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About the Role

Lead and mentor an agile team to architect, design, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. Build and operate low-latency, high-availability Python applications used directly by Rates trading desks for intraday risk, PnL, and decision support in a fast-paced, front-office environment.

Responsibilities

• Lead the design and development of Python-based live risk and PnL applications, driving continual, iterative improvements across product teams.
• Partner directly with Rates traders and stakeholders to translate business needs into reliable, low-latency technical solutions.
• Drive decisions on software solutions, architecture, design, development, and technical troubleshooting with a focus on strategic direction and production excellence.
• Design and implement secure, high-quality production code, with a strong focus on correctness, performance, and operational stability.
• Own architecture and design artifacts for complex, real-time systems, ensuring non-functional requirements (latency, throughput, availability) are met.
• Build and improve monitoring, alerting, and operational runbooks, and participate in production support/incident management as needed.
• Collaborate with DevOps and platform partners to improve CI/CD, deployment automation, and environment reliability.
• Mentor and coach junior and mid-level engineers through code reviews, technical guidance, and best-practice standards.
• Identify systemic issues (technical debt, performance bottlenecks, data quality gaps) and drive remediation aligned to long-term platform goals.
• Influence and shape a team culture of diversity, opportunity, inclusion, and respect.
• 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.

Requirements

• Hands-on experience in system design, application development, testing, and operational stability with a track record of leading complex technical initiatives.
• Advanced proficiency in Python, including building production services and performance-sensitive applications.
• Strong understanding of real-time/distributed system concepts (e.g., concurrency, messaging/streaming patterns, caching, failure modes).
• Experience delivering software in a large corporate environment with strong engineering standards (testing, code quality, security, SDLC).
• Practical experience with CI/CD, application resiliency, and secure engineering, including production monitoring and incident response.
• Proven ability to lead technical design discussions, mentor engineers, and partner effectively with business stakeholders.
• Strong problem-solving skills and ability to learn quickly and deliver high-quality outcomes under time pressure.
• 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.
• 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.

Skills

• Python
• CI/CD
• Application resiliency
• Secure engineering
• Production monitoring
• Incident response
• AI-assisted engineering
• Software Development Life Cycle (SDLC) tools
• Financial markets
• Rates products
• Risk
• PnL
• Market data
• Trade lifecycle
• Deephaven
• Java
• DevOps practices
• Low-latency services
• Observability
• Capacity/performance testing
• Environment management
• UI programming
• Event-driven architectures
• High-performance data pipelines

Location

• New York, NY

Work Type

• Onsite
• Full-time

Experience Level

• Lead
• Senior

About the Company

• J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors.
• Our first-class business in a first-class way approach to serving clients drives everything we do.
• We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
• We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
• J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments.
• Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries.
• The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Equal Opportunity

• We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
• We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
• We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.