Cross Asset Market Data Analyst
@ ICE

Tel Aviv-Yafo, Tel Aviv District, Israel
$120,000
On Site
Full Time
Posted 21 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXX******* @ice.com
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Job Details

Job Purpose

The Cross Asset Market Data Analyst is responsible for monitoring, validating, and analyzing cross asset derivatives and listed markets. The role includes onboarding OTC and listed market data pricing into ICE Data Services systems and downstream products.

Responsibilities

  • Monitor and validate cross asset raw and derived market data using in-house analytical tools.
  • Provide customers with accurate, real time, and historical responses to data related queries.
  • Collaborate with internal departments such as operations and support.
  • Perform data quality checks and uploads.
  • Analyze cross asset market data using Excel, SQL, and in-house tools.
  • Troubleshoot data inconsistencies.
  • Monitor global financial news.
  • Maintain documentation and implement quality assurance improvements.

Knowledge And Experience

  • BA/BSc in Business, Finance, Statistics, Economics or Financial Engineering.
  • Proficient in Excel and SQL is an advantage.
  • Interest and familiarity with financial markets.
  • Team player, independent, and a fast learner.
  • Ability to work under pressure; organized and detail oriented.

Key skills/competency

  • Market Data
  • Analysis
  • Validation
  • Derivatives
  • Listed Markets
  • Excel
  • SQL
  • Financial Markets
  • Documentation
  • Quality Assurance
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How to Get Hired at ICE

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant market data and analysis skills.
  • Research ICE: Understand their systems and financial markets focus.
  • Showcase technical skills: Emphasize Excel, SQL, and troubleshooting abilities.
  • Prepare for interviews: Practice competency and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Practice Excel data manipulation tasks.
Enhance SQL query writing skills.
Review financial market data tools.
Familiarize with in-house analysis software.

Behavioral Questions

Describe a challenging data project.
Explain teamwork in data troubleshooting situations.
Discuss handling pressure with deadlines.
Share improvement ideas for process documentation.

Frequently Asked Questions