Description

  • Monitor and validate daily trader curve upload, broker data feed, consensus data submission and pub index data in ZEMA
  • Develop dashboard tools to proactively identify data issues to improve daily PnL reports
  • Build new forward curves in per requests and improve existing forward curve modeling in ZEMA
  • Support quantitative analysis and modeling, systems upgrades and implementations, and
  • Trading Risk Management automation projects
  • Support the improvement of trade book position and limit reporting through AI tools
  • Assist in month-, quarter-, and year-end financial closing processes
  • Foster a risk aware culture, model high ethical standards, and be a champion for the company’s values of excellence, doing the right thing, and respect others
  • Bachelor’s or master’s degree in a computer science, data science or quantitative discipline such as Financial Engineering, Mathematics, or related fields
  • Strong programming skills in languages such as Python for conducting data analytics, 2+ years
  • Excellent proficiency in SQL, Excel and Pivot tables
  • Highly motivated, strong desire to grow into a quantitative analytical and modeling role
  • Collegiality and truly good interpersonal skills balanced with a disciplined risk management approach
  • Passionate about risk management

Key Skills
Education

Bachelor's or Master's degrees

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