UK consumer finance app with budgeting, savings, and investment tools
Emma is a UK-based fintech app for personal money management built on a modern full-stack: TypeScript/React Native on the frontend, Node.js/Next.js on the backend, and a polyglot data layer spanning MySQL, CockroachDB, BigQuery, and Redis. The engineering-heavy hiring mix (14 engineers across 23 open roles) paired with active ML work on overdraft prediction and scaling challenges suggests the company is moving from a consumer-facing feature set into more sophisticated financial modeling and risk infrastructure.
Emma is a consumer finance platform launched in 2017, headquartered in London, serving UK users. The app provides budgeting, savings tracking, and investment capabilities, with a stated focus on helping users take control of their money. The company runs 23 active job openings (10 posted in the last 30 days) with accelerating hiring velocity, concentrated in engineering and marketing. Operations span across GCP infrastructure, Kubernetes orchestration, and a data pipeline using BigQuery and Pub/Sub, indicating mid-scale technical complexity.
Emma's stack spans TypeScript/JavaScript frontend (React, React Native, Next.js), Node.js backend, and data infrastructure including MySQL, CockroachDB, BigQuery, Redis, and GCP. Deployment uses Kubernetes and Docker with observability via Prometheus, Grafana, and Sentry.
Active projects include machine learning for overdraft prediction, paid social campaign scaling (Meta/TikTok), consumer duty compliance, video content creation, A/B testing infrastructure, and automation improvements across ad and HR tooling.
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