About this role
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 regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes. 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. Minimum years experience required 3–7 years of relevant experience in software development, machine learning, analytics, or AI solution development. Additional application instructions Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or related field Strong Python skills and working knowledge of SQL. Experience building and deploying AI/ML solutions. Familiarity with Docker and containerized deployment workflows. Strong analytical, problem-solving, and stakeholder communication skills.