Lead Specialty Software Engineer - E-Trading, Java, AI

Key responsibilities

Candidates applying for this position should be prepared to work in a fast‑paced Front Office software environment with the following expectations:

• Perform a senior‑level technical and analytics role developing software supporting equities trading, analytics, and automation workflows

• Lead the design and implementation of AI‑enabled analytics platforms, including data pipelines that support machine learning, GenAI, and advanced quantitative models

• Apply an AI‑centric mindset by leveraging and enhancing developer productivity tools (e.g., GitHub Copilot, Claude Code) and building agentic AI workflows for testing, validation, monitoring, and operational automation

• Provide mentorship and technical leadership to data, analytics, and software engineers in a high‑performing Agile environment

• Work directly with traders, Strat teams, and quants to understand requirements and translate them into robust, scalable technical solutions

• Create thorough system and application designs that integrate cleanly into existing low‑latency and distributed architectures

• Write high‑quality, performant, and maintainable code in Java and Python, applying object‑oriented principles, design patterns, and modern server‑side architectures

• Design systems that support time‑series analytics, model lifecycle management, and real‑time decisioning use cases

• Perform rigorous unit testing, documentation, and code reviews, including validation of AI‑assisted outputs for correctness, reproducibility, and explainability

• Solve complex technical and analytical problems requiring a strong understanding of equities trading workflows and business domains

• Ensure quality, extensibility, and reliability of low‑latency, highly available applications in production

• Provide Level 2 production support as required, including diagnosis of data quality, performance, and model‑driven issues

In this role, you will

• Lead moderately complex initiatives and deliverables within Equities Trading and Analytics technology environments

• Contribute to large‑scale platform strategy, including modernization, automation, and responsible AI adoption

• Design, code, test, debug, and document solutions for platform enhancements, upgrades, and deployments

• Review and resolve moderately complex technical challenges requiring deep evaluation of distributed systems, data platforms, and AI‑enabled components

• Apply strong understanding of business function, governance, policies, procedures, and compliance requirements when building AI‑assisted systems

• Collaborate with peers, senior engineers, product partners, and mid‑level managers to achieve technology and business goals

• Act as an escalation point and technical advisor, providing guidance to less experienced engineers

Required qualifications

• 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 5+ years of Software Engineering experience, with a strong focus on data‑intensive systems

• 5+ years of experience building analytics platforms, data services, or data‑driven applications

• 5+ years of experience with algorithms and data structures, particularly as applied to analytics and data processing

• 4+ years of experience designing and implementing distributed data systems

• 4+ years of experience with time‑series, relational, or analytical databases

• 4+ years of experience in Java for building high‑performance backend and data services

• 4+ years of experience in Python for analytics, data processing, and automation

Desired qualifications:

• Advanced experience in capital markets business processes

• Working knowledge of SEC, FINRA, and international regulatory considerations when building technology solutions

• Cash Equities and Global Markets trading workflow knowledge; FIX protocol experience

• Deep understanding of concurrency, memory management, and performance tuning in data‑heavy systems

• Experience with application lifecycle management from design through production support, including AI‑enabled or analytics‑driven systems

• Strong understanding of distributed and client‑server technology architectures

• Prior team lead and/or direct or matrix management experience

• Outstanding written and verbal communication skills appropriate for a Front Office environment

• BS/BA degree or higher