Front-Office Quant Engineer: Pricing & Risk

EDF Trading; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Hybrid work environment

Personal pension plan

Private medical and dental insurance

Bi-annual health assessments

Corporate gym memberships

Electric car lease programme

Childcare vouchers

Cycle-to-work scheme

Season ticket loans

Volunteering opportunities

Job summary

EDF Trading Limited in London is seeking a Quantitative Software Engineer to contribute to the core enterprise valuation platform. You will work on risk, pricing, and PnL across multiple derivative types while collaborating with Quant Analytics and Development teams.

Ideal candidates have strong .NET and Python programming skills, experience with APIs, containers, and cloud systems, and a solid maths/CS background.

Qualifications

• Experience with .NET and Python
• API development experience
• Containers and cloud systems knowledge
• Relational and non-relational databases
• Strong CS and mathematics foundation
• Interest in commodity trading/finance domain

Responsibilities

• Engage with users and stakeholders to gather requirements and deliver development work on time
• Follow coding standards, documentation, testing, and peer review
• Apply appropriate architecture and data model choices for projects
• Develop high-quality code with robust test coverage
• Refactor and standardise components to reduce duplication
• Provide production support and rollout assistance
• Collaborate with Quant Analytics and Quant Dev teams on model integration and performance
• Communicate subject-matter knowledge to design and integration phases

Job description

EDF Trading Limited in London is seeking a Quantitative Software Engineer to contribute to the core enterprise valuation platform. You will work on risk, pricing, and PnL across multiple derivative types while collaborating with Quant Analytics and Development teams.

Ideal candidates have strong .NET and Python programming skills, experience with APIs, containers, and cloud systems, and a solid maths/CS background.