Graduate Program participant supporting Australia's Defence Industry through hands - on projects and professional development initiatives.
About the role
- Data Scientist focusing on model risk management at Capital One, leveraging advanced technologies for data-driven decision-making. Collaborating with diverse teams on risk identification and mitigation strategies.
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
- Leverage a broad stack of technologies — from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more — to reveal the insights hidden within huge volumes of multi-modal data
- Build machine learning models to challenge “champion models” that are deployed in production today and contribute to the model governance framework for the next generation of models
- Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives.
Requirements
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational or vector databases
Benefits
- Health insurance
- 401(k) matching
- Performance based incentive compensation
- Bonuses
- Comprehensive and competitive benefits
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