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Job Type   /   Job Level
Full-time   /   Others/Any
Company Location
Hong Kong
A global investment bank looking for an Analyst/ AVP with a quant background.

Your new company

Your new company is a leading global investment bank with a strong presence across Asia looking for an Analyst/ AVP with a quant background.

Your new role

  • Supporting daily trading system readiness and ensuring optimal platform performance before the market opens.
  • Monitoring intraday order flow and electronic execution activity across regional equity markets.
  • Managing trading exceptions, incidents, and escalations while coordinating with internal technology and operational teams to resolve issues efficiently.
  • Working closely with Technology, Compliance, Trade Surveillance, Operations, and other stakeholders to deliver best-in-class client support.
  • Supporting trading account setup, client onboarding activities, and trading limit configurations.
  • Conducting analysis of trading data and helping identify process improvement and automation opportunities.
  • Responding to client enquiries and assisting with information requests from exchanges, regulators, and internal control functions.
  • Monitoring market developments, trading activity, and associated risks within a highly regulated environment.
  • Contributing to risk management, controls, and strategic technology initiatives that enhance the client trading experience.

What you'll need to succeed

  • Strong hands-on experience with Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience developing and deploying Generative AI / LLM solutions, including prompt engineering, RAG architectures, and API-driven models.
  • Good understanding of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management.
  • Experience working with cloud platforms, preferably Azure, although AWS or GCP experience will also be considered.
  • Knowledge of data engineering concepts, including SQL, APIs, data pipelines, and feature engineering.
  • Proven experience delivering AI and machine learning solutions into production environments.
  • Experience working within Agile, Scrum, or squad-based delivery models.
  • Strong analytical and problem-solving skills with a focus on delivering business value.
  • Excellent stakeholder management and collaboration skills across technical and non-technical teams.
  • A passion for innovation and continuous learning within the rapidly evolving AI landscape.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

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