Job Responsibilities:
- Developing automated capabilities (e.g., targeted reporting, diagnostics) that support core Risk ID objectives (e.g., maintaining data quality of the MRI and integrity of quarterly processes)
- Identifying, scoping and developing strategic statistical capabilities that help develop a forward-looking view of the firm's risk profile
- Conducting analysis leveraging the MRI and other sources of data to distill high-level themes
- Developing audience-appropriate written communications and reports
Required qualifications, capabilities and skills:
- Minimum Bachelor’s degree in a quantitative or technical field (e.g., statistics, mathematics, quantitative economics, computer science)
- Core proficiency in developing and implementing Large Language Models (LLMs)/Machine Learning (ML) driven capabilities
- Comfort with ambiguity and problem-solving mindset - specifically the ability to bridge business objectives and required technical approach
- Ability to leverage relevant components in the LLM ecosystem including relevant languages (e.g., Python) and accompanying toolsets (e.g., Opensource models and repositories)
Preferred qualifications, capabilities and skills:
- Expertise in traditional econometrics or statistics is highly preferred
- Additional expertise in traditional econometrics or statistics is highly preferred