Market Risk Engineering Developer - Hybrid Role

LLOYDS BANKING GROUP; Greater London; Hybrid; GBP 95,000 - 117,000; Full time

Benefits offered by this job

Pension up to 15%

Annual bonus

Share schemes

Discounted shopping

30 days holiday

Wellbeing programs

Parental leave

Job summary

LLOYDS BANKING GROUP in London is seeking a Market Risk Engineering Developer on a fixed-term contract to join a multi-skilled rapid application development team embedded in the business. You will design, deliver and support internal applications that enhance market risk analytics and regulatory capabilities.

The role requires strong dev experience with C#, Python, SQL Server and AI deployment, plus DevOps and agile practice.

Qualifications

• 5+ years developer experience.
• 3+ years with C#, 2+ years with SQL Server, 3+ years with Python, 1+ year with AI application development & deployment.
• Experience with DevOps and agile delivery methods.
• Strong problem-solving and growth mindset with ability to apply AI to solutions.
• Risk knowledge, with market or counterparty risk experience.

Responsibilities

• Design, deliver, and support internally developed applications and robust technical solutions with business users.
• Conduct research into new solutions and prototype ideas.
• Analyse problems and provide expert diagnosis; collaborate with others.
• Develop product specifications and accompanying testing.
• Support change planning and ensure controlled delivery.
• Develop team capabilities and provide specialised training.

Skills

C#

Python

SQL Server

AI deployment

DevOps

Agile delivery

Risk knowledge

Problem-solving

Tools

SQL Server

AI tooling

Job description

LLOYDS BANKING GROUP in London is seeking a Market Risk Engineering Developer on a fixed-term contract to join a multi-skilled rapid application development team embedded in the business. You will design, deliver and support internal applications that enhance market risk analytics and regulatory capabilities.

The role requires strong dev experience with C#, Python, SQL Server and AI deployment, plus DevOps and agile practice.