Senior AI Development/Support Lead, Hong Kong, Finance Sector

The client is seeking a highly skilled Senior AI Development/Support Engineer to lead the development and support of AI-driven solutions projects for anti-fraud activities and the detection of illegal activities. 

The ideal candidate will have a background in AI and Machine Learning, coupled with extensive experience in the finance sector (ideally). The role involves working closely with cross-functional teams to design, implement, and maintain advanced AI systems to enhance the Bank's fraud detection capabilities.

You may have opportunities to participate in some of these future projects. 

1. Real-Time Fraud Detection:
   Analyze transactions in real-time to identify suspicious patterns and behaviors that may indicate fraudulent activity and use Machine learning models to quickly process big data to flag potential fraud.

2. Predictive Analytics:
   Predict future fraud by analyzing historical data and identifying trends and patterns to allow Anti-Fraud Department to take proactive measures to prevent fraud before it occurs.

3. Anomaly Detection:
   Detect anomalies in transaction data that may indicate fraudulent activity and use them to train the AI model to become more accurate over time.

4. Natural Language Processing (NLP):
   Analyze unstructured data, such as emails and social media posts, to identify potential fraud. Help IT department to tune the Chatbots development/support projects to detect fraudulent intentions in customer interactions.

5. Automated Risk Assessment:
   Assess the risk level of transactions and customers, helping Risk/Anti-Fraud department to prioritize their investigations and allocate resources more efficiently.

6. Enhanced Customer Verification:
   Improve customer verification processes through biometric authentication, such as facial recognition and voice analysis to ensure that only legitimate customers can access their accounts.

7. Fraud Network Analysis:
   Analyze connections between different entities (e.g., accounts, transactions) to identify fraudulent networks and uncover complex fraud schemes.

Key Responsibilities:

1. AI System Development:
   Lead the design and implementation of AI algorithms and models to identify fraudulent activities and potential illegal transactions.
   Collaborate with data scientists and engineers to integrate AI models into existing systems and workflows.

2. Support and Maintenance:
   Provide technical support for AI systems, ensuring their smooth operation and continuous improvement.
   Troubleshoot and resolve issues related to AI models and applications.

3. Data Analysis:
   Analyze large datasets to extract valuable insights and patterns related to fraud and illegal activities.
   Develop and maintain data pipelines for real-time and batch processing.

4. Collaboration and Communication:
   Work closely with stakeholders, including compliance teams, to understand requirements and deliver AI solutions that meet business needs.
   Communicate complex technical concepts to non-technical stakeholders.

5. Research and Innovation:
   Stay updated on the latest advancements in AI, machine learning, and fraud detection technologies.
   Conduct research to explore innovative approaches to enhancing the company's AI capabilities.