Data scientist Senior associate
- Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications.
- Build and maintain APIs to enable seamless integration of AIML models with business applications.
- Use your programming skills in Python and design integrated solutions using the latest technology.
- Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions.
- Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management.
- Build and iterate on prototype solutions.
- Develop robust, production-ready code for AIML models and analytical applications.
- Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.
- Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions.
- Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).
- 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG).
- Strong Proficiency in Python.
- Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis.
- Proficiency with data table operations (SQL, etc.).
- Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx.
- Demonstrated knowledge of data architecture that is ideal for generative AI solutions.
- Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.
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