Senior Associate - Data Engineer (RMS)(PwC Acceleration Center Kuala Lumpur)

Overview

Industry / Sector Technology

Specialism Actuarial Services

Management Level Senior Associate

Job Description & Summary

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.

In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to :

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Key Responsibilities

Data Engineering & Modeling :

Cloud Data Solutions :

Machine Learning & AI Support :

Analytics Enablement & Financial Modeling

Collaboration & Leadership

Required Qualifications & Skills

Educational Background

Financial Engineering, Accounting, Finance, Applied Finance, Investment Banking, Economics, Statistics, Actuarial / Financial Mathematics, Computer Science, Data Science, or other quantitative fields.

Technical Proficiency

Python (or equivalent programming languages)

Data modeling, relational database design, normalization, referential integrity, and data warehousing principles

Domain Knowledge

Certifications

Soft Skills

Travel Requirements

Not Specified

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