Data scientist
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General Description of Initiative or Project:Develop and productionize automated solutions for reporting and quality assurance assessments supporting model risk management Responsibilities:Automate reporting across unstructured datasets using Python, SQL, Postgres, NLP and LLM tools.Develop, rewrite, and optimize code for reporting across different database structures and applications.Ensure data integrity throughout the automation process.Translate code logic, dashboards, and reporting metrics between environments and across applications.Responsibilities include understanding and querying large data sets; developing database frameworks to support automation requirements and assisting with data migration; optimizing performance within new database structures, ensuring efficient data migration; optimizing efficiency and reducing manual processing. Required Experience:Master's degree in engineering or financial analysis10 years' experience in quantitative modeling or data science5 plus years in financial services industry5plus years in Natural Language Processing (NLP) technologies and large language models (LLM)5 plus years in database programming, including Python, SQL, or Postgres Other Required Skills:Demonstrated ability to work effectively as a member of a virtual teamAbility to manage to strict deadlines as well as prioritize and perform tasks in a high-pressure environmentExcellent written and verbal communication skills