Lead Software Engineer, Global Technology

Description

The Rates Live Risk & PnL team delivers real-time trading risk and profit & loss capabilities, partnering closely with traders and desk strategists. You will contribute to critical components across the stack-from data ingestion and calculation services to UI and operational tooling-ensuring performance, correctness, and resiliency under tight timelines and high business impact.

Job Responsibilities

. Design, develop, and support Python-based live risk and PnL applications used by Rates trading desks

. Work in a fast-paced trading environment, partnering closely with traders and stakeholders to translate business needs into robust technical solutions

. Build secure, high-quality production code with strong focus on correctness, performance, and operational stability

. Contribute to system design and implementation for real-time services, meeting non-functional requirements (latency, throughput, availability)

. Participate in production support, incident management, and continuous improvement of operational readiness (monitoring, alerting, runbooks)

. Collaborate with DevOps and platform partners to improve CI/CD, deployment automation, and environment reliability

. Identify and address technical debt and performance bottlenecks to improve platform scalability and responsiveness

. Collaborate effectively across functions (quants/strats, traders, product, other engineering teams) to deliver end-to-end solutions

. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

. Formal training or certification on software engineering concepts and 5+ years applied experience

. Bachelor's Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

. Hands-on experience in application development, testing, and operational stability in production environments

. Strong proficiency in Python for building production services and performance-sensitive applications

. Working knowledge of real-time/distributed system concepts (e.g., concurrency, messaging patterns, caching, failure modes)

. Solid understanding of the Software Development Life Cycle (SDLC), engineering hygiene, and secure coding practices

. Experience with CI/CD, observability, and operational excellence (monitoring, alerting, troubleshooting)

. Strong problem-solving skills ability to learn quickly and deliver high-quality outcomes under time pressure

. Effective communication skills and comfort partnering with front-office stakeholders

. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

. Financial markets background (Rates products, risk, PnL, market data, trade lifecycle)

. Exposure to Deephaven (or similar real-time analytics/UI platforms), including awareness of installation/runtime dependencies (e.g., Java), environment setup, and operational considerations

. Experience with DevOps practices (deployments, release processes, environment management, performance testing)

. Understanding of UI programming (web or desktop) and collaborating across UI/backend boundaries

. Familiarity with Java and/or mixed-language environments where Python services interact with JVM-based components

. Experience with event-driven architectures and high-performance data pipelines used in front-office systems

To apply for this position, please use the following URL:

https://ars2.equest.com/response_id=c43f3898e90f21c83b0936b44165c6f4