Lead Developer, Trading Analytics

ICE Clear Europe Limited; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

ICE Clear Europe Limited is seeking a Senior Engineer to lead the design of their Trading Analytics platform, focusing on optimizing pricing and trading workflows. You will work closely with quants and product teams to develop reliable, production-grade software.

The ideal candidate has a Bachelor's degree in a quantitative field, over 8 years of software engineering experience, and proficiency in Java and Python, particularly in cloud-native applications.

This role is based in Atlanta, Georgia.

Qualifications

• 8+ years of professional software engineering experience.
• Strong proficiency in Java and Python with high-performance applications.
• Experience automating deployments and infrastructure using Terraform and CI/CD.

Responsibilities

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

Skills

Java

Python

AWS

Databricks

PySpark

Terraform

Education

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

Tools

ETL pipelines

Cloud-native applications

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.