Senior Python Engineer - Rates Risk & PnL Platform

United States Digital Space LLC

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

J.P. Morgan in Singapore seeks an experienced Senior Python Developer to join the Athena Rates team, delivering risk and PnL systems for rates desks.

You will collaborate with quantitative analysts, traders and risk managers to design, implement, and integrate robust software across middle and back office processing, focusing on scalable, secure solutions for Swap Derivatives and Options products. This role emphasizes AI-assisted engineering practices to improve code quality and delivery speed,

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied Python experience.
Bachelor's Degree in Computer Science or equivalent
Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices
Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases
Strong verbal and written communication skills with ability to articulate technical concepts to both technical and non-technical stakeholders
Proven ability to gather requirements from business users and collaborate across multiple teams and functions
Capability to translate business needs into technical solutions and explain technical constraints in business terms
Willing to understand and work on legacy applications when required
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.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes

Responsibilities

Develop scalable, performant code that handles large volumes of market data and complex financial calculations.
Participate in architectural decisions, code reviews, and technical design sessions, contributing your expertise to shape the evolution of this automated risk platform.
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.