Senior Market Data Operations & Quality Analyst

Intercontinental Exchange Holdings, Inc.; Atlanta (GA); In loco; USD 70.000 - 105.000; Tempo pieno

Descrizione del lavoro

Intercontinental Exchange, Inc. is seeking an Analyst in the US region to join the front-line market data quality team responsible for monitoring, validating and onboarding cross-asset derivatives and listed market pricing into ICE Data Services systems and downstream products.

You will own the US leg of the 24/5 follow-the-sun model, manage data quality incidents and client queries, and help drive AI-enabled analytics and automation to reduce manual tasks and improve data accuracy.

Competenze

• Data quality ownership and monitoring of cross-asset market data.
• Incident management for production data and client queries.
• Experience handling end-to-end data queries and disputes.
• Familiarity with cross-asset instruments and market structures.
• Knowledge of AI-enabled analytics and automation initiatives.

Mansioni

• Data Quality Ownership: monitor, validate and onboard market data across tools.
• Client Query and Incident Management: own US queue, document responses, drive incidents to closure.
• AI-Enabled Analytics and Automation: set and execute automation roadmap to reduce manual tasks.

Conoscenze

Data quality ownership

Incident management

Client query handling

Cross-asset market data

AI/Automation roadmap

Formazione

BA / BSc in Finance, Economics, Business, Statistics, Financial Engineering, Mathematics or a related quantitative discipline

Descrizione del lavoro

Intercontinental Exchange, Inc. is seeking an Analyst in the US region to join the front-line market data quality team responsible for monitoring, validating and onboarding cross-asset derivatives and listed market pricing into ICE Data Services systems and downstream products.

You will own the US leg of the 24/5 follow-the-sun model, manage data quality incidents and client queries, and help drive AI-enabled analytics and automation to reduce manual tasks and improve data accuracy.