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The ideal candidate will have a strong background in data analysis, machine learning, and data visualization using tools like Python, Power BI, and Tableau. The role involves developing and deploying machine learning models, applying predictive and prescriptive analytics, and creating data-driven insights to address business challenges
To streamline the deployment, monitoring, and maintenance of machine learning models in production. Your role will be pivotal in ensuring the scalability, reliability, and efficiency of Machine Learning applications, including adapting modular deep learning models to meet evolving business needs.Proficiency in Python, model governance, serving, and monitoring, along with familiarity with automated data pipeline tools, will be highly advantageous.
In this role, you'll be responsible for designing, developing, and maintaining scalable AI systems using machine learning and data-driven approaches. You'll integrate ML models into production-ready AI solutions while collaborating closely with data scientists, software engineers, and product teams. Monitor and optimise model performance, contribute to AI architecture and deployment, and stay current with the latest AI/ML research and technologies.
As a Data Analyst in the insurance industry, you will play a crucial role in analyzing data to support decision-making and optimize business strategies. This temporary position offers an exciting opportunity to contribute to the analytics department in Hong Kong.
- Strong network in financial media, PR and Corporate Communications
This is an excellent opportunity to join a Global Banking Group as a Business Analyst (Custody - Corporate Action). The role involves supporting corporate action processes, analyzing financial data, and ensuring smooth operations in Securities Services.
This is the first hire for their London office, as a founding team member of their london office. This role requires the ability to build strong relationships and represent the firm in a variety of settings.
The Technical Lead will drive end-to-end project delivery by collaborating with stakeholders, translating business needs into technical solutions, and coordinating cross-functional teams.
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