Front Office Python Developer – Capital Markets (Hybrid, USC/GC)

Matlen Silver; Jersey City (NJ); On-site; USD 83,000 - 90,000; Full time

Job summary

Matlen Silver is seeking a skilled developer to analyze and build trading application components, including remote risk stack and analytics for hedge accounting platforms. You will work on modern tech stacks, REST APIs, containers, and front-end UI using Angular/Spring.

Ideal candidates have strong Python programming, financial instrument knowledge, and experience in risk and pricing applications within a banking environment. Onsite Jersey City with USC/GC eligibility is required.

Qualifications

• 5+ years hands-on programming in an OO language, preferably Python.
• 3+ years as senior developer on front-office banking applications; knowledge of fixed-income products a plus.
• 3+ years as a quantitative researcher and developer with finance data analysis.
• 2+ years in risk and pricing application development.
• 3+ years in REST, ReactJS or full-stack development.
• Experience with object databases and relational databases.
• Python experience necessary.

Responsibilities

• Advanced knowledge of Python
• Creative, quick-thinking problem solver with technology
• Extensive experience with design and architectural patterns
• Knowledge of bonds, interest rate swaps, repos and FX products
• Understanding of risk and P/L generation for these instruments
• Experience with API management, REST integration, containers and microservices
• Web UI experience with Angular/Spring and CI/CD tools
• Ability to work independently and in high-functioning teams
• Knowledge of Quartz components (Sandra, Bob, Hugs)
• Experience with Quartz remote risk framework and calculators

Skills

Python

REST APIs

OO design

Problem solving

Team collaboration

Angular

Spring

CI/CD

Tools

Angular

Spring

CI/CD

Job description

Matlen Silver is seeking a skilled developer to analyze and build trading application components, including remote risk stack and analytics for hedge accounting platforms. You will work on modern tech stacks, REST APIs, containers, and front-end UI using Angular/Spring.

Ideal candidates have strong Python programming, financial instrument knowledge, and experience in risk and pricing applications within a banking environment. Onsite Jersey City with USC/GC eligibility is required.