Found Description
Key Responsibilities
Design, develop, and deploy machine learning models that drive automated decisioning across risk processes.
Integrate large language models to enable next‑generation agentic AI solutions for risk assessment and compliance.
Apply sentiment analytics to interpret unstructured data and enhance risk insights.
Collaborate with data scientists and business stakeholders to translate analytical findings into actionable risk strategies.
Maintain model performance, monitor drift, and implement continuous improvement cycles.
Requirements
Proven experience in machine learning and artificial intelligence applied to risk or financial services.
Hands‑on expertise with large language models (e.g., GPT, LLaMA) and automated decisioning frameworks.
Strong analytical skills with proficiency in Python, SQL and data visualization tools.
Excellent communication skills to translate technical concept...
Design, develop, and deploy machine learning models that drive automated decisioning across risk processes.
Integrate large language models to enable next‑generation agentic AI solutions for risk assessment and compliance.
Apply sentiment analytics to interpret unstructured data and enhance risk insights.
Collaborate with data scientists and business stakeholders to translate analytical findings into actionable risk strategies.
Maintain model performance, monitor drift, and implement continuous improvement cycles.
Requirements
Proven experience in machine learning and artificial intelligence applied to risk or financial services.
Hands‑on expertise with large language models (e.g., GPT, LLaMA) and automated decisioning frameworks.
Strong analytical skills with proficiency in Python, SQL and data visualization tools.
Excellent communication skills to translate technical concept...
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