streamlined, deployable production code that includes robust data pipelines
• Owning the end-to-end analytics production cycle
• Stay updated with the latest advancements in AI and machine learning technologies. Work closely with Data and Technology department to expand on our technology stack
• Effectively communicating highly technical subject matters to investment team portfolio managers and collaborate with cross-functional investment teams to integrate AI solutions into existing systems

• Bachelor's or Master's degree in Computer Science, Software Engineering, Physics, Mathematics, or a related field
• Up to five years of experience in AI engineering or related roles
• Proficiency in programming/querying languages such as Python, SQL, or C++
• Experience with Python machine learning libraries such as Tensor Flow, PyTorch, XGBoost, or Scikit-learn
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities

• Ability to design and develop clean coding solutions heavily focused on…