About Allica Bank
Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.
Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.
Department Description
Programme Management sits at the heart of Allica, driving delivery of high‑impact, cross‑functional initiatives that shape the Bank’s direction. We oversee and drive a variety of programmes, ranging from major migrations to strategic growth projects as Allica continues to scale at pace. Our work spans the full breadth of the business, partnering closely with Data, Operations, Technology, Product and functional teams to ensure aligned outcomes. No two days are the same; priorities can shift rapidly, and our team thrives in a fast‑moving, problem‑solving environment.
We champion clarity and execution discipline, ensuring critical initiatives land on time and with high quality. The team operates with a flat, collaborative culture where ownership, transparency and constructive challenge are encouraged. We bring energy, adaptability and a player‑manager mindset, rolling up our sleeves and leading from the front. Our work is highly visible and materially influences Allica’s ability to scale, innovate and deliver on strategic goals. We look for people who thrive in ambiguity, build strong relationships, and consistently go the extra mile.
Role Description
As an AI / Automation analyst, you will play a critical role in identifying optimisation opportunities, scalable automation solutions, and deploying AI agents / tools that improve internal productivity and straight through processing. You will work closely with teams across Operations, Product, Engineering and Data to deliver high impact solutions using Microsoft AI technologies, modern automation platforms, and internal datasets.
This role is ideal for someone who combines strong analytical skills with hands-on technical capabilities. You should be comfortable building AI agents / tools, integrating systems via APIs, working with SQL and leveraging AI platforms to solve real business problems.
You will be working closely with the Product Operations Lead and the Programme Director to help define use cases, build a prioritised backlog, and build production level, scalable AI tools to solve these use cases.
Principal Accountabilities
Design, develop, and deploy AI-powered internal tools using Microsoft Copilot Studio, Power Apps, Power Automate, and Azure AI services.
Build and maintain integrations with REST APIs, including authentication, structured data handling, and workflow orchestration.
Use SQL to query and structure data for use in AI models, analytics, and automation pipelines.
Develop scalable automation that optimises internal workflows and reduces manual effort for colleagues across the bank.
Work with business stakeholders to gather requirements and translate them into technical specifications.
Build prototypes and iterate quickly based on user feedback.
Perform testing, validation, and deployment of AI solutions into production environments.
Train teams on the use of AI tools and self-service automation capabilities.
Document solutions, build knowledge resources, and promote best practices.
Identify new opportunities for AI adoption by analysing operational processes and data.
Work with engineering, data, and security teams to ensure solutions meet regulatory, data-protection, and risk standards.
Ensure automations are robust, compliant, and aligned with internal governance frameworks.
Contribute to the development of bank-wide AI/automation roadmaps and capability uplift.
Personal Attributes & Experience
Hands-on experience with SQL for querying, transforming, and preparing data.
Experience developing solutions in Microsoft Copilot Studio, Power Apps, Power Automate, or similar low-code AI platforms.
Familiarity with Azure AI services or similar, including model hosting, vector search, and orchestration.
Experience working with REST APIs and /or MCP Servers.
Strong analytical skills and ability to interpret business requirements and translate them into technical solutions.
Ability to work in iterative, fast-paced delivery environments.
Desirable Skills
Experience with Azure Foundry / Azure ML or similar enterprise AI platforms.
Familiarity with LLM-based application patterns (retrieval-augmented generation, agents, prompt engineering).
Understanding of data governance, model risk considerations, and regulatory expectations in financial services.
Experience with scripting languages such as Python.
Background in automation, business analysis, or process optimisation.
Understanding of system architecture.
Understanding of model & product governance and frameworks.
Working at Allica Bank
At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers.
Our employees are at the heart of everything we do, so our benefits are designed with you in mind:
Full onboarding support and continued development opportunities
Options for flexible working
Regular social activities
Pension contributions
Discretionary bonus scheme
Private health cover
Life assurance
Family friendly policies including enhanced Maternity & Paternity leave
Don’t tick every box?
Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you!
Flexible working
We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate.
Diversity
We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.
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