Senior/Lead Python Engineer

Enormous Enterprise LLC; Jersey City (NJ); On-site; USD 130,000 - 170,000; Full time

Job summary

Enormous Enterprise LLC in Jersey City, NJ is seeking a Senior/Lead Python Engineer to design and build scalable, low-latency Python systems for front-office trading platforms. You will ensure robust trade lifecycle handling and seamless downstream integration across Risk, Finance, and Ops.

The role requires hands-on end-to-end Python development, strong OOP, and expertise in APIs, event-driven architectures, and data models. Join a team shaping core trading workflows and platform modernization.

Qualifications

• Python, ReactJS, and functional programming expertise required.
• Deep knowledge of Global Markets and trade lifecycle including capture, margining, collateral management, lifecycle events, and settlement flows.
• Hands-on end-to-end development with Python across design, development, testing, deployment, and production support.
• Strong OOP with modular, scalable, maintainable architecture.
• Experience with object-oriented data models and NoSQL/distributed databases for trade, position, pricing, and risk data.
• Hands-on experience building FO trade capture systems with real-time ingestion, validation, enrichment, and processing.
• Proficient in APIs, messaging, and event-driven architectures across FO, Risk, Finance, Ops.
• Data quality controls, reconciliation, auditability, and lineage for downstream systems.
• GFF / FICC experience; understanding of products, workflows, and operating models.
• High-performance, low-latency systems focus on scalability, concurrency, caching, and distributed processing.
• Architectural/design skills to build extensible, reusable systems.
• Translate business requirements into scalable technical solutions.
• Emphasis on automated testing and CI/CD pipelines.
• Experience with large-scale platform buildouts or re-platforming in trading environments.

Responsibilities

• Design and build scalable, low-latency Python-based systems for front-office Short End Trading front-to-back processes.
• Ensure robust handling of trade lifecycle, validation, and downstream system integration (Risk, Finance, Ops).
• Implement strong engineering practices to prevent data inconsistencies and lifecycle breaks.
• Address scalability challenges through well-architected services, efficient data models, and event-driven design.
• Serve as key engineering liaison across Trading, Risk, Finance, and technology teams to ensure seamless data flow and integration.
• Enable high-quality, predictable delivery supporting growth, faster onboarding, and reduced execution risk.

Skills

Python

ReactJS

Functional Programming

Global Markets

Trade lifecycle

OOP

NoSQL

APIs

Event-driven

CI/CD

Testing

Low-latency

Job description

• 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

Company

Enormous Enterprise LLC

Location:

Jersey City, NJ

Pay

DOE

Posted

September 09, 2026

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.