Job Responsibilities
- Develop AI/ML capabilities that can help identify emerging fraud risk vector and enhance our capability to defend against it
- Collaborate with stakeholders to meet business requirements and provide guidance on leveraging machine learning solutions
- Work with technology partners to implement the solution to meet business demand
- Follow the protocol and procedures when dealing with sensitive data, and firm’s policy and guideline when interacting with control, governance and regulatory bodies
- Work with other team members in a collaborative and inclusive manner
Required qualifications, capabilities and skills -
- Graduate degree in Computer Science, Electrical Engineering, Mathematics, Statistics, Operations Research, Physics, and other related quantitative fields
- Hands on experience with developing and deploying neural network models (deep learning, reinforcement learning, etc.) using PyTorch or TensorFlow
- Hands on experience with fine tuning pre-trained generative AI models (Stable Diffusion, Flux, or LLMs, etc.)
- Highly proficient in general programming language such as Python and its ecosystem
- Hands on experience with typical development toolchain such as IDE (VS Code, IntelliJ, etc.), version control system (Git), and Cloud development environment (AWS, etc.)
- Strong analytical experience in explorative data analysis and a good communicator
- Strong interest in keeping up with the current technology advancement and ability to implement the solution
Preferred qualifications, capabilities and skills -
- Experience with research in generative AI models
- Familiarity with structured database and languages such as SQL, Spark; graph database and language such as GSQL, etc.