Lead Developer, Trading Analytics

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.

#LI-CP1