Graduate Trainee - Finance Analyst (Data Analyst)

AMD; George Town; Hybrid; MYR 185,000 - 268,000; Full time

Job summary

A leading technology company is seeking a Data Science Analyst in Penang, Malaysia. The role requires strong SQL and Python skills to analyze financial data and deliver insights using machine learning techniques. Responsibilities include developing predictive models, building data pipelines, and collaborating across teams to drive business growth. Candidates should have a relevant degree and experience in data analysis. This position offers a hybrid work environment and promotes a diverse and inclusive culture.

Benefits

Competitive salary

Career advancement opportunities

Inclusive company culture

Qualifications

• 1-2 years of experience in data science, financial analytics, or business intelligence.
• Proficiency in Python, SQL, and ML libraries.
• Experience with data visualization tools and big data technologies.

Responsibilities

• Develop and deploy predictive models using machine learning algorithms.
• Design and implement generative AI solutions for workflow automation.
• Build and maintain scalable data pipelines and infrastructure.
• Automate reporting processes and improve data pipelines.

Skills

SQL

Python

Machine Learning

Data Visualization

Problem Solving

Education

Bachelor’s degree in Finance, Data Science, Accounting, Statistics, or a related field

CFA, MBA, or CPA

Tools

Airflow

KNIME

Snowflake

Hadoop

Spark

Power BI

Tableau

Scikit-learn

TensorFlow

PyTorch

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.

Together, we advance your career.

The Role

This hybrid role leverages advanced data science and AI expertise to transform financial and business data into actionable insights, drive predictive modeling, and automate processes for improved efficiency and strategic decision-making. The analyst will collaborate across finance, sales, operations, and data engineering teams to deliver scalable solutions that optimize performance, minimize manual tasks, and support business growth.

The Person

You are a passionate data science professional with strong SQL and programming skills (Python preferred), and a solid understanding of statistics and machine learning algorithms. Detail-oriented and business-savvy, you thrive in fast-paced environments, effectively managing competing priorities and meeting deadlines. You excel in collaborative settings, bringing project management and stakeholder engagement skills, and are comfortable working with large datasets and complex financial systems.

Your strong problem-solving abilities are complemented by an understanding of master data and its impact on financial accuracy. With keen business acumen, you can translate data insights into strategic financial outcomes and communicate effectively with both technical and non-technical stakeholders.

Key Responsibilities

• Develop and deploy predictive models (e.g., credit risk, fraud detection, revenue forecasting) using machine learning algorithms and time-series techniques (ARIMA, Prophet, XGBoost, Random Forest).
• Design and implement generative AI solutions (LLMs, GANs) for workflow automation, information retrieval, and decision support.
• Build and maintain scalable data pipelines and infrastructure using tools like Airflow, KNIME, Snowflake, Hadoop, and Spark.
• Automate reporting processes and improve data pipelines for accuracy and efficiency.
• Perform exploratory data analysis and create visualizations (Power BI, Tableau, Plotly, Matplotlib) to communicate insights to stakeholders.
• Manage master data across financial systems to ensure consistency and integrity.
• Collaborate with cross-functional teams to translate business needs into technical requirements and deliver impactful solutions.
• Ensure compliance with data governance, financial regulations, and quality standards.
• Continuously experiment with new AI tools and techniques to drive innovation and process improvement.

Preferred Experience

• 1-2 years of experience in data science, financial analytics, or business intelligence.
• Proficiency in Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch).
• Experience with data visualization tools and big data technologies.
• Strong business acumen and ability to communicate technical concepts to non-technical stakeholders.
• Exposure to ERP systems (SAP S4 preferred), master data management, and financial reporting.
• Experience with process improvement, automation, and project-based work.
• Excellent stakeholder management and communication skills.

Academic Credentials

• Bachelor’s degree in Finance, Data Science, Accounting, Statistics, or a related field.
• Chartered Financial Analyst (CFA), Master of Business Administration (MBA), or Certified Public Accountant (CPA) is an advantage.

LOCATION

Penang, Malaysia

Benefits offered are described:

AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.