Senior Associate Data Scientist presso Cba

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Senior Associate Data Scientist
Location: Bengaluru - Manyata Tech Park

Business & Team: Model Risk & Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards.

Impact & contribution: As a key member of our Model Risk & Validation team, you’ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, collaborating to uphold the integrity of our model risk framework while influencing the Group’s broader AI and transformation strategies.

Roles & Responsibilities:

• Model Validation – Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks.
• AI Evaluation Pipelines – Code in python or equivalent programming languages to establish evaluation pipelines for AI/Gen-AI models in a CI/CD environment.
• Stakeholder Engagement – Establish strong professional relationships with model developers, business units, to ensure transparency and alignment.
• Continuous Improvement – Develop and integrate AI-driven tools to enhance model development/validation quality and speed.

Essential Skills:

• 4+ years of experience in the financial services and/or technology sector, or relevant experience in research.
• Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and PyTorch; familiarity with version control (GitHub).
• Ability to solve technical problems and execute validation tasks independently.
• Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.
• Any experience with Gen-AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., LangChain, LangGraph) would be highly preferred.
• Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.

Education Qualification: Bachelor’s degree/Master’s degree/Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Physics.