Ingénieur DATA asset management F/H

3 months ago

Old Toronto, Canada TD Full time

Lieu de travail:

Canada

Horaire:

37.5

Secteur d’activité:

Gestion de patrimoine TD

Détails de la rémunération :

Nous avons à cœur d’offrir une rémunération juste et équitable à tous nos collègues. En votre qualité de candidat ou de candidate, nous vous encourageons à avoir une conversation franche avec votre recruteur et à poser des questions sur la rémunération, notamment les particularités salariales de ce poste.

Description du poste:

TD Asset Management (TDAM), a member of TD Bank Financial Group, is a leading North American investment manager offering progressive investment solutions to both institutional and individual investors. For over two decades, the organization has established competitive market positions in active, quantitative, and passive portfolio management. As of June 30, 2024, TDAM and its affiliates manage over $434 billion in assets on behalf of pension, insurance, endowment/foundation, and corporate clients, as well as high-net worth clients and retail mutual funds.

In attaining this client commitment, TDAM has built one of Canada’s largest and most respected investment management and research teams with more than 220 Portfolio Managers, Associate Portfolio Managers, Traders and Analysts.

Flexibility regarding job accountabilities will be needed, as the candidate will be working with a small team and jobs will be assigned to maximize efficiency.

Responsibilities:
  • Partner closely with portfolio managers, sales, technology, operations, senior management and other stakeholders within the organization to guide their decisions making process using ML and AI solutions.
  • Own the deployment, maintenance and support for scalable models and data products.
  • Proactively identify and own projects that solve complex problems across multiple domains.
  • Apply specialized skills and fundamental data science methods (predictive modeling, deep learning, NLP, Gen-AI) to develop solutions that improve business decisions.
  • Support the technical vision and contribute to ML strategy for how we deliver, deploy and support scalable user-facing ML and Gen-AI tools.
Job Requirements:
  • 3+ years of commercial experience as in a data science role solving, owning and maintaining ML and AI solutions that solve high impact business problems.
  • Experience working with python for data manipulation, model development and deployment.
  • Experience in software engineering best practices and tools including object-oriented programming, git, shell scripting, task orchestration.
  • Experience using cloud solutions for application.

Hybrid - Tuesday/Wednesday/Thursday in office each week

#LI-Wealth

#J-18808-Ljbffr

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