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Director, Home and Work Data Science

1 month ago

Toronto, Ontario, Canada OPTrust Full time
About OPTrust

OPTrust is a leading pension fund manager with a strong commitment to inclusion, diversity, and equity. We invest and manage one of Canada's largest pension funds, serving over 111,000 members. Our mission is to pay pensions today and preserve them for tomorrow.

Job Summary

We are seeking a highly skilled Director of Data Science and AI to join our Total Portfolio Management (TPM) Group. The successful candidate will lead the research and development of advanced machine learning models and AI solutions to inform investment decisions. This is a key role in enhancing our quantitative investing and data analytics infrastructure.

Key Responsibilities
  • Lead the research and development of machine learning models and AI solutions to inform investment decisions
  • Enhance our quantitative investing and data analytics infrastructure, including evaluating and implementing new alternative datasets and portfolio management tools
  • Oversee the development and deployment of machine learning models and AI solutions to ensure seamless integration into our quant research stack and automate processes where appropriate
  • Develop and manage quantitative investment strategies leveraging machine learning models and data science techniques
  • Implement rigorous testing and validation processes to ensure the accuracy and reliability of AI models
  • Promote AI and Data Science in the organization by fostering knowledge transfer and highlighting the latest developments in machine learning, data science, and financial markets
  • Partner with internal and external technical thought leaders and specialists to develop a clear and value-driven vision for AI capabilities, aligned with our broader strategy
  • Organize training sessions and workshops to enhance the Investment division's skills and understanding of quantitative analysis, machine learning, and data science
  • Work closely with other teams to ensure smooth implementation and maintenance of data science solutions
  • Mentor junior team members and provide guidance on their professional development
Requirements
  • PhD in Computer Science, Data Science, Statistics, Finance, or a related field
  • Proven academic research or industry experience in strategy development, portfolio management, quantitative analysis, or a related role in the financial industry
  • Strong analytical and problem-solving skills with a keen attention to detail and willingness to take a hands-on approach in research and project management
  • Strong programming skills in Python, experience with alternative data, Deep Learning, Reinforcement Learning, or natural language processing (NLP)
  • Experience with big data technologies and platforms such as cloud-based computing and data storage solutions
What We Offer
  • A dynamic and collaborative work environment
  • A comprehensive benefits package focused on your health and wellness
  • Flexible, hybrid work model to balance the benefits of working from home and the collaborative teamwork experience in the office
  • Membership in our world-class defined benefit pension plan

We are an equal opportunities employer and welcome applications from diverse candidates. Please submit your application via Workday by October 22, 2024.