Analyst II, Data Science (R-19484)

Work on development of B2B Risk solutions which includes Standard and custom solutions catering to various clients including fortune 500 companies

Work with internal / external D&B clients and stakeholders; Participate in all aspects of a modelling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting

Applying LLMs, and prompt engineering to analyze large-scale, unstructured and structured B2B datasets (e.g., Company News, Corporate Annual Reports) for credit risk, fraud detection, and compliance.

Design, develop and test new risk signals to effectively identify risk patterns from structured and Unstructured data

Develop AI Agents for business deploying autonomous agents. These agents utilize Machine Learning (ML) and Natural Language Processing (NLP) to detect risk triggers, anomalies in real-time, shifting risk management from reactive reporting to predictive, actionable insights

Ability to work on multiple assignments, many of which with challenging timelines

Ability to work independently, as well as collaborate effectively in a team environment

Partner with internal D&B team to develop new business solutions in risk analytics