Lead Developer, Trading Analytics

Intercontinental Exchange (ICE); Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

Intercontinental Exchange (ICE) in Atlanta is seeking a senior engineer to lead the design and evolution of our Trading Analytics platform. You will guide the technical direction on architecture, performance, and code quality while collaborating with quant teams and product managers.

The role requires extensive experience with Java and Python, cloud-native applications, and a strong mathematical background. This position offers the opportunity to work on complex financial models in a fast-paced environment.

Qualifications

• 8+ years of professional software engineering experience.
• Experience designing and developing cloud-native applications.
• Hands-on experience building ETL pipelines.

Responsibilities

• Provide technical leadership across Trading Analytics stack.
• Design, build, and maintain core services in Java and Python.
• Partner with Data Science and Product teams.

Skills

Java

Python

AWS Services (e.g., S3, EC2, Lambda)

ETL Pipelines

Terraform

CI/CD Pipelines

PySpark

AI-assisted coding tools

Education

Bachelor's degree in Computer Science, Financial Engineering, or related quantitative field

Job description

Overview

Job Purpose

We're looking for a senior engineer to lead the design and evolution of our Trading Analytics platform, the set of services that help our clients manage and optimize their pricing, risk, and trading workflows. You'll work at the intersection of capital markets, quantitative modeling, and modern cloud infrastructure, partnering closely with quants, product managers, and clients to turn complex financial models into fast, reliable, production-grade software.

Responsibilities

• Provide technical leadership across the Trading Analytics stack, setting direction on architecture, performance, and code quality.
• Design, build, and maintain core services in Java and Python, with a strong focus on numerical accuracy and computational efficiency.
• Partner with Data Science and Product teams to translate quantitative models into scalable, low-latency, production-ready systems.
• Translate domain requirements from BAs and quants into robust software that supports real-world trading workflows.

Knowledge and Experience

• Bachelor's degree in Computer Science, Financial Engineering, or a related quantitative field.
• 8+ years of professional software engineering experience.
• Demonstrated experience designing and developing cloud-native applications using AWS services such as S3, EC2, Lambda, IAM, as well as automating deployments and infrastructure using Terraform and CI/CD pipelines.
• Hands‑on experience building ETL pipelines using Databricks and developing notebooks and jobs in PySpark for large‑scale data processing and analytics.
• Strong proficiency in Java and Python, with a track record of shipping high-performance, multi-threaded, production-grade applications.
• Proficiency with AI‑assisted coding tools (e.g., Claude Code, Copilot, Cursor) and a demonstrated ability to use them effectively to accelerate development without compromising code quality.
• Demonstrated ability to lead technical work in a fast‑paced environment and collaborate across quants, product managers, and engineering teams.

Preferred Qualifications

• Familiarity with capital markets and fixed income instruments.

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.