Key Responsibilities
JOB DESCRIPTION
Strategy and Planning
- Support Big Data analytics for MY initiatives.
- Leverage state of the art algorithms to deliver value of big data to business.
Business and Performance and Management
- Exploratory data analysis and model development using state-of-the-art methods, keeping abreast with latest developments in machine learning and applying them to solve business problems
- Selecting features, building and optimizing classifiers using machine learning techniques
- Extending company's data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Perform analysis and presenting results in a clear and concise manner
- Creating automated model automation to produce periodic output systems and constant tracking of its performance
- Building and integrating Large Language Model (LLMs) and LangChain into the business processes
Regulatory Compliance
- Ensures all Group Consumer operations are in compliance with Group, local and regional regulations
Qualifications
Bachelor's Degree or Professional Qualification in the relevant discipline (Financial/Engineering/Computer Science/Actuarial Science/Statistics)
Relevant Work Experience
Candidate must have at least 5-6 years of hands on experience in statistical modeling using machine learning and AI techniques
Key Competencies
Technical/Functional skills
- Demonstrated experience in applying and implementing machine learning techniques such as neural networks, SVM, recommender engines, deep learning algorithms (e.g., TensorFlow, PyTorch), etc.
- Some knowledge of NLP, computer vision, and other generative AI techniques (e.g., GPT, BERT, GANs) is encouraged
- Strong knowledge of common data science toolkits like tools like R / Python.
- Experience with MLOps tools and practices, including version control, CI/CD, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
- Familiar in SQL and visualization tool such as Excel and QlikView,
- Knowledge in Big Data Tools (e.g. Hive, Impala, Hadoop and Spark) is an added advantage.
- Hands-on experience utilizing cloud base data analytics offering and services is an added advantage
Personal skills
- Ability to manage AI/ML projects, including model development, testing, deployment, and monitoring.
- Strong presentation and influencing skills required to put forward solution/ model to solve business problems
- Active team player that support various solution/ model initiatives across the bank
- Builds strong culture of excellent service and high performance
