VFX Financial PLC
51 - 200 employees
Founded 2002
💸 Finance
💳 Fintech
Finance • Fintech
VFX Financial PLC is a company that specializes in providing comprehensive foreign exchange and international payment solutions. The company offers premium services for global currency exchange and is known for its fast and secure trading platforms. VFX Financial PLC is authorized and regulated by the Financial Conduct Authority in the UK and is registered with FINTRAC in Canada, ensuring compliance with industry standards and regulations. Customers can engage in currency trading across a wide range of currency pairs, supported by cutting-edge technology and dedicated account management. The company is focused on delivering tailored FX solutions, payment services, and cash management to meet the diverse needs of its clients.
AI & Automation Engineer
🔥 0 minutes ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
VFX Financial PLC
51 - 200 employees
Founded 2002
💸 Finance
💳 Fintech
Finance • Fintech
VFX Financial PLC is a company that specializes in providing comprehensive foreign exchange and international payment solutions. The company offers premium services for global currency exchange and is known for its fast and secure trading platforms. VFX Financial PLC is authorized and regulated by the Financial Conduct Authority in the UK and is registered with FINTRAC in Canada, ensuring compliance with industry standards and regulations. Customers can engage in currency trading across a wide range of currency pairs, supported by cutting-edge technology and dedicated account management. The company is focused on delivering tailored FX solutions, payment services, and cash management to meet the diverse needs of its clients.
📋 Description
• AI Adoption & Use-Case Delivery • Work with business stakeholders across Operations, Finance, and Technology to identify, prioritise, and scope AI and automation use cases • Maintain and manage the AI use-case register, including intake, prioritisation, status tracking, and outcomes measurement • Drive adoption of deployed AI tools (Claude Enterprise and equivalents) — structured rollout, training, and usage measurement by function • Stay current on enterprise LLM and AI tooling developments; advise the Data & AI Lead on relevant capabilities • Automation Engineering • Design and build production-grade automations using Power Automate, Python, and API integrations, targeting operational workflows across payments, FX, treasury, onboarding, and internal operations • Build and maintain automated workflows and AI pipelines with human-in-the-loop controls, escalation paths, and audit trails • Integrate LLM workflows with internal systems and third-party APIs using the Claude API or equivalent enterprise LLM APIs; Document all automations with clear operational runbooks; ensure solutions are maintainable by others • Production Controls & Governance • Apply production engineering standards to all AI deployments: secrets management, prompt and model versioning, evaluation datasets, output quality thresholds, and observability • Implement cost monitoring and usage controls for LLM API consumption • Build and maintain rollback and kill-switch mechanisms for all production AI workflows • Apply personal data minimisation principles — no personal data in prompts unless explicitly reviewed and approved • Produce the technical input for vendor, security, privacy, and data-residency assessments for any new AI tool or integration, working with the relevant control functions • Operate within the AI governance framework; provide technical evidence and control documentation to Compliance, Risk, Security, and the DPO as required • Maintain awareness of AI regulatory developments, including the EU AI Act timetable, and flag implications to the Data & AI Lead and Compliance • SOP & Process Redesign • Work with Operations to review existing SOPs and identify where automation can reduce manual effort, error risk, or processing time • Where automation is not yet appropriate, document improved manual processes that are automation-ready • Measure and report on automation impact — hours saved, error reduction, throughput improvements
🎯 Requirements
• 3–6 years of hands-on software or automation engineering experience • Proficiency in Python (e.g. scripting, API integration, workflow automation) • Practical experience building with enterprise LLM APIs, such as Claude API, OpenAI, Azure OpenAI, or equivalent • Experience with Power Automate or equivalent low-code/no-code automation platforms in a production context • Ability to gather requirements from non-technical stakeholders and translate into working solutions • Understanding of production controls: secrets management, versioning, observability, error handling, and rollback • Strong written English (e.g. documentation, runbooks, and stakeholder communication)
🏖️ Benefits
• Generous Profit Share Plan (PSP) • Potential Equity opportunities via the Company Share Option Plan (CSOP) • Competitive salary • Annual all-expenses paid company incentive trip abroad • Flexible learning & development budget
Apply Now
