Full Stack Software Engineer (Python)

27 days ago

London, United KingdomMid Level / Senior

Responsibilities

Lead end-to-end delivery of features and enhancements for the Validus Horizon platform from technical design through deployment and post-release feedback.
Own multiple concurrent Client Success Team initiatives with clear execution, stakeholder communication, and accountability.
Design and implement full-stack solutions covering backend services, APIs, databases, frontend components, and data pipelines.
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 of initiatives.
Improve performance, reliability, and scalability across Horizon components including RiskView, TradeView, and PortfolioView.
Mentor team members and promote high standards for code quality, documentation, testing, and delivery.
Present technical solutions, trade-offs, and implementation roadmaps in stakeholder and client meetings.

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 across 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 high accountability and ownership.
Strong interest in financial markets, with exposure to FX and interest-rate products.
Ability to communicate complex technical and financial concepts to technical and non-technical stakeholders.
Strong attention to detail, prioritization skills, and ability to manage multiple parallel initiatives.
Preferred qualifications include financial risk-management platform experience, market-data integration, trade lifecycle or portfolio analytics experience, an MSc in a STEM field, knowledge of risk modeling, pricing, or financial analytics, and client-facing or consultative technology experience.

51-200 employees