Data scientist

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 analysis

• 10 years' experience in quantitative modeling or data science

• 5 plus years in financial services industry

• 5plus 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 team

• Ability to manage to strict deadlines as well as prioritize and perform tasks in a high-pressure environment

• Excellent written and verbal communication skills