Job Description
Job Purpose
Intercontinental Exchange (NYSE: ICE) is a Fortune 500 company that designs, builds and operates digital networks to connect people to opportunity. We provide financial technology and data services across major asset classes that offer our customers access to mission-critical workflow tools that increase transparency and operational efficiencies. We operate exchanges, including the Current York Stock Exchange, and clearing houses that help people invest, raise capital and manage risk across multiple asset classes. Our comprehensive fixed income data services and execution capabilities provide information, analytics and platforms that help our customers capitalize on opportunities and operate more efficiently. At ICE Mortgage Technology, we are transforming and digitizing the U.S. residential mortgage process, from consumer engagement through loan registration. Together, we transform, streamline and automate industries to connect our customers to opportunity.

We are seeking an Analyst, Index Operations with a primary focus on Python development,



leveraging Generative AI (Gen AI) and advanced Machine Learning methodologies to automate and enhance the quality of input data for our index franchise. You will be responsible for designing, implementing, and maintaining advanced algorithms and data pipelines that power thematic and benchmark indices, while ensuring alignment with both internal and regulatory standards.

Responsibilities
- Design and implement Python-based algorithms for systematic index rebalancing in compliance with specific index rulebooks.
- Incorporate logic to identify and explain constituent additions, deletions, and weight changes.
- Develop statistical models to impute missing values in historical datasets using real-world proxies and techniques.
- Detect and resolve high-variance anomalies using outlier detection, clustering, and time-series analysis.
- Identifying, extracting, and transforming unstructured data into struct

📌 Analyst, Index Operations (Hyderabad)
🏢 ICE
📍 Hyderabad