Full Stack Software Engineer (Python)

3 days ago

London, United KingdomMid Level / Senior

Responsibilities

Lead end-to-end delivery of features and enhancements from technical design through deployment and post-release feedback.
Own multiple concurrent Client Success Team initiatives with clear communication, prioritization, and accountability.
Design and implement full stack solutions spanning backend services, APIs, databases, data pipelines, and frontend components.
Build and maintain ETL processes for data ingestion, validation, transformation, reporting, and SFTP/API integrations.
Collaborate with business stakeholders and clients to refine requirements, define acceptance criteria, and quantify business value.
Contribute to technical scoping, effort estimation, ranking, and prioritization.
Improve performance, reliability, and scalability across Validus Horizon components.
Mentor team members and promote high standards in code quality, documentation, testing, and delivery.
Present technical solutions, trade-offs, and implementation roadmaps to stakeholders and clients.

3–5 years of professional software development experience.
Strong academic background in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science.
Strong experience with Python or a similar backend language used for data processing and financial applications.
Full stack development experience with backend services, APIs, databases, and modern frontend frameworks.
Experience designing and maintaining data pipelines and integrations involving APIs, SFTP, and structured market or portfolio datasets.
Ability to lead small-to-medium-scale projects with ownership and accountability.
Strong interest in financial markets, including exposure to FX and interest rate products.
Ability to communicate complex technical and financial concepts to technical and non-technical stakeholders.
Experience with financial risk management software, market data integration, trade lifecycle systems, or portfolio analytics is preferred.
An MSc in a STEM field and understanding of risk modelling, pricing, or financial analytics are preferred.
Experience in client-facing or consultative technology roles is preferred.

51-200 employees