AI-driven investment management and reporting platform for multi-asset wealth
Landytech builds Sesame, an investment reporting and portfolio analytics platform for family offices, private banks and trust companies. The stack pairs a Kotlin/Spring Boot backend with Python data tooling (Polars, DuckDB, NumPy) and a React/TypeScript front end on Kubernetes, fitting its recurring pain around consolidating fragmented multi-custodian data. Accelerating hiring splits evenly between engineering and sales, with partner-led go-to-market in the UK and France.
Landytech is a London-headquartered fintech founded in 2018, with 51–200 employees. Its core product, Sesame, aggregates holdings data from many custodians and turns it into portfolio monitoring, analytics and investment reporting. Target customers include family offices, trust companies, private banks and asset managers. The company also automates bookkeeping workflows for wealth clients and emphasizes a security-focused setup with ISO 27001 certification and SOC 2 compliance. Current hiring spans the United Kingdom and France.
Landytech runs Kotlin, Java and Spring Boot on the backend, Python with Polars, DuckDB and NumPy for data work, React, TypeScript and React Native on the front end, and Kubernetes, Docker and Azure DevOps for delivery.
Job posts point to AI-driven automation, AI tooling integration, a design system, the end-to-end Sesame experience, client onboarding and adoption, and joint go-to-market campaigns with private-bank partners.
Landytech is hiring in the United Kingdom and France, with recruiting accelerating across engineering, sales, support, marketing and product roles, mostly at senior and lead levels.
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Landytech's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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