Jobs at Moneyfarm

The Wealth Advisor will manage client interactions via remote channels, building relationships, providing advice, and growing client assets under management.

Manage the product roadmap for B2B2C partnerships, coordinating cross-functional teams, engaging senior stakeholders, ensuring delivery, and applying AI tools for efficiency.

As a Wealth Manager, you will guide premium clients through their investment journey, conduct portfolio reviews, and maintain client relationships through remote communication while ensuring a high-quality customer experience.

Join a cross-functional backend team as a Scala-focused engineer to design and maintain microservices, produce well-tested high-quality code, contribute to architecture improvements, perform code reviews, and adopt new technologies to support customer growth in a fintech environment.

Early-career compliance role supporting AML, financial crime, case handling, vendor due diligence, compliance monitoring, complaints, and regulatory reporting for UK-regulated entities. Work includes triaging Jira cases, horizon scanning, policy updates, and progressing toward leading compliance reviews under senior mentorship.

Work as an engineering-minded data analyst embedded in a product or CEO stream to turn raw data into trusted analytics. Build and maintain dbt models, review and refactor analytical code, define KPIs, direct AI tools to produce reports, ensure data quality, and communicate insights to stakeholders. Contribute to the data platform and its AI/semantic layer while enabling self-serve analytics for product teams and executives.

The Premium Team Manager is responsible for managing a team focused on the premium client segment, driving marketing and investment strategy to maximize client satisfaction and inflows.

Owner of platform reliability and operational support: investigate and resolve complex escalations, build tooling and automation, improve observability (dashboards, alerts, runbooks), lead incident response and post-mortems, and develop deep familiarity with Kubernetes, Kafka, Aurora RDS, and the microservices stack to reduce manual support over time.