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Job Title: Quantitative Model Validation Engineer
Location: Buffalo, NY - hybrid min. 3 days/week at the office
Duration: 8-9 Months with potential extensions
Interview process - 3 rounds
Role Purpose
The Model Validation team is responsible for independently validating and monitoring cross-asset models and analytics delivered by LSEG to its clients.
Essential Skills And Qualifications
- Solid understanding of quantitative models and methodologies, with the ability to critically assess and validate them.
- Strong proficiency in Python (good development practices) and experience with key data structures and libraries.
- Knowledge of financial markets, products, and pricing frameworks.
- Strong problem-solving skills and the ability to work on sophisticated model-related challenges.
Key Responsibilities
- Design and implement a validation framework to assess the performance of analytics produced by LSEG quantitative Libraries.
- Perform in-depth validation of quantitative models and evaluate them using relevant performance metrics.
- Design and implement a technical solution to validate and monitor financial models
- Develop an understanding of the quantitative library and its key components.
- Produce clear, well structured validation reports and present findings to internal collaborators.
- Define model testing strategies and document model methodologies and assumptions.
- Contribute to build and maintain the automated tests framework.
- Apply strong knowledge of financial markets, including pricing conventions, valuation assumptions.
- Deliver high quality insights and support with a strong customer focused mindset.
- Solve complex analytical and technical problems with a high degree of independence.
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