Risk Services - Digital Solutions Risk AI Services Associate - 2026 Intake
PwC South AfricaSingapore, Singapore, Singapore17 days ago
Job descriptionLine of Service Assurance Industry / Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at RAIS brings together a diverse team of experts dedicated to building trust in AI and data-driven solutions. As trusted advisors, we empower organizations to confidently harness the transformative potential of AI and data while ensuring these technologies are governed by robust frameworks. We enable clients not only to manage risk but also to unlock strategic growth opportunities. At the core of our offerings is the facilitation of AI and data-driven strategies, with a strong emphasis on implementing tailored data governance and AI risk controls. We work alongside clients to develop comprehensive trust frameworks, validated controls, and governance structures that safeguard their critical data assets and models. By building innovative data platforms and AI solutions, we nurture client confidence in navigating the complex landscape of data and AI technology. Join a team committed to pioneering trusted AI capabilities and governing data assets to deliver insights that drive organizational success and integrity.As an Associate within RAIS, you will collaborate with experienced problem-solvers and subject matter experts to tackle intricate business challenges from strategy through execution. Your contributions will be essential to delivering impactful solutions for our clients, spanning the spectrum of AI and data-related services. Key responsibilities and skillsets include : Foundational Knowledge of Technology : Demonstrates a foundational knowledge of technology concepts and applications and how they can be applied to solve real-world problems. Problem Solving and Analytical Skills : Utilize analytical skills to tackle complex business challenges, interpret data, and offer strategic recommendations that drive informed decisions. Client Relationship Management : Build and maintain strong, trusted relationships with clients, acting as a trusted advisor by demonstrating a deep understanding of client needs. Team Collaboration : Collaborate effectively within diverse teams and with external stakeholders. Communication Skills : Demonstrate clear and persuasive communication, articulating ideas and insights effectively to ensure understanding by clients and team members. Professionalism and Integrity : Uphold high standards of professional conduct and demonstrate integrity in all interactions. Continuous Learning and Adaptability : Embrace a growth mindset and demonstrate a commitment to continuous learning. About you While diverse backgrounds and experiences are valued, ideal candidates possess a majority of the following qualifications : - Fresh graduates with a bachelor's or master's degree in analytically and quantitatively rigorous disciplines, such as Accounting, Actuarial Science, Business Analytics, Computer Science, Economics, Engineering, Finance, Information Systems, Mathematics, Statistics, or Software Engineering.- Demonstrated passion for technology, with experience in the following domains : Foundational Cloud Platforms Proficiency : Demonstrates knowledge and practical experience with foundational platforms like AWS, Azure, and GCP. Programming Skills : Possesses a solid understanding of programming, with practical experience in SQL, Python, and R. Data Visualisation Skills : Possesses foundational knowledge in data storytelling and visualization using tools like Power BI and Tableau. Requirement Translation and Technical Logic Design : Translate client needs into actionable technical solutions, bridging business challenges with structured technical implementation. Data : Demonstrates a foundational understanding of data structures, database systems, and data processing techniques. Desired skills include : Database, Datawarehouse and Data lake management and tools such as : SSMS, PostgreSQL, Snowflake, Databricks, Elasticsearch, Neo4J and MongoDB. Data architecture design and assessment (e.g. patterns to handle batch ingestion, near-real-time ingestion, event streaming, Pub / Sub models) Data modelling techniques for dimensional data models and conceptual-logical-physical models Data integration and management, through usage of ETL and API management tools such as : Informatica, AWS Glue, Apigee, MuleSoft, AWS API Gateway and Postman. Data quality and data governance concepts, and tools such as : Informatica Data Quality, SAP Data Quality Management, Collibra, Alation, Purview and Informatica. AI : Possesses knowledge and practical experience applying Automation, Analytics, AI and GenAI to solve business problems. Desired skills include : Experience and enthusiasm designing and executing projects that leverage Automation, Analytics, AI and GenAI to resolve business challenges Conceptual understanding of AI concepts (e.g., tree-based models, transformers etc), ability to explain such concepts to business stakeholders and translate them into business impacts Awareness of evolving technologies and methodologies in AI and familiarity with modern data science development tools Ability to identify a variety of risks (ethical, model etc) posed by the usage of AI systemsNote : Please note we accept only one application per candidate. You may indicate your second preference in the same application. We recommend that you apply to your preferred position that closely aligns with your skills, passions, and interests. You can indicate another role in the same application form. Duplicate entries will slow down your application with us. Kindly upload both your resume and degree audit or transcript in PDF format all under Resume attachment uploadEmail to sg\_graduate\ Education (if blank, degree and / or field of study not specified) Degrees / Field of Study required : Degrees / Field of Study preferred : Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not SpecifiedYesNo Job Posting End Date July 1, 2026
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Risk • Singapore, Singapore, Singapore
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