Job Description
Job Title: Senior/Lead Python Engineer
Job Location: Jersey City, NJ
Job Type:12+ Months Contract
W2 only
Job Descriptions:
Responsible for designing and building scalable, low-latency Python-based systems supporting front-office Short End Trading front to back systems
Ensures robust handling of trade lifecycle, validation, and downstream system integration (Risk, Finance, Ops)
Implement strong engineering practices to prevent data inconsistencies, trade capture errors, and lifecycle breaks
Addresses scalability challenges through well-architected services, efficient data models, and event-driven design
Acts as a key engineering link across Trading, Risk, Finance, and technology teams ensuring seamless data flow and system integration
Enables high-quality, predictable delivery supporting GFF growth, faster product onboarding, and reduced execution risk
Skills needed-
Python / ReactJS / Functional Programming
Strong domain expertise in Global Markets, with deep understanding of trade lifecycle including capture, margining, collateral management, lifecycle events, and settlement flows
Proven hands-on experience in end-to-end development using Python, covering design, development, testing, deployment, and production support
Strong application of object-oriented programming (OOPS) principles with focus on modular, scalable, and maintainable architecture
Experience designing and implementing object-based data models and working with object-oriented / NoSQL / distributed databases for trade, position, pricing, and risk data
Hands-on experience building front-office trade capture systems (Repo, TRS, SFT), including real-time trade ingestion, validation, enrichment, and processing
Strong understanding of system integration patterns including APIs, messaging, and event-driven architectures across FO, Risk, Finance, and Ops systems
Experience implementing data quality controls, reconciliation frameworks, auditability, and lineage for downstream Risk, PL, and Finance accuracy
Prior experience within GFF / FICC environments, with understanding of products, workflows, and operating models
Experience building high-performance, low-latency systems with focus on scalability, concurrency, caching, and distributed processing
Strong architectural and design skills with ability to build extensible, reusable, and loosely coupled systems
Ability to translate business requirements from Trading, Risk, and Operations into scalable technical solutions
Strong focus on automated testing (unit, integration, regression) and CI/CD pipeline implementation
Experience with large-scale platform buildouts, modernization, or re-platforming initiatives in active trading environments.