Senior Credit Risk Data Science Analyst

You will be responsible for supporting the Data Science team in Trade and Credit Risk Analytics at Dun & Bradstreet Technology and Corporate Services India LLP. You will work closely with the team based in India and across various Analytics leaders globally to ensure timely delivery. Key Responsibilities: - Work on developing B2B Risk solutions, including Standard and custom solutions for different clients, including fortune 500 companies - Collaborate with internal/external D&B clients and stakeholders, participating in all aspects of a modelling engagement - Utilize LLMs and prompt engineering to analyze large-scale, unstructured and structured B2B datasets for credit risk, fraud detection, and compliance - Design, develop, and test new risk signals to identify risk patterns effectively from structured and unstructured data - Serve as a Subject Matter Expert on risk models within the Analytics team and consult with business users on predictive modelling solutions - Develop AI Agents for business risk monitoring using ML and NLP to detect risk triggers and anomalies in real-time - Manage multiple assignments with challenging timelines, working independently and collaboratively in a team environment - Partner with the internal D&B team to develop new business solutions in risk analytics Key Skills: - Masters degree or higher in a quantitative discipline with 5 - 8 years of experience in Data Science - Proven experience in designing and developing Risk models and frameworks - Strong experience in Scorecard Development and applying Machine Learning Models using various techniques - Proficiency in Python and Pyspark for data manipulation and statistical analysis - Strong SQL skills and experience working with large datasets - Excellent client collaboration skills and the ability to communicate complex ideas to a technical and non-technical audience Preferred Skills: - Strong analytical mind and business acumen, especially in the Financial Services Industry - Working experience in applying modern machine learning techniques and staying updated on cutting-edge ML algorithms - Passion for learning ML explainability methods and technical writing skills - Familiarity with processing unstructured data and experience in NLP / LLMs is a plus You will be responsible for supporting the Data Science team in Trade and Credit Risk Analytics at Dun & Bradstreet Technology and Corporate Services India LLP. You will work closely with the team based in India and across various Analytics leaders globally to ensure timely delivery. Key Responsibilities: - Work on developing B2B Risk solutions, including Standard and custom solutions for different clients, including fortune 500 companies - Collaborate with internal/external D&B clients and stakeholders, participating in all aspects of a modelling engagement - Utilize LLMs and prompt engineering to analyze large-scale, unstructured and structured B2B datasets for credit risk, fraud detection, and compliance - Design, develop, and test new risk signals to identify risk patterns effectively from structured and unstructured data - Serve as a Subject Matter Expert on risk models within the Analytics team and consult with business users on predictive modelling solutions - Develop AI Agents for business risk monitoring using ML and NLP to detect risk triggers and anomalies in real-time - Manage multiple assignments with challenging timelines, working independently and collaboratively in a team environment - Partner with the internal D&B team to develop new business solutions in risk analytics Key Skills: - Masters degree or higher in a quantitative discipline with 5 - 8 years of experience in Data Science - Proven experience in designing and developing Risk models and frameworks - Strong experience in Scorecard Development and applying Machine Learning Models using various techniques - Proficiency in Python and Pyspark for data manipulation and statistical analysis - Strong SQL skills and experience working with large datasets - Excellent client collaboration skills and the ability to communicate complex ideas to a technical and non-technical audience Preferred Skills: - Strong analytical mind and business acumen, especially in the Financial Services Industry - Working experience in applying modern machine learning techniques and staying updated on cutting-edge ML algorithms - Passion for learning ML explainability methods and technical writing skills - Familiarity with processing unstructured data and experience in NLP / LLMs is a plus