> Markdown version of [/jobs/ext/4000291-software-engineer-equities-analytics-alternative-data-selby-jennings](https://www.wearedevelopers.com/jobs/ext/4000291-software-engineer-equities-analytics-alternative-data-selby-jennings). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer Equities Analytics & Alternative Data - Selby Jennings - **Company:** Yesterday By Efinancialcareers - **Location:** London, United Kingdom - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, Computer Programming, Data Structures, Programming Tools, Python (Programming Language), Software Engineering, Data Ingestion - **Published:** October 29, 2026 - **Apply:** https://www.reed.co.uk/jobs/software-engineer-equities-analytics-alternative-data-selby-jennings/57501403 ## About the Role * 2+ years of professional software engineering experience. * Advanced programming ability in Python * Strong computer science fundamentals across data structures, algorithms and system design. * Experience building internal platforms, developer tools, automation systems or data-intensive applications. * Strong communication skills, with experience working closely with business stakeholders and end users. This is an opportunity to move beyond a conventional platform or infrastructure remit and build products alongside the people making investment decisions. For an engineer already performing strongly, the attraction is greater ownership, closer proximity to the front office and the ability to see technical work translate into measurable investment and P&L impact. If you are interested in combining rigorous software engineering with data, AI-enabled automation and direct investor partnership, get in touch for a confidential conversation ## Description * Develop tools that help investors and Data Scientists discover, analyse and use data more effectively. * Design intelligent systems for data onboarding, cataloguing, governance and lifecycle management. * Build AI-driven solutions that reduce operational overhead and accelerate development workflows. * Partner directly with investment professionals to develop and evaluate commercially relevant ideas. * Create scalable, self-service products supporting more than 100 users across the Fundamental Equities platform.