Role Description We are seeking a proactive AI Automation and Systems Integration Specialist to work directly with the founder in building an intelligent, automated, and scalable business environment. This is a hands-on role focused on: - Power BI development - AI-driven automation - Systems integration - Digital operations support You will design, implement, and continuously improve tools, workflows, and data systems that improve efficiency and decision-making. The role requires strong problem-solving skills, independence, and the ability to work effectively in ambiguity. This is a full-time, non-client-facing position working closely with a senior stakeholder in a remote setup. The ideal candidate is proactive, highly accountable, and able to identify and build improvements independently. This is a foundational role with a strong opportunity to shape how the business operates and scales. Key Responsibilities - Power BI & Business Intelligence - Design and maintain Power BI dashboards (DAX, modelling, reporting) - Build a unified daily business snapshot integrating Microsoft 365, Xero, ProjectManager, and Hubspot (CRM) data - Develop scalable reporting frameworks for performance, financials, and operations - AI Automation & Systems Integration - Design and implement AI-driven workflows and automation systems - Build API-based integrations across business platforms - Identify and remove manual processes through automation utilising existing available tools including Microsoft Suite - Automated Intelligence & Reporting - Develop systems that generate daily intelligence on: - Energy markets and pricing - Regulatory and policy updates - Financial and macroeconomic indicators - Grants, funding, and industry activity - Deliver structured automated summaries for decision-making - Executive & Operational Support - Support executive workflows including action tracking, meeting preparation, and documentation automation - Build systems enabling effective business management across desktop and mobile - Project task management support through online ProjectManager application - Establish short AI generated imagery and videos for client proposals utilising company branding guidelines - Microsoft 365 & Systems Optimisation - Optimise Microsoft 365 (Outlook, Teams, SharePoint, OneDrive, Excel, Copilot) - Improve document structure, workflow efficiency, and accessibility across devices - LinkedIn & Market Intelligence - Support LinkedIn as a business intelligence and insight channel - Extract and summarise industry activity, trends, and opportunities - Support posting of pre-prepared content where required - Systems Support & Innovation - Provide remote IT and systems troubleshooting support - Coordinate external technical support where required - Support development of lightweight internal tools and automation prototypes Qualifications - Minimum 3-5 years’ experience in data, business intelligence, automation, or systems integration roles - Strong Power BI experience (DAX, data modelling, dashboards) - Proven experience in AI automation and workflow design - Strong understanding of existing leading AI capability including Chat GPT and CoPilot - Experience with API integrations and multi-platform system connectivity - Strong understanding of data reporting and business intelligence - Advanced Microsoft 365 capability (Excel, Power BI, Outlook, Teams, SharePoint, OneDrive, Copilot) - Experience with CRM and business systems (HubSpot, Xero) - Strong analytical and problem-solving skills - Excellent written and verbal English communication - Ability to work independently in a remote, founder-led environment Preferred/Nice-to-Have - Experience building automated intelligence or monitoring systems (market, regulatory, or financial data) - Exposure to energy, infrastructure, or sustainability sectors - Workflow automation across multiple business systems - Understanding of industrial communication protocols (BACnet, Modbus, CSIP) - Experience in early-stage or small business digital transformation environments - Remote IT or systems administration experience Work Arrangement & Expectations This is a remote role that will be set up as an independent contractor engagement. To ensure alignment and transparency, successful candidates will be expected to: - Disclose any existing ongoing roles or client work - Reflect this engagement on their LinkedIn profile (clearly marked as “Independent Contractor”)

Role Description You’ve built deep expertise in insurance claims, investigations, coverage decisions, reserving, or claim resolution, and produced work that drives real decisions. Now that expertise has a new application: shaping how frontier AI models reason through complex insurance problems. - Design realistic claims tasks: claim intake, investigations, coverage determinations, reserve-setting decisions, and claim resolution scenarios. - Write evaluation rubrics that reflect how experienced claims professionals reason through coverage, liability, reserves, settlement decisions, and recovery opportunities. - Review AI-generated work and flag where models miss coverage issues, set inadequate reserves, mishandle investigations, or reach unsupported claim outcomes, explaining why it matters. - Build reference claim files and adjudication materials that set the benchmark models are tested. - Communicate claim decisions and rationale clearly in writing. Qualifications - 5–8+ years handling P&C claims — as an adjuster, examiner, claims specialist, or claims manager. - You’ve made coverage decisions, set reserves, or handled claim outcomes that had to withstand scrutiny. - AIC, CPCU, SCLA, or equivalent (preferred, not required). - You can explain why a claim resolves the way it does clearly enough to teach the reasoning, not just the outcome. Benefits - Fully remote, part-time, and flexible work. - Work is scoped by project and ranges from short engagements to ongoing collaborations, structured as a contract or a monthly retainer. Company Description Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. Founded by ex-Lazard and Partners Group professionals, we operate from London and San Francisco.

Role Description You’ve built deep expertise in catastrophe modeling, exposure management, portfolio aggregation, or reinsurance analytics, and produced work that drives real decisions. Now that expertise has a new application: shaping how frontier AI models reason through complex insurance problems. - Design realistic catastrophe and exposure management tasks: catastrophe modeling exercises, accumulation assessments, portfolio exposure reviews, and reinsurance exposure decisions without clean answers. - Write evaluation rubrics that reflect how experienced catastrophe and exposure professionals reason through data quality, model assumptions, accumulation risk, PML interpretation, and reinsurance implications. - Review AI-generated catastrophe analyses, exposure assessments, and portfolio risk evaluations, identifying where models misinterpret catastrophe outputs, overlook accumulation risks, or misuse exposure data. - Build reference catastrophe studies and benchmark exposure analyses that set the standard models to be tested. - Communicate catastrophe risk assessments, exposure judgments, and rationale clearly in writing. Qualifications - 5–8+ years in catastrophe modeling or exposure management at an insurer, reinsurer, broker, or modeling vendor. - You’ve managed catastrophe exposure, accumulation analysis, PML reporting, or portfolio risk assessments that informed underwriting or reinsurance decisions. - Hands-on experience with Moody’s RMS and/or Verisk Touchstone, and familiarity with PML, AEP, and OEP analysis. - ACII, a catastrophe modeling qualification, or a numerate degree (preferred, not required). - You can explain what catastrophe model outputs do and do not tell you clearly enough to teach the reasoning, not just the outcome. Benefits - $80–$200 per hour, aligned with expertise, scope, and impact; exceptional or highly specialised expertise can go higher. - Ongoing engagements are typically structured as a monthly retainer rather than on an hourly basis. Company Description Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. Founded by ex-Lazard and Partners Group professionals, we operate from London and San Francisco.

Role Description You’ve built deep expertise in actuarial analysis, pricing, reserving, or portfolio profitability, and produced work that drives real business decisions. Now that expertise has a new application: shaping how frontier AI models reason through complex insurance problems. - Design realistic actuarial and pricing tasks: rate adequacy studies, reserve reviews, profitability analyses, and pricing decisions without clean answers. - Write evaluation rubrics that reflect how experienced actuaries reason through assumptions, methodologies, uncertainty, and business impact. - Review AI-generated pricing models, reserve analyses, loss ratio studies, and profitability assessments, identifying where models make incorrect assumptions or apply inappropriate methodologies. - Build reference actuarial analyses and benchmark pricing materials that set the standard models, which are tested. - Communicate actuarial judgments, assumptions, and rationale clearly in writing. Qualifications - 5–8+ years in P&C actuarial pricing, reserving, or portfolio analytics at an insurer, reinsurer, consultancy, or brokerage. - You’ve owned pricing studies, reserve reviews, or profitability analyses that informed business decisions. - ACAS, FCAS, FIA, Fellow of the IFoA, or equivalent (preferred, not required). - You can explain the assumptions and judgment behind an actuarial estimate clearly enough to teach the reasoning, not just the outcome. Benefits - $80–$200 per hour, aligned with expertise, scope, and impact; exceptional or highly specialised expertise can go higher. - Ongoing engagements are typically structured as a monthly retainer rather than on an hourly basis. Company Description Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. Founded by ex-Lazard and Partners Group professionals, we operate from London and San Francisco.