Senior Full Stack Software Engineer

Senior Full Stack Software Engineer (AI and Analytics Platform)New York - 4 Days Per Week in OfficeUp to $225,000 + 20% BonusThis is an opportunity to join a small, high-impact innovation team building a production-grade analytics product from scratch. You will work directly with senior stakeholders, shaping both the technical direction and the product itself, with real ownership from day one. The CompanyThey are a large, asset-backed organisation investing heavily in innovation and technology to transform how data is used across investment and asset management functions. Within this, they have built a startup-style team focused on developing predictive analytics tools that directly influence buying, selling, and operational decisions. The team is intentionally lean, fast-moving, and highly product-driven. The RoleYou will operate as a full stack engineer within a small, cross-functional team, working closely with product and leadership to build and scale a new analytics platform.Build and deploy full stack applications that surface predictive analytics and ML insightsWork directly with stakeholders to translate business requirements into production-ready featuresDevelop backend services using Python and Node.js, alongside modern frontend frameworks such as ReactContribute to AI and ML-driven functionality, including LLM-powered workflowsMake architectural decisions and shape the platform as it scalesDeliver high-quality, production-ready code in a fast-moving environmentCollaborate closely with product and design in a highly iterative, feedback-driven processYour Skills & ExperienceStrong commercial experience as a full stack engineer in product-focused environmentsProficiency in Python for backend development; Node.js is beneficialExperience with React or similar modern frontend frameworks such as Angular or VueExposure to cloud platforms such as Azure, AWS, or GCPExperience building and deploying production-grade applications end to endUnderstanding of ML or AI concepts and how they integrate into applicationsStrong product mindset and ability to work closely with non-technical stakeholdersComfortable operating in small, ambiguous, high-ownership environmentsWhat They OfferOpportunity to join a startup-style team within a well-funded organisationHigh level of ownership and influence over product and technical directionExposure to AI, ML, and predictive analytics use cases in a commercial settingCollaborative, fast-paced environment with direct access to senior stakeholdersClear scope for progression as the team growsHow to ApplyIf you are excited by the challenge of building an AI first data foundation within a scaled fintech, apply now by emailing resumes if interested or pass on if you know someone who'd be a great fit.