Top Tech Jobs & Startup Jobs in Manchester
Looking for a talented Data Scientist with experience in Financial crime and Anti-money laundering to develop Machine Learning solutions in a fast-paced environment at a leading digital bank.
Seeking a Full Stack Engineer with experience in Java, JavaScript, React, Redux, and Terraform to work on building tooling used by engineers at the leading digital bank. Responsibilities include designing REST APIs, coding backend services, developing modern front ends, and standing up infrastructure.
Starling, a leading digital bank in the UK, is seeking Software Engineers proficient in Java to work on building tooling for their banking platform. They value clean coding, simple solutions, and continuous deployment.
The Database Engineer at Starling Bank is responsible for managing the application and infrastructure supporting PostgreSQL databases. This includes building database management applications, monitoring performance, analyzing queries, and planning for future needs. The ideal candidate should have experience in software development, infrastructure as code, cloud environments, and a strong understanding of Postgres.
Starling, a leading digital bank, is looking for an Analytics Engineer (Credit) to translate data requirements into robust and reusable data models focused on credit regulatory submissions. Responsibilities include maintaining documentation, collaborating with the data team, and owning projects end-to-end. Strong SQL and Looker experience are required.
The People Operations Specialist will support efforts to create a positive employee experience from application to employee life cycle. Responsibilities include managing HR processes, background screening, onboarding, and data accuracy. Requirements include administrative experience in HR, financial services experience, attention to detail, and relationship-building skills.
Data Scientist role in Marketing at Starling, a digital bank focused on fast technology and fair service. Responsibilities include developing models to predict customer lifetime value, analyzing customer behavior data, and collaborating with Data Analysts. Hybrid working approach with a preference for in-person collaboration.
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