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We are seeking a motivated and detail-oriented Data Analyst to join our dynamic, high-performing team. This role is ideal for early-career professionals with 1–2 years of experience or strong academic foundations in data analytics or related fields. You will be responsible for interpreting data, generating insights, and developing data products to drive strategic decision-making. The successful candidate will demonstrate strong technical capabilities, analytical acumen, and the ability to translate complex datasets into actionable business intelligence. Key Responsibilities Extract, clean, and analyse large datasets to uncover meaningful trends and patterns. Design, build, and maintain dashboards and reports using Power BI and Tableau. Collaborate with stakeholders to capture data requirements and deliver insights aligned with business objectives. Automate recurring processes using Excel Macros, VBA, or Bash scripting to improve efficiency. Develop and maintain databases using Microsoft SQL Server and Oracle, ensuring data integrity and accessibility. Support ad hoc analysis and reporting needs across departments. Document workflows, data dictionaries, and procedures to ensure data governance and clarity. Participate in the Software Development Life Cycle (SDLC), contributing to requirements gathering, testing, and implementation. Perform advanced statistical analysis and data manipulation using Python or R (desirable). Contribute to the design and optimisation of database schemas and data pipelines. Required Experience & Skills 1–2 years’ experience in a Data Analyst or similar role, or strong academic background in a quantitative discipline (e.g., Mathematics, Computer Science, Economics). Proficient in SQL for querying, joining, and transforming data. Advanced Excel skills, including pivot tables, lookups, and data wrangling techniques. Proficient with data visualisation tools such as Power BI or Tableau. Excellent analytical and critical thinking skills with high attention to detail. Strong verbal and written communication skills — able to explain data-driven findings to non-technical stakeholders. Highly collaborative team player with a proactive mindset and willingness to learn. Desirable Hands-on exposure to Python or R for data modelling, automation, or analytics. Familiarity with cloud platforms, ETL tools, or workflow orchestration frameworks. Ability to self-manage workload and prioritise tasks in line with changing business needs.
Company Overview St Mary’s Financial Consultants Limited (SMFC) is a London-based financial intermediary and business consultancy based in Greenwich, offering integrated services across mortgage referrals, accounting support, and commercial advisory. Since 2017, we have supported a diverse client base—including international professionals, entrepreneurs, and UK-based SMEs—through a bilingual, client-focused approach that prioritizes accessibility, efficiency, and trust. With a strong reputation among overseas and Chinese-speaking communities, we continue to expand our service offerings and digital engagement. We are currently seeking a skilled and analytical Actuary / Economist / Statistician to join our team. This role offers an exciting opportunity for a data-driven professional to apply advanced statistical, economic, and actuarial techniques to evaluate financial risks, forecast market trends, and support strategic decision-making. You will collaborate closely with consultants, financial planners, and business advisers to deliver rigorous analysis, develop predictive models, and translate complex findings into actionable insights that enhance our services and client outcomes. Key Responsibilities Gather, clean, and analyze large datasets from diverse sources to produce actionable insights that directly support informed business decisions and financial planning. Design, build, and implement advanced statistical models, algorithms, and predictive analytics to enhance operational efficiency and deliver measurable client value. Create clear, impactful charts, dashboards, and reports to present complex findings in an accessible way for both technical experts and non-technical stakeholders. Collaborate with consultants, marketing teams, and strategic planners to design experiments, measure results, and refine services for improved performance. Monitor market and operational data trends, verify data accuracy, and recommend evidence-based strategies to drive company growth and competitive positioning. We Offer Competitive annual salary of £38,000.00-£43,000.00 depending on experience Opportunity to join a growing boutique consultancy at the forefront of cross-border business advisory Convenient Canary Wharf office location in central London Inclusive, collaborative, and multicultural work environment Career growth through involvement in strategic, high-impact data projects influencing both UK and international markets
Job 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.
Test Analyst We are looking for 2 Test Analyst(s) to join our team ASAP. As a Test Analyst you will be responsible for the Test Execution for multiple Projects/Maintenance Cycles from Development through to Go-Live. You will work with all departments to ensure quality deliverables, building strong relationships between the business and IT delivering software through Agile methodology. From time to time you will be required to perform software tests, following best practice to ensure quality and correct documentation of test procedures in all areas of software testing. You will be responsible for the development and implementation of documented test cases. Executing tests, preparing test reports, and working closely with relevant departments and stakeholders to report defects when required. Expected experience & skills Minimum 3 years proven track record in software test lead roles doing hands-on testing Must have experience in Agile/Scrum models Strong Testing experience with API, Cross Platform Testing, Cross Browser Testing, Web, Mobile and Tablet Strong Testing Experience in Non-Functional testing Experience of working with Test Management tools like JIRA, TFS, ALM Familiar with HTML, SQL & Java Good Experience of working with SQL knowledge in Postman & SOAP UI for API Testing Must be able to work closely with the BA & development teams Self-motivated and highly professional with ability to lead and take ownership and responsibility A strong team member and player Strong attention to detail Beneficial skills/experience Automation skills experience creating and maintaining automation frameworks and scripts in line with coding standards will be an added advantage Benefits Professional development including learning and development, individual development plans, formal mentorship programs. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. We take our obligations to protect your personal data very seriously.
About 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?