Lead Developer, Trading Analytics

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

Job summary

ICE is looking for a lead engineer to oversee the development of its Trading Analytics platform. You will be responsible for the design and implementation of services that improve pricing, risk, and trading workflows.

The ideal candidate will have over 8 years of software engineering experience, proficiency in Java and Python, and expertise in AWS services. This role offers the chance to work in a dynamic environment, collaborating with quants and product teams.

Qualifications

• 8+ years of professional software engineering experience.
• Experience with cloud-native applications using AWS services.
• Experience building ETL pipelines using Databricks.

Responsibilities

• Lead technical direction on architecture and performance of the Trading Analytics stack.
• Design and maintain core services in Java and Python.
• Translate quantitative models into scalable systems.

Skills

Java

Python

AWS

Databricks

PySpark

Terraform

CI/CD

Education

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

Tools

Claude Code

Copilot

Cursor

Job description

Overview

We’re looking for a lead 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 Knowledge and Experience

• 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.