Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidates to support the Data Science team in Trade and Credit Risk Analytics. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill delivery on a timely basis

Key Responsibilities: Work on development of B2 B 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 Ability to applying LLMs, and prompt engineering to analyze large-scale, unstructured and structured B2 B 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 Serve as a Subject Matter Expert on risk models within the Analytics team and with business users; consult with the business, as appropriate, on predictive modelling solutions Develop AI Agents for business risk monitoring, 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 manage multiple assignments, many of which with challenging timelines Ability to work independently, as well as collaborate effectively in a team setting Partner with internal D&B; team to develop new business solutions in risk analytics

Key Skills:
What we are looking for: Master’s degree or higher with concentration in a quantitative discipline such as (Math/Stat, Economics, Computer Science, Finance, Operations Research, etc.) with 5 - 8 years of ex

📌 Data Science Analyst (Chennai)
🏢 Dun & Bradstreet India
📍 Chennai