- AI Development & Leadership
- Lead by example through active involvement in coding prototyping and solution design for banking applications.
- Develop AI/ML models for credit scoring fraud detection risk assessment customer segmentation predictive analytics and conversational banking solutions.
- Oversee end-to-end AI model lifecycle including data acquisition pipeline design model training and deployment in secure financial environments.
- Ensure AI solutions adhere to CBSL guidelines local data protection laws (PDPA) and global compliance standards (e.g. PCI DSS).
- Integrate robust security measures to safeguard sensitive financial and customer data against cyber threats and breaches.
- Conduct comprehensive code reviews and apply design patterns for maintainability and scalability.
- Optimize model performance and inference speed to support real-time banking transactions and decision-making.
- Implement monitoring tools to ensure system uptime availability and response SLAs.
- Work closely with Product Risk Compliance and Digital Banking teams to identify impactful AI use cases and deliver practical solutions.
- Explore Generative AI and multimodal models for customer engagement virtual assistants and document automation.
- Stay updated with emerging AI trends in banking and introduce new capabilities to maintain a competitive edge.
- Mentor engineering teams and promote best practices in AI/ML development.
- Drive agile delivery cycles ensuring timely cost-effective and secure deployment.
- Manage third-party vendors or technology partners where required.
Requirements
- Bachelor s degree in computer science IT Data Science or Engineering (Master s preferred).
- Additional certification in AI/ML Data Analytics or Cloud Platforms (AWS GCP Azure) will be an advantage.
- Minimum 6 years of experience in AI/ML development with at least 3 years in the Banking Financial Services or FinTech domain.
- With a proven track record in fraud detection AML/KYC automation predictive credit scoring customer insights and risk analytics.
- Big Data platforms (Hadoop Spark) Data Warehousing and ETL pipelines.
- Hands-on experience with TensorFlow PyTorch Scikit-learn and related frameworks.
- Exposure to Core Banking Systems (Flexcube Finacle) Payment Platforms and API-driven integrations is highly desirable.
- Strong understanding of banking workflows compliance requirements and data privacy regulations in Sri Lanka
- Proficiency in Python Java SQL and cloud-native AI problem-solving communication and stakeholder management skills.
Bachelor s degree in computer science, IT, Data Science, or Engineering (Master s preferred). Additional certification in AI/ML, Data Analytics, or Cloud Platforms (AWS, GCP, Azure) will be an advantage. Minimum 6+ years of experience in AI/ML development, with at least 3 years in the Banking, Financial Services, or FinTech domain. With a proven track record in fraud detection, AML/KYC automation, predictive credit scoring, customer insights, and risk analytics. Big Data platforms (Hadoop, Spark), Data Warehousing, and ETL pipelines. Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and related frameworks. Exposure to Core Banking Systems (Flexcube, Finacle), Payment Platforms, and API-driven integrations is highly desirable. Strong understanding of banking workflows, compliance requirements, and data privacy regulations in Sri Lanka Proficiency in Python, Java, SQL, and cloud-native AI problem-solving, communication, and stakeholder management skills.