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Intercontinental Exchange - ICE Quantitative Business Analyst Product Development 
United States, Georgia, Atlanta 
840439020

04.09.2025

Job Purpose

At Intercontinental Exchange, our exchanges and clearing houses across North America, Europe and Asia, deliver risk solutions across asset classes and time zones. Whether its hedging, investing or capital raising, our markets, clearing houses and data help transform challenges into opportunities.

Responsibilities

  • Analyze and translate complex business needs into functional and quantitative requirements with a focus on derivative pricing and settlement workflows.
  • Collaborate with stakeholders across product, finance, data science, risk, and engineering teams to implement data-driven solutions.
  • Support testing and implementation of settlement technology platform enhancements for production systems.
  • Effectively translate complex financial and mathematical concepts into business-friendly language, and vice versa, to ensure alignment between technical and business teams
  • Act as a liaison between the business and technology areas to ensure that data-related business requirements are clearly defined, communicated, and well understood and considered as part of operational prioritization and planning.
  • Prior experience working with financial derivatives (e.g., futures, options, or other structured products).
  • Interface with Clearing/Risk platforms to understand and implement required settlement enhancements.
  • Adhere to company software development processes and standards.
  • Assist operations with incident resolution.
  • Follow changes in market trends as they relate to derivatives pricing.

Knowledge and Experience

  • Bachelor’s degree in quantitative fields such as Mathematics, Finance, Economics, Engineering, Computer Science, or related.
  • 2+ years of experience in business analysis, data analytics, or a quantitative role in finance, fintech, or consulting.
  • Proficiency in SQL and strong Excel skills.
  • Experience with Python , R , or other scripting languages used for data analysis or modeling.
  • Strong understanding of statistical methods, financial principles, or risk analysis.
  • Excellent communication skills; ability to convey complex quantitative findings to non-technical audiences.
  • Ability to work in a fast-paced environment and meet daily deadlines
  • Must possess excellent written and oral communication skills; technical and functional business writing skills required.
  • Ability to effectively facilitate requirements gathering sessions, reviews, and issue resolution involving multiple stakeholders