Front Office Desk Developer – Python, Trading Tools

emagine Group; Greater London; Presencial; GBP 144.000 - 188.000; Tempo integral

Resumo da vaga

emagine is seeking a Python Desk Developer for our London office. You will design and build trading, risk, and pricing tools in Python and VBA to support live trading operations in a front office environment.

As part of the desk, you will develop models for pricing non-linear rates products, create APIs for integration, and work with central risk development to ensure compatibility with the firm’s risk platform, while acting as a first point of contact for traders.

Qualificações

• Must have strong Python programming capabilities.
• Experience working in a front office trading setting.
• Ability to design and implement pricing/models for derivatives.
• Understanding of interest rate derivatives is preferred.

Responsabilidades

• Build desk tools: design and implement trading, risk, and pricing tools using Python and VBA.
• Develop models: create and improve pricing and analytics models for non-linear rates products.
• Work with central risk development: partner with Quartz teams to ensure compatibility with the firm’s risk platform.
• Create APIs: build APIs for existing tools and systems for better integration.
• Support the desk live: act as the first contact for traders on various issues, fixing root causes of problems.
• Own the risk picture: monitor Greeks, vega ladders, and reconcile P&L with Middle Office.
• Work across teams: collaborate on broader initiatives with parallel teams and support other desks as needed.

Conhecimentos

Strong Python skills

Front office trading environment

Model creation and development

Interest rate derivatives

Formação

Bachelor’s degree in a quantitative field

Descrição da vaga

emagine is seeking a Python Desk Developer for our London office. You will design and build trading, risk, and pricing tools in Python and VBA to support live trading operations in a front office environment.

As part of the desk, you will develop models for pricing non-linear rates products, create APIs for integration, and work with central risk development to ensure compatibility with the firm’s risk platform, while acting as a first point of contact for traders.