Quantitative Business Analyst, Product Development

Intercontinental Exchange Holdings, Inc.; Atlanta (GA); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading trading and market solutions firm in Atlanta is seeking a Quantitative Business Analyst to support the Derivative Valuations Platform. The ideal candidate should have a solid background in finance and data modeling, along with strong analytical and communication abilities. Key responsibilities include analyzing business needs, collaborating with multiple teams, and ensuring clear technical communication. This role demands proficiency in SQL, Excel, and familiarity with financial derivatives.

Qualifications

• 2+ years of experience in business analysis, data analytics, or a quantitative role in finance, fintech, or consulting.
• Strong understanding of statistical methods, financial principles, or risk analysis.
• Proficiency in SQL and strong Excel skills.

Responsibilities

• Analyze and translate complex business needs into functional and quantitative requirements.
• Support testing and implementation of settlement technology platform enhancements.
• Act as a liaison between the business and technology areas for data-related requirements.

Skills

Analytical capabilities

Communication skills

Understanding of business processes

Data modeling

Financial derivatives knowledge

Education

Bachelor’s degree in quantitative fields

Tools

SQL

Excel

Python

R

Job description

Overview

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.

We are seeking a Quantitative Business Analyst to join a team that plays a critical role in the firm's success by supporting the Derivative Valuations Platform, which delivers daily pricing valuations for all Exchange-Cleared Futures and Options. The ideal candidate will bring a strong background in finance, data modeling, and product development, along with the ability to analyze complex models, define business requirements, and lead their implementation into production. This role requires strong analytical capabilities, a solid understanding of business processes, and the ability to clearly communicate complex technical concepts to diverse stakeholders across both technical and business functions.

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.