

QueryCrane
Actuarial Business Analyst (Data & Reporting)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Actuarial Business Analyst (Data & Reporting) on a fixed-term contract, paying £17 per hour, fully remote. Key skills include actuarial practice knowledge, familiarity with AI in actuarial workflows, and experience in UK insurance or pensions sectors.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
136
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🗓️ - Date
March 17, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Business Analysis #AI (Artificial Intelligence) #Data Science #ML (Machine Learning) #Consulting #Data Analysis
Role description
Actuarial Business Analyst (Data & Reporting)
Company: QueryCrane-AI Ltd
Contract type: Fixed-term contract
Rate: £17 per hour; Working arrangement: Fully remote
About the project
QueryCrane-AI Ltd is delivering a research project for the Financial Reporting Council (FRC) investigating how UK actuaries are using artificial intelligence and other disruptive technologies in their technical work. The research involves semi-structured interviews and an online survey across all major actuarial sectors — Life Insurance, General Insurance, Pensions, Finance & Investment, and wider fields. The project builds on previous FRC-commissioned research conducted in 2023 and will produce a publishable report with case studies, quantitative data, and analytical commentary.
We are looking for an Actuarial Business Analyst with knowledge of actuarial practice to join our project team, bringing sector-specific expertise to strengthen the quality of our research design, fieldwork, and analysis.
About the role
You will work alongside our Project Lead and Senior Business Data Analyst, providing actuarial domain expertise throughout the project lifecycle. This is not a traditional actuarial modelling role — it is a research support role where your understanding of actuarial workflows, terminology, and professional context will directly enhance the quality of the research outputs.
Key responsibilities
Supporting the design and review of the semi-structured interview guide, ensuring questions are framed in language that resonates with actuarial professionals and probe effectively on sector-specific topics such as reserving, pricing, capital modelling, and assumption setting.
Advising on the adaptation of the supplementary survey questionnaire for the actuarial context, including sector-specific AI techniques (e.g., GLMs, gradient boosting, deep triangle methods), governance frameworks, and risk categories relevant to actuarial practice.
Participating in a subset of semi-structured interviews alongside the Project Lead, providing real-time actuarial context and follow-up questioning during discussions with actuarial professionals across different sectors.
Supporting the thematic analysis of interview findings by identifying sector-specific patterns, validating the interpretation of technical actuarial concepts, and ensuring the analytical narrative accurately reflects actuarial practice.
Reviewing draft deliverables — including the provisional findings presentation and the final report — for actuarial accuracy, appropriate use of terminology, and credibility with an actuarial audience.
Advising on the identification and recruitment of suitable interviewees across actuarial sectors, drawing on your knowledge of the actuarial landscape and professional networks.
About you
You have a working knowledge of actuarial practice in one or more of the major UK actuarial sectors. You are familiar with the types of models and processes used in actuarial work, such as pricing models, reserving techniques, capital modelling, or demographic and financial assumption setting. You understand the professional and regulatory context in which actuaries operate, including awareness of Technical Actuarial Standards and the role of the FRC in actuarial regulation.
An interest in or familiarity with AI and data science — particularly how these technologies are being adopted within actuarial workflows — would be an advantage, though deep technical AI expertise is not required as this is provided by the existing team.
You are comfortable working flexibly and remotely, contributing your expertise on an as-needed basis across the project timeline.
Desirable qualifications and experience
Experience working within or alongside actuarial teams in a UK insurance, pensions, or consulting environment. Progress toward or completion of IFoA examinations, or equivalent actuarial qualification. Familiarity with actuarial software and modelling tools. Understanding of AI or machine learning applications in actuarial contexts. Experience with qualitative or quantitative research methodologies. Strong written communication skills, with the ability to review and contribute to report drafting.
What we offer
The opportunity to contribute to a high-profile research project for the UK's actuarial regulator. Flexible, remote working with hours that can be arranged around other commitments. Exposure to cutting-edge AI governance and adoption research. A collaborative team with deep expertise in AI, data science, and survey research.
How to apply
Please send a brief CV and a short note (no more than 300 words) explaining your relevant actuarial experience and availability to recruitment@querycrane.com. If you have any questions about the role, please contact us at the same address.
QueryCrane-AI Ltd is an equal opportunities employer.
Actuarial Business Analyst (Data & Reporting)
Company: QueryCrane-AI Ltd
Contract type: Fixed-term contract
Rate: £17 per hour; Working arrangement: Fully remote
About the project
QueryCrane-AI Ltd is delivering a research project for the Financial Reporting Council (FRC) investigating how UK actuaries are using artificial intelligence and other disruptive technologies in their technical work. The research involves semi-structured interviews and an online survey across all major actuarial sectors — Life Insurance, General Insurance, Pensions, Finance & Investment, and wider fields. The project builds on previous FRC-commissioned research conducted in 2023 and will produce a publishable report with case studies, quantitative data, and analytical commentary.
We are looking for an Actuarial Business Analyst with knowledge of actuarial practice to join our project team, bringing sector-specific expertise to strengthen the quality of our research design, fieldwork, and analysis.
About the role
You will work alongside our Project Lead and Senior Business Data Analyst, providing actuarial domain expertise throughout the project lifecycle. This is not a traditional actuarial modelling role — it is a research support role where your understanding of actuarial workflows, terminology, and professional context will directly enhance the quality of the research outputs.
Key responsibilities
Supporting the design and review of the semi-structured interview guide, ensuring questions are framed in language that resonates with actuarial professionals and probe effectively on sector-specific topics such as reserving, pricing, capital modelling, and assumption setting.
Advising on the adaptation of the supplementary survey questionnaire for the actuarial context, including sector-specific AI techniques (e.g., GLMs, gradient boosting, deep triangle methods), governance frameworks, and risk categories relevant to actuarial practice.
Participating in a subset of semi-structured interviews alongside the Project Lead, providing real-time actuarial context and follow-up questioning during discussions with actuarial professionals across different sectors.
Supporting the thematic analysis of interview findings by identifying sector-specific patterns, validating the interpretation of technical actuarial concepts, and ensuring the analytical narrative accurately reflects actuarial practice.
Reviewing draft deliverables — including the provisional findings presentation and the final report — for actuarial accuracy, appropriate use of terminology, and credibility with an actuarial audience.
Advising on the identification and recruitment of suitable interviewees across actuarial sectors, drawing on your knowledge of the actuarial landscape and professional networks.
About you
You have a working knowledge of actuarial practice in one or more of the major UK actuarial sectors. You are familiar with the types of models and processes used in actuarial work, such as pricing models, reserving techniques, capital modelling, or demographic and financial assumption setting. You understand the professional and regulatory context in which actuaries operate, including awareness of Technical Actuarial Standards and the role of the FRC in actuarial regulation.
An interest in or familiarity with AI and data science — particularly how these technologies are being adopted within actuarial workflows — would be an advantage, though deep technical AI expertise is not required as this is provided by the existing team.
You are comfortable working flexibly and remotely, contributing your expertise on an as-needed basis across the project timeline.
Desirable qualifications and experience
Experience working within or alongside actuarial teams in a UK insurance, pensions, or consulting environment. Progress toward or completion of IFoA examinations, or equivalent actuarial qualification. Familiarity with actuarial software and modelling tools. Understanding of AI or machine learning applications in actuarial contexts. Experience with qualitative or quantitative research methodologies. Strong written communication skills, with the ability to review and contribute to report drafting.
What we offer
The opportunity to contribute to a high-profile research project for the UK's actuarial regulator. Flexible, remote working with hours that can be arranged around other commitments. Exposure to cutting-edge AI governance and adoption research. A collaborative team with deep expertise in AI, data science, and survey research.
How to apply
Please send a brief CV and a short note (no more than 300 words) explaining your relevant actuarial experience and availability to recruitment@querycrane.com. If you have any questions about the role, please contact us at the same address.
QueryCrane-AI Ltd is an equal opportunities employer.






