Data Scientist

CIMB; Kuala Lumpur; On-site; MYR 80,000 - 100,000; Full time

Job summary

A leading financial institution in Kuala Lumpur is seeking a skilled data analyst with 2-5 years of experience in statistical modeling and machine learning. The candidate will support Big Data analytics initiatives, conduct exploratory data analysis, and ensure compliance with regulations. A Bachelor's degree in a relevant field is required, along with proficiency in tools like TensorFlow, SQL, and Docker. This role offers a dynamic environment for growth and innovation in data analytics.

Qualifications

• 2-5 years of hands-on experience in statistical modeling using machine learning and AI.
• Bachelor's Degree or Professional Qualification in Financial/Engineering/Computer Science/Actuarial Science/Statistics.
• Experience with MLOps tools and cloud-based data analytics.

Responsibilities

• Support Big Data analytics for MY initiatives.
• Conduct exploratory data analysis and model development.
• Ensure compliance with Group, local and regional regulations.

Skills

Statistical modeling

Machine learning

Data analysis

Neural networks

Presentation skills

Education

Bachelor's Degree in relevant discipline

Tools

TensorFlow

PyTorch

Docker

Kubernetes

SQL

Excel

QlikView

Job description

Key Responsibilities:

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

Required Competencies and Skills:

• Relevant work experience - Candidate must have at least 2- 5 years of hands on experience in statistical modeling using machine learning and AI techniques
• Qualifications - Bachelor's Degree or Professional Qualification in the relevant discipline (Financial/Engineering/Computer Science/Actuarial Science/Statistics)

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 (Soft Competencies [Core/Leadership])

• 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