Lead Python Engineer: Real-Time Markets & AI-Driven Trading

United States Digital Space LLC

Greater London

Hybrid

GBP 90,000 - 140,000

Full time

14 days+

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Job summary

J.P. Morgan is seeking a Lead Software Engineer for the Rates Nonlinear team within Markets Technology in the EMEA region.

You will lead design and delivery for real-time marking, pricing, and market data platforms, partnering with front office traders and quantitative researchers to drive the technical agenda. You will oversee secure production code development, code reviews, and AI-assisted engineering practices to boost quality, speed, and stability across cross-functional teams in a

Qualifications

Formal training or certification on software engineering concepts and advanced applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced in one or more programming language(s); strong knowledge of Python.
Demonstrated experience leading effective use of approved AI-assisted software development tools 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.
Proficient in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
In-depth knowledge of the financial services industry and their IT systems.
Practical cloud native experience.
Experience working closely with front office and/or quantitative research and trading in a markets environment.
Genuine interest in nonlinear rates markets and the businesses they support.

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems, focused on real-time marking, pricing, and market data for the Rates Nonlinear trading desk.
Develops secure and high-quality production code, and reviews and debugs code written by others.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes.
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.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Owns the technology agenda for the EMEA region, setting direction and ensuring timely, high-quality delivery in partnership with front office traders and quantitative research and trading.
Drives cross-functional initiatives across Risk Technology, Market Data Technology, and related platforms to deliver integrated solutions across the trade lifecycle.
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Builds strong, trusted relationships with front office and quantitative research and trading stakeholders, translating market and analytical needs into technical solutions.
Contributes to a team culture of diversity, opportunity, inclusion, and respect.