Risk Services - Digital Solutions Risk AI Services Off-Cycle Internship (Jan - Jun 26)
- Singapore
- Training
- Full-time
- 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.
- 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.
- 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.
- 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.
- 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 systems
- 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 upload
- Kindly note only shortlisted candidates will be contacted. Got a question?