Analyst II Data Science

The Analyst II will develop B2B Risk solutions including standard and custom solutions for Fortune 500 companies. The role involves working on all aspects of modeling engagements including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. Responsibilities include applying LLMs and prompt engineering to analyze large-scale unstructured and structured B2B datasets, designing and developing new risk signals, developing AI Agents for business deploying autonomous agents using ML and NLP to detect risk triggers and anomalies in real-time. This position also offers exposure to enterprise-wide analytics transformation programs and the chance to influence strategic decision-making at a senior level.

Master's degree in quantitative discipline with 2-5 years of Data Science experience. Experience in risk model development. Application of ML models using Xgboost, LightGBM, Random Forest, Neural Networks. Strong programming in Python and PySpark. Strong SQL skills. Diploma or Any Postgraduate qualification. Candidates should demonstrate strong analytical thinking, attention to detail, and the ability to manage multiple priorities in a fast-paced, deadline-driven environment. A collaborative mindset, willingness to mentor junior team members, and adaptability to changing business needs are highly valued for this role.