Description

Manage data integrity and quantitative modeling support for trading operations.

This role is on-site.

Responsibilities

• Monitor and validate daily trader curve uploads, broker data feeds, consensus data submissions, and pub index data in ZEMA.
• Develop dashboard tools to proactively identify data issues and improve daily PnL reports.
• Build new forward curves and improve existing modeling within ZEMA.
• Support quantitative analysis, modeling, systems upgrades, and Trading Risk Management automation projects.
• Assist in month-, quarter-, and year-end financial closing processes.

Required Skills

• 5+ years of professional experience.
• Strong programming skills in Python for data analytics.
• Excellent proficiency in SQL.
• Advanced Excel skills, including Pivot tables.
• Experience with ZEMA.
• Background in Risk Management.
• Bachelor's or Master's degree in Computer Science, Data Science, Financial Engineering, Mathematics, or a related quantitative discipline.

Key Skills

Education

Bachelor's or Master's degrees