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Are you a business? Hire business intelligence candidates in London
- Lal Capital
Financial Services Assistant1 month ago£25000–£27000 yearlyFull-timeLondonCompany Overview We are a well-established, client-focused wealth management firm based in the heart of London. We provide tailored financial advice and investment solutions to high-net-worth individuals, families, and trusts. We pride ourselves on our integrity, professionalism, and client service. Role Overview As a Financial Services Assistant, you will support advisers and operational staff in the delivery of a first-class service to clients. This role is integral to the smooth running of the business and provides an excellent opportunity to build a career within financial services and wealth management. Key Responsibilities Provide administrative support to financial advisers and paraplanners. Maintain and update client records using CRM systems. Liaise with clients, product providers, and third parties in a professional and efficient manner. Prepare client meeting packs, valuations, and documentation. Assist with the processing of new business applications, including pensions, ISAs, GIAs, and insurance products. Monitor and follow up on ongoing cases to ensure timely completion. Help ensure compliance with FCA regulations and internal procedures. Support the onboarding of new clients, including AML and KYC checks. Assist in the production of reports, letters, and other client communications. Requirements Essential Strong organisational skills and attention to detail Excellent communication and interpersonal skills Previous experience in financial services or administrative roles Proficiency in Microsoft Office (Word, Excel, Outlook) Ability to manage multiple tasks and meet deadlines High level of discretion and confidentiality Desirable Knowledge of wealth management products and services Experience with CRM or back-office systems (e.g., Intelligent Office, Salesforce) Studying towards or interested in studying for financial planning qualifications (e.g., CII, CISI) What We Offer Competitive salary and performance-related bonus Pension scheme and holiday allowance Study support for industry qualifications A friendly, supportive working environment in a prestigious London location Career development opportunities in a growing firm
Immediate start!No experienceEasy apply - The Reggae Kitchen
General Manager1 month ago£28000–£37500 yearlyFull-timeCroydonJob Title: General Manager Position Overview The General Manager (GM) is responsible for overseeing the daily operations and long-term strategic direction of the organization (or business unit), ensuring profitability, operational efficiency, and high levels of customer and employee satisfaction. The GM reports to the CEO or Executive Board and leads cross-functional teams to achieve company objectives, drive revenue growth, manage budgets, and uphold brand standards. Key Responsibilities 1. Strategic Leadership • Develop and execute the company’s strategic plans and annual goals., • Identify new market opportunities and recommend business development initiatives., • Monitor industry trends and competitive landscape to maintain market positioning. 2. Financial Management • Prepare, manage, and oversee annual budgets, forecasts, and financial reports., • Analyze P&L statements, balance sheets, and cash flow to ensure financial health., • Implement cost-control measures and optimize resource allocation. 3. Operations & Performance • Oversee day-to-day operations across departments (e.g., Sales, Marketing, Operations, HR, Finance)., • Establish performance metrics (KPIs) and monitor progress toward operational targets., • Streamline processes and implement best practices to increase efficiency. 4. Team Leadership & Development • Recruit, mentor, and retain high-performing managers and staff., • Conduct performance reviews, set development plans, and foster a culture of continuous improvement., • Promote teamwork, collaboration, and open communication throughout the organization. 5. Sales & Marketing Oversight • Collaborate with marketing to develop promotional strategies, brand positioning, and pricing models., • Set sales targets, track sales performance, and coach the sales team to achieve revenue goals., • Cultivate relationships with key clients, vendors, and partners. 6. Customer Experience & Quality Assurance • Ensure customer satisfaction through high service standards and swift issue resolution., • Implement quality assurance and compliance programs., • Solicit and act on customer feedback to drive service improvements. 7. Compliance & Risk Management • Ensure compliance with all relevant laws, regulations, and industry standards., • Identify operational risks and develop mitigation strategies., • Maintain health, safety, and environmental protocols. Qualifications & Skills • Education: Bachelor’s degree in Business Administration, Management, Finance, or related field. MBA or advanced degree preferred., • Experience: 7+ years of progressive leadership experience, including 3+ years in a senior management or GM role., • Financial Acumen: Proven track record in budgeting, forecasting, and P&L management., • Leadership: Strong people-management skills with the ability to build, coach, and motivate teams., • Strategic Thinking: Ability to translate vision into actionable plans and measurable outcomes., • Communication: Excellent verbal and written communication, negotiation, and presentation skills., • Analytical Skills: Proficient in data analysis and performance/operation metrics., • Adaptability: Comfortable working in fast-paced, changing environments., • Technical Proficiency: Familiarity with ERP, CRM, and business-intelligence tools. Working Conditions • Location: [Insert location or “Multiple locations”], • Travel: Up to X% domestic/international travel may be required., • Working Hours: Full-time; may require evenings or weekends during peak periods. Why Join Us? • Competitive salary and performance-based bonus structure., • Comprehensive benefits package (health, dental, vision, retirement)., • Professional development and continuing-education opportunities., • Collaborative, mission-driven culture committed to innovation. We are an equal-opportunity employer and welcome candidates from all backgrounds to apply.
Easy apply - Luupli
AI Engineer1 month agoPart-timeLondonAbout Luupli Luupli is a social media app that has equity, diversity, and equality at its heart. We believe that social media can be a force for good, and we are committed to creating a platform that maximizes the value that creators and businesses can gain from it, while making a positive impact on society and the planet. Our app is currently in Beta Test, and we are excited about the possibilities it presents. Our team is made up of passionate and dedicated individuals who are committed to making Luupli a success. Job Description As an AI Engineer at Luupli, you will play a pivotal role in developing intelligent systems and orchestrating agentic workflows that power Luupli’s AI features. Your work will span Retrieval-Augmented Generation (RAG), multi-agent LLM orchestration, auto-captioning, generative media, and content moderation. You’ll use frameworks like LangGraph, LangChain, and Google’s Agent Development Kit to build persistent, scalable AI services on Google Cloud Platform (GCP). This is a full-stack AI role that spans intelligent backend APIs, LLM agent orchestration, and integration with product-facing features. Responsibilities Build and deploy multi-agent AI workflows using LangGraph, LangChain, or Google’s Agent Development Kit. Implement RAG pipelines using embeddings, semantic chunking, and vector databases (e.g., FAISS, Pinecone, Weaviate). Integrate hosted and open-source LLMs (OpenAI, Gemini, Claude, Ollama, Mistral) into intelligent systems. Build REST APIs with FastAPI and internal tools with Streamlit to expose AI functionality. Deploy production-grade services on GCP using Vertex AI, Cloud Run, Cloud Functions, IAM, and Pub/Sub. Embed AI into platform features such as auto-captioning, LuupForge (generative studio), feed personalization, and real-time moderation. Maintain modular, testable, observable, and secure code across the AI system lifecycle. Requirements 3+ years experience in applied AI/ML engineering (production-level deployments, not research-only). Strong Python development skills with full-stack AI engineering experience: FastAPI, Streamlit LangGraph, LangChain, or similar PyTorch, Transformers FAISS, Weaviate, or Pinecone Solid experience working with hosted APIs (OpenAI, Gemini) and self-hosted models (Mistral, Ollama, LLaMA). Deep understanding of LLM orchestration, agent tool-use, memory sharing, and prompt engineering. Hands-on experience with Google Cloud Platform (GCP); especially Vertex AI, Cloud Functions, Cloud Run, and Pub/Sub. Familiarity with best practices in cloud-based software development: containerization, CI/CD, testing, monitoring. Nice to Have Experience with Google’s Agent Development Kit or similar agent ecosystems. Familiarity with multimodal AI (e.g., handling text, image, audio, or video content). Prior experience developing creator platforms, content recommendation engines, or social media analytics. Understanding of ethical AI principles, data privacy, and bias mitigation. Experience with observability tools (e.g., Sentry, OpenTelemetry, Datadog). Data engineering experience, such as: Building ETL/ELT pipelines Working with event-based ingestion and structured logs (e.g., user sessions, reactions, feeds) Using tools like BigQuery, Airflow, or dbt Designing or consuming feature stores for AI/ML applications Compensation This is an equity-only position, offering a unique opportunity to gain a stake in a rapidly growing company and contribute directly to its success. As part of your cover letter, please respond to the following questions: This position is structured on an equity-only basis. Thus, it is presently unpaid until we secure seed funding. Given this structure, are you comfortable continuing with your application for this role? Have you built or contributed to agent-based AI systems using frameworks like LangGraph, LangChain, or Google’s Agent Development Kit? Do you have experience with Retrieval-Augmented Generation (RAG) systems and vector databases (e.g., FAISS, Pinecone, Weaviate)? Have you deployed AI systems on Google Cloud Platform? If not, which cloud platforms have you used and how? Have you integrated LLMs (e.g., OpenAI, Gemini, Claude) into autonomous or multi-step workflows? Can you explain how agents collaborate and maintain memory across tasked in multi-agent systems? What is your experience with prompt engineering, tool invocation, and orchestrated LLM workflows? Do you have any public code repositories (e.g., GitHub), demo URLs, or project write-ups showcasing your work?
Immediate start!Easy apply
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