Lead Developer, Trading Analytics

Intercontinental Exchange Holdings, Inc.

$120K — $150K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Financial Engineering, or a related quantitative field.
  • 8+ years of professional software engineering experience.
  • Experience with cloud-native applications using AWS services (S3, EC2, Lambda, IAM).
  • Hands-on experience with ETL pipelines using Databricks and PySpark.
  • Strong proficiency in Java and Python, particularly in creating high-performance applications.
  • Proficiency with AI-assisted coding tools like Claude Code or GitHub Copilot.
  • Ability to lead technical efforts in collaboration with cross-functional teams.

Responsibilities

  • Provide technical leadership across the Trading Analytics stack.
  • Design, build, and maintain core services using Java and Python.
  • Partner with Data Science and Product teams for scalable implementations.
  • Translate domain requirements from BAs and quants into software.
  • Ensure high standards for architecture, performance, and code quality.

Benefits

  • Opportunity to work at the intersection of capital markets and software engineering.
  • Collaborative environment with cross-functional teams of quants and product managers.
  • Focus on building innovative trading analytics solutions.
  • Engagement with cutting-edge cloud technologies.
  • Leadership role that allows for personal and professional growth.
Full 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.

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