14 jobs found

About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. 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. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Salary: Competitive Location: Buckinghamshire Contract: Permanent Overview of the Actuarial Financial Risk Analyst role Sellick Partnership is currently supporting a leading insurance organisation as they look to appoint a talented and motivated Actuarial Financial Risk Analyst to join their Risk function. This is an excellent opportunity for an actuarial or risk professional with experience in financial risk management, investments, credit risk and Asset Liability Management to play a key role in supporting the oversight of a growing life insurance business. Working closely with senior risk leadership, the successful candidate will contribute to the independent oversight and challenge of financial risk activities, ensuring effective risk management frameworks, controls and governance arrangements are maintained across the business. Key responsibilities of the Actuarial Financial Risk Analyst will include Financial risk oversight Supporting the oversight and monitoring of financial risks, working closely with first-line teams to assess the effectiveness of risk management frameworks, processes and controls Providing independent second-line review and challenge of credit risk management and Asset Liability Management activities Assessing the design and operational effectiveness of financial risk governance and control frameworks Supporting oversight of internal credit rating methodologies and processes, including thematic and deep-dive reviews where appropriate Strategic and commercial risk review Contributing to the independent review, challenge and risk assessment of strategic, commercial and business development initiatives Reviewing areas including Bulk Purchase Annuity transactions, reinsurance arrangements, corporate acquisitions and strategic projects Evaluating financial risk implications and providing clear recommendations to stakeholders Risk reporting and monitoring Monitoring financial risk exposures and key risk indicators against the organisation's Risk Appetite Framework Supporting the production of high-quality risk reporting for senior management and governance committees Contributing to the preparation and development of Own Risk and Solvency Assessment reporting Investments and Matching Adjustment oversight Supporting second-line oversight of Matching Adjustment-related risks and controls Engaging with first-line teams in relation to regulatory applications and ongoing Matching Adjustment compliance Reviewing and challenging key actuarial assumptions, methodologies, financial analyses and reporting outputs Model risk and solvency framework Participating in the independent validation of elements of the Partial Internal Model under the Solvency UK framework Monitoring and tracking the remediation of validation findings Supporting wider second-line oversight activities relating to model governance and risk management Enterprise risk management Contributing to the maintenance and enhancement of the Enterprise Risk Management Framework and Risk Appetite Framework Supporting Risk and Control Self-Assessments, risk incident reporting processes and second-line risk tools and methodologies Assisting with broader enterprise risk activities and projects as required Governance and compliance Supporting compliance with relevant regulatory requirements, including FCA Conduct Rules, Consumer Duty obligations and PRA standards Assisting with regulatory notifications and communications where appropriate Undertaking additional responsibilities and ad-hoc projects as required Required experience for the Actuarial Financial Risk Analyst position will include Part-qualified Actuary, or an individual with actuarial training who has chosen not to continue examinations Experience in a financial risk, actuarial, investment or related role within life insurance, reinsurance, pension fund investment management or a comparable financial services environment Experience of credit risk and/or Asset Liability Management risk Good understanding of the UK regulatory environment and risk management expectations Knowledge of investment markets within the life insurance or pensions sector, particularly credit risk, fixed income investments and illiquid assets Previous experience working within first-line and/or second-line risk management functions How to apply for the Actuarial Financial Risk Analyst position If you would like to apply for this Actuarial Financial Risk Analyst opportunity, please submit your CV today. Alternatively, for a confidential discussion, please contact the Actuarial team at Sellick Partnership. Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.

Technical Business Analyst - Pricing (Insurance) Qlik to Power BI Migration Role: Technical Business Analyst - Pricing & BI Migration Location: London (Hybrid - 1-2 days onsite) Contract: 6 Months Initial Contract Engagement: Inside IR35 Rate: 450 a day Overview We are seeking an experienced Technical Business Analyst to join a major transformation programme within the insurance sector. The successful candidate will have strong Insurance Pricing experience combined with a proven track record delivering Qlik to Power BI migration projects . This role will act as the bridge between Pricing, Underwriting, Data, and BI teams, ensuring that business-critical pricing and reporting capabilities are successfully migrated from Qlik to Power BI while maintaining data integrity and business value. Key Responsibilities Lead business analysis activities across a Qlik to Power BI migration programme. Work closely with Pricing stakeholders to understand rating, pricing, and reporting requirements. Analyse existing QlikView/Qlik Sense reports, dashboards, and data models. Define future-state reporting and analytics solutions within Power BI. Gather, document, and validate business and functional requirements. Facilitate workshops with Pricing, Underwriting, Finance, and Data teams. Create user stories, process maps, functional specifications, and acceptance criteria. Support data mapping, reconciliation, testing, and UAT activities. Identify risks, dependencies, and reporting gaps throughout the migration lifecycle. Collaborate with Power BI Developers, Data Engineers, Architects, and Project Managers to ensure successful delivery. Mandatory Skills & Experience Proven experience as a Technical Business Analyst . Strong Insurance Pricing experience (mandatory). Demonstrable experience delivering Qlik to Power BI migration projects (mandatory). Experience working within General Insurance, Commercial Insurance, or Personal Lines environments. Strong understanding of pricing processes, pricing data, rating models, and reporting. Hands-on knowledge of: QlikView and/or Qlik Sense Power BI Data modelling and reporting solutions Data warehousing concepts Experience gathering and documenting complex business and technical requirements. Strong stakeholder management and workshop facilitation skills. Experience supporting testing, UAT, and data validation activities. Excellent communication and documentation skills. Desirable Skills SQL and data analysis experience. Exposure to actuarial, underwriting, or risk data. Experience with Azure Data Platform and Microsoft BI technologies. Knowledge of Agile delivery methodologies. Experience working on large-scale data transformation programmes.

If you are currently seeking a technical role within Pensions or seeking assistance with a current vacancy we are awaiting your call Just an informal chat at this stage is all we need to assess whether we can assist. Lisa Tremlett & Juliette Lister have over thirty years recruitment experience to the Pensions profession. Profile provides expert assistance in the recruitment of experienced personnel to Third Party Pensions Companies, In-house & Consultancies. Typical roles include DB/DC Pensions Consultants, Administration, Implementation, Pensions Data Analysts , GMP teams, Sipp/SSAS, Actuarial and Pensions Management. Over the years many of our candidates are organically grown through our names and reputation within the market place. We have an excellent rapport with a number of our candidates and clients through placing them many times within their careers which is demonstrated by our outstanding relationships with our key clients and applicants. Please contact Juliette Lister or Lisa Tremlett to discuss your career or current vacancies further.

Senior Business Analyst - Reinsurance Pricing Contract Inside IR35 £650 per day London / Hybrid We're looking for a Senior Business Analyst to join a high-profile transformation focused on reinsurance pricing and portfolio analytics. This is a key role on a programme already in motion. You'll step in at discovery stage and take ownership of shaping how pricing and analytics capability evolves. The Role You'll work across the full lifecycle of change. Lead discovery and define requirements Map current processes and design future state Work closely with underwriting, actuarial and data teams Support delivery through build, testing and reporting This is a hands-on role where you'll be expected to lead conversations and drive clarity. The Environment Reinsurance pricing focused Portfolio level analysis and risk modelling Complex, data-led decision making You'll be working in a space that combines underwriting, analytics and technical delivery. What We're Looking For Strong Senior BA experience London Market insurance background Underwriting knowledge Ideally exposure to reinsurance or pricing You need to be able to hit the ground running in a specialist environment. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Job Title: Transformation Senior Pricing Analyst Location: Peterborough, Manchester, London, Stoke-on-Trent (flexible hybrid working) We support remote working with occasional travel to our offices. Are you ready to take your analytical skills to the next level and help transform pricing capabilities? At Markerstudy, we're on a mission to redefine how we deliver value to our customers and the business. This is your opportunity to join our Pricing Transformation team and play a key role in shaping the future of pricing across one of the UK's leading insurance providers. Why this role matters As Transformation Senior Pricing Analyst, you'll work on developing and enhancing pricing models, monitoring portfolio performance, and deliver innovative pricing solutions that maximise value for both customers and the business. You'll collaborate with peers across Modelling, Optimisation, and Street Pricing teams to ensure cutting edge approaches meet business objectives. Ultimately, you'll play a pivotal role in driving the evolution of our pricing capability and ensuring we stay ahead in a fast moving market. What you'll do: Conduct retail price optimisation analysis and modelling using advanced techniques. Develop customer propensity and Lifetime Value (LTV) models. Build and maintain sophisticated pricing models with advanced data science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking for: Experience in general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication skills to convey complex technical concepts to technical and non-technical audiences. A passion for innovation and continuous improvement. What we offer A collaborative, fast-paced environment where innovation thrives. Life assurance (4x salary), and yearly bonus scheme. 24 days annual leave increasing with length of service, plus bank holidays (with options to buy more) Modern, vibrant offices and flexible hybrid working. Clear opportunities for career progression and professional development. About Markerstudy Markerstudy Group is one of the UK's leading insurance providers, known for its innovative approach and rapid growth. With over 6,000 colleagues and 8 million customers, we deliver a wide range of motor, home, pet, and specialist insurance products through well-known brands like Swinton, Carole Nash, and Marmalade. We're passionate about using data, technology, and creativity to make insurance smarter and more accessible. Joining our Pricing team means you'll work across multiple areas of the business, gaining exposure to a wide variety of challenges and opportunities. You'll be central to shaping customer pricing strategies, driving value, and influencing decisions at the heart of a dynamic, forward-thinking organisation. As a business committed to sustainability and investing in its people, we're proud to hold Investors in People Gold accreditation. We offer clear opportunities for career progression, professional development, and the chance to make a real impact in a growing organisation where your work truly matters. Ready to make your mark? Apply now and help lead the future of pricing transformation at Markerstudy.

Data Quality Lead (Pensions) Hybrid working: 2 days in Preston, Lancashire, or remote with travel for candidates living 50+ miles from our Preston office £55-65k DOE + bonus and benefits 37 hours per week About Us LPPA is a leading third-party pension administrator for the Local Government, Police and Fire sectors. We deliver trusted, accurate and compliant pension services, underpinned by strong data quality. As we continue to grow and raise standards, we are looking for a Data Quality Lead to drive our data strategy and champion continuous improvement. The Role As Data Quality Lead, you will shape the strategic direction for improving scheme member data across LPPA. You will strengthen controls, enhance assurance arrangements and ensure our data supports regulatory compliance, effective governance and an excellent customer experience.Leading a specialist team of six, you will build capability, drive performance and deliver a high-quality, independent data quality service. Working closely with the Head of Data and Employer Engagement, you will bring together data quality frameworks, map and document data flows, and assess the effectiveness of our pensions systems to support robust data governance.This is a senior leadership role with ownership of data risks, remediation activity and best practice across pensions data management. It is focused on leadership, oversight and continuous improvement, rather than hands-on coding or purely analytical delivery. What we can offer you: - Competitive salary: £55k-£65k DOE, plus annual bonus scheme- 30 days' holiday, plus bank holidays, two concessionary days and your birthday off, with the option to buy and sell leave- Access to the Local Government Pension Scheme, with generous employer contributions- Health or Dental Plan- Enhanced Employee Assistance Programme- Employee Referral Scheme- Reward Discount Scheme - Your Perk Site- Wellbeing webinars and social events- Daily free fruit and snacks in the office- Free car parking in Preston city centre- A collaborative and inclusive culture Key Responsibilities - Lead LPPA's pensions data improvement plan, aligning priorities to regulatory requirements, client expectations, service performance and business objectives.- Embed an effective assurance regime, ensuring processes, controls and system design support high-quality pensions administration.- Work with Planning and Insights to understand root causes and the impact of data quality issues.- Ensure work is allocated effectively, and cases are processed and prioritised appropriately.- Oversee data readiness for actuarial valuation activity across Local Government, Police and Fire schemes.- Improve employer data performance, onboarding and data submissions, including oversight of TUPE transfers, employer cessations and new scheme employers.- Produce and present management information, with a focus on root cause and trend analysis against service levels and key metrics.- Support change projects, testing and audit activity, while reviewing processes to maximise technology and improve efficiency.- Input into the LPPA risk register and, where appropriate, act as risk owner for data risks.- Lead, motivate and develop six Data Quality Analysts/Technicians, creating a culture of accountability, collaboration and continuous development.- Build strong relationships across Member Services, Data Services and Employer Engagement so data priorities are integrated into service delivery and change activity.- Attend and present at client meetings, committees, boards and employer forums.- Contribute to budget planning, resource prioritisation and forward planning for Value Added Business activity.- Demonstrate strong understanding of regulatory requirements across Local Government, Police and Fire pension schemes. What you will bring: Essential - Previous management or senior management experience, ideally with at least five years' experience.- At least five years' experience in Local Government pensions administration.- Experience in client relationship and stakeholder management.- Experience managing change in a fast-paced and agile environment.- Ability to interpret complex data to inform decisions and drive improvement.- Experience reviewing and improving end-to-end processes.- Excellent verbal and written communication skills, with the ability to influence, articulate recommendations and make informed decisions.- In-depth knowledge of pensions administration operations, statutory requirements and industry standards, with the ability to apply regulatory changes to data quality strategies.- Strong analytical and problem-solving skills, including root cause analysis and data remediation.- Understanding of data quality frameworks, standards and best practice.- Experience designing and delivering data quality assurance programmes.- Proven leadership experience, including talent development, performance management and building a culture of innovation and accountability.- Experience leading or contributing to major data transformation projects.- A passion for delivering a first-class member and employer experience. Nice to have: - Knowledge of the UPM pensions administration system.- A relevant professional qualification in pensions administration, data quality or business management. Our Values At LPPA, our values guide how we work and how we deliver for members, employers, clients and colleagues:- Doing the right thing- Forward thinking- Working together- Committed to excellence

Pensions Analyst Salary: £28,000 - £40,000 depending on experience Join a specialist consultancy providing actuarial pensions advice for expert witness work. Our small team of highly qualified professionals supports solicitors with clear, accurate, and stress-free guidance on pension matters, predominantly within divorce proceedings and employment tribunal cases. The Role You will produce expert witness reports focused on pensions and divorce, working with instructing solicitors to analyse pension assets, interpret scheme documentation, and advise on division options. Key Responsibilities Assess cases and draft correspondence to instructing solicitors Review pension scheme documentation (e.g., CE values, benefit statements) Liaise with pension administrators to obtain required data Manage your own caseload to meet service standards Maintain accurate client records using Word, Excel, and an in-house CRM Proofread expert witness reports for technical and presentation accuracy Prepare invoices and support credit control processes What You'll Need Must-have: Proven experience in a DB pension scheme environment (life office, IFA, or pensions administration) Benefits We offer a comprehensive package of core and flexible benefits designed to support your wellbeing, financial security, and work-life balance, including: 27 days' holiday plus bank holidays, with the option to buy up to 5 additional days per year after 1 year's service Group Income Protection covering 70% of salary after long-term illness or injury Health Assessments after 6 months' service, plus fertility, pregnancy, parenthood and menopause support via Peppy Employee Assistance Programme (EAP) for emotional, practical, and legal support for you and your immediate family Discounted shopping scheme with offers from over 3,000 retailers Emergency dependant care with up to 10 funded sessions per year Eye care allowance, annual flu vaccination, and Group Life Insurance providing 8 base salary cover Group Personal Pension Plan (GPPP) with 8% employer core contribution plus up to 4% matched contributions, including salary sacrifice benefits Optional flexible benefits including private medical insurance, dental cover, critical illness, personal accident cover, gym discounts, Cycle to Work, Savings Plan, Share Incentive Plan, Season Ticket Loan, and Green Car Scheme (electric/hybrid vehicle leasing) If you feel like this is a role for you, please apply below

Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries. EQ's vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ. Core Duties/Responsibilities The Pensions Systems Analyst is responsible for software configuration to internal and external clients. Key aspects of the role are to: Undertake an analysis of pension's requirements from an outline of user requirements, or from a more detailed feasibility study. Agree the scope of work when undertaking a pension's analysis task and to provide accurate estimates to the relevant Project Manager for the work to be included. Develop and maintain Pension Scheme calculations across a range of products. Analyse Clients Pension Scheme data and establish data cleanse and data migration specifications (inclusive of data mapping). Define, configure, test, implement and maintain specific pension's elements across the whole suite of the Company's software. Continuously develop a professional, technical and commercially aware approach. Requirements Definition Undertake analysis on new pensions projects and/or enhancements to existing projects. Analyse changes and enhancements to client's pensions schemes by taking a view of their impact on the company's software as installed for the client. Liaise with clients to define pension calculation related processes using company utilities and techniques. Analyse Clients Pension Scheme data and establish data cleanse and data migration specifications (inclusive of data mapping). Skills, Knowledge & Experience Skills & Knowledge Administration of DB and / or DC Pensions Schemes. Good working Knowledge of UK Pensions Legislation and/or Actuarial (part) qualified. Ability to perform scheme calculations manually (supported by appropriate tools). Technical/Software development aptitude & ability. Capability to understand Pencalc, Workbench applications and supporting Data Model / Migration Tools. Knowledge of SQL / Oracle preferred. Qualifications & Experience Relevant qualifications in the Pensions & Actuarial Industry desirable (e.g. Pensions Management Institute Certification). UML Certification via ITSQB/ISEB or OMG desirable but not essential. Experience in the Pensions Industry, either as a Scheme Administrator or Business Analyst experienced in capturing requirements for Pensions IT Projects. Demonstrable software development capability. Demonstrate commercial awareness & operational efficiencies/income generation in current role. Essential Qualities Be approachable and responsive to colleagues and users and have an open-minded and constructive approach to problem solving. Demonstrate effective and probing appraisal of situations. To consult with relevant parties in resolving issues. Be self-motivated, demonstrating tenacity and objectivity in problem solving to get the job done effectively. What We Offer Save For Your Future - Equiniti Pension Plan; Equiniti matches your pension contributions up to 10% All Employee Long Term Incentive Plan (LTIP) - Gives all EQ Colleagues the opportunity to benefit if the current owners successfully sell the company for a profit. Health and Wellbeing - Employee Assistance Programme: counselling, legal & wellbeing support for colleagues and their households. Life assurance cover at 4x salary with the ability to purchase enhance cover. Employee discounts - Discounts and cashback at your favourite high street stores through our EQ Wins Platform. Flexible Benefits - The ability to purchase a wide variety of benefits through our flex plan; gadgets, travel insurance, will writing, holiday trading and more. Time Off - Typically 29 days holiday + bank holidays. 2 volunteer days to get involved with a charity of your choosing. Winning together - Equiniti ICON award vouchers; recognising the individuals going above and beyond to help the business succeed. Learning & Development - Investment in LinkedIn Learning for all colleagues. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks. These consist of 5 year activity & GAP verification, DBS or Access NI, Credit, Sanctions & CIFAS checks

We've partnered with a leading personal lines insurer to help them find a standout Lead Pricing Analyst to join their Home Pricing team. If you're passionate about data innovation and want to drive tangible improvements in pricing sophistication, this could be your ideal next move. Why This Role Stands Out: Big focus on external & geospatial data You'll lead the exploration and integration of new datasets-external and geospatial-to enhance pricing models, drive profitable growth, and bring new capabilities into the business. Strategic and technical balance This isn't a back-office modelling role. You'll be hands-on with pricing models and data, but also responsible for building business cases, presenting insights to senior stakeholders, and helping shape pricing strategy. Tools & Tech You'll work with GLMs and machine learning techniques using modern tools like R, Python, and actuarial pricing software. There's strong backing to innovate, test new approaches, and implement scalable solutions. Real impact in a supportive culture This is a business where pricing is seen as a growth driver-not just a compliance function. Your recommendations will directly influence commercial outcomes. What You'll Be Doing: Leading research into external and geospatial data to improve pricing models Building modelling frameworks to assess the value of new datasets Developing cost-benefit cases and supporting procurement of key data assets Conducting advanced pricing analyses and presenting clear, strategic insights Enhancing geospatial capabilities across risk selection, monitoring, and pricing Collaborating with legal, compliance, and external suppliers For more information please apply.