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As a Business Analyst (Gen AI) in the insurance industry, you will play a critical role in driving technological advancements and streamlining business processes using generative AI solutions. This temporary position in Hong Kong offers an exciting opportunity to collaborate with cross-functional teams and deliver impactful results.
Senior Analyst (5+ years experience) - Lead advanced analytics and AI/ML projects, drive business impact, and mentor others.Analyst (3+ years experience) - Apply predictive models and machine learning to solve real business challenges and grow your expertise
We are seeking a skilled AML System Analyst/ Analyst Programmer to join a leading team within banking and financial industry. This role focuses on enhancing Anti-Money Laundering (AML) systems and ensuring compliance with regulatory standards in a fast-paced environment.
This is an exciting opportunity for a Data Analyst proficient in Power BI, Databricks, SQL, and Python to work in the insurance industry. The role is based in Hong Kong and offers a chance to contribute to meaningful data-driven projects.
Our client is a well-known Investment Bank with global presence. Currently, they are hiring for a Client Risk Analyst to join their private banking division as the first line of defence, ensuring strong risk controls and compliance.
A Trade Operations/ Settlement Officer role has opened up in a top international bank. This role is going to join the operation team to handle daily processes, settlements and services for equity and ETF products and to manage cash and position reconciliation reports. The candidate should have 2 years of experience in operations, settlement/ reconciliation with strong product knowledge in equity/ ETF and exposure to CCASS/ DCASS within banks/ FI firms.
We are looking for a Data Scientist with hands-on experience in Generative AI and Large Language Models (LLMs) to join our Research Department. You will play a key role in advancing our Digitalisation Programme by applying modern AI technologies-including foundation models, retrieval‑augmented generation (RAG), NLP pipelines, and automation-to support research, risk monitoring, and internal productivity.
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