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Senior Financial Modeller - Watford (Hybrid) - Permanent - Up to £110,000 + Bonus \n \n IN2 Consult has an exciting opportunity for a Senior Financial Modeller to work with a market leading client of ours based in Watford. \n \n The Role \n \n This is a senior modelling and analysis position sitting at the heart of the finance function, owning the group's core financial models and acting as a key advisor to senior leadership on strategic decision-making. \n \n You'll take ownership of the long-range plan model — keeping it current with actuals and the latest forecast, and evolving it in line with the organisation's planning systems. Alongside this, you'll lead on building and maintaining sales forecasting models and other Excel-based tools using modelling best practice, making sure they stay genuinely useful as the business changes shape. \n \n A big part of the role is translating numbers into a story. You'll design input templates so financial data can be captured cleanly from across finance and commercial teams, then build outputs — using data visualisation, trend analysis and other techniques — that make results easy for non-finance stakeholders to understand and act on. \n \n You'll also be relied on for: \n\n • Efficient, well-controlled production of Excel-based reporting, with accuracy checks built in\n, • High-quality ad-hoc analysis to support strategic decisions across Finance, Commercial and the senior leadership team\n, • Adapting and building models for business case appraisal, scenario planning, stress testing and financial resilience work\n, • Making sure models and outputs meet both business planning needs and regulatory expectations — spotting gaps between the two and finding practical fixes\n, • Working closely with the Executive Team and wider stakeholders to deliver to deadline, even where requirements shift or aren't fully defined\n, • Supporting senior finance leadership with reporting packs, analysis and messaging for both internal leadership and external regulatory stakeholders\n, • Writing training materials and guides so the wider finance team can eventually take ownership of the models and reports themselves\n\n \n What you'll bring \n\n • ACA/ACCA/CIMA Qualified (ideally)\n, • A strong track record building and maintaining integrated Excel/PowerPoint models — P&L, balance sheet, cash flow, KPIs, budget vs actuals and trend analysis\n, • Experience supporting business planning cycles, producing models and reporting packs that genuinely shape senior-level decisions\n, • Solid grasp of how the three financial statements interconnect, and how operational performance feeds through to balance sheet and cash flow\n, • Comfort with agile scenario planning — reacting quickly when assumptions change and giving clear, decision-ready guidance\n, • A collaborative approach, happy working through problems constructively with colleagues across the business\n, • Strong communication and stakeholder management skills — able to cut through complexity and land clear recommendations under pressure\n, • The gravitas to work with senior leaders directly, challenge thinking where needed, and influence through well-evidenced insight\n, • A proactive mindset — flagging risks and opportunities early, working independently at pace, and adjusting how you communicate upward as needed\n, • Genuine comfort with ambiguity — able to structure a problem, chart a sensible path through it, and keep people aligned as things evolve\n, • Exposure to a cloud-based enterprise planning/reporting platform is a plus (system mapping/light configuration), though not essential\n\n \n Senior Financial Modeller - Watford (Hybrid) - Permanent - Up to £110,000 + Bonus \n

As a Financial Modeller in the insurance sector, you'll play a key role in building and refining financial models from scratch to support a project within the business. Based in London, this temporary role will involve working closely with stakeholders to ensure models are accurate, efficient and tailored to business needs. \n Client Details \n An organisation within the insurance industry, based in London (limited office requirement but candidate must be able to commute to London) \n Description \n\n • Design and build a scalable Excel-based sub-consolidation framework.\n, • Develop models capable of processing 200+ trial balances across multiple business units and reporting views.\n, • Create reporting outputs covering Profit & Loss, Balance Sheet and Cash Flow statements.\n, • Implement a structured adjustment layer for consolidation journals, eliminations and reclassifications.\n, • Build controls and reconciliation processes to ensure outputs align with the main group consolidation.\n, • Support the creation of multiple reporting scenarios and future expansion of the model architecture.\n, • Produce clear documentation and model user guides.\n, • Work closely with finance stakeholders to ensure reporting requirements are fully met.\n, • Deliver knowledge transfer and training to internal teams at the conclusion of the assignment.\n\n Profile \n\n • Advanced Excel modelling expertise.\n, • Proven experience developing complex financial models within large, international organisations.\n, • Strong group consolidation experience.\n, • Experience working with significant volumes of trial balance data.\n, • Excellent understanding of financial statements, including P&L, Balance Sheet and Cash Flow reporting.\n, • Strong stakeholder management and communication skills.\n\n Job Offer \n\n • Daily rate of £540 to £650 umbrella, dependent on the level of experience.\n, • Temporary contract based in London.\n, • Flexible and hybrid working model.\n\n If you're interested in this role, apply now. \n \n People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best.

Hydraulic Modeller Location: London Salary: £40,000 - £50,000 An exciting opportunity for a Hydraulic Modeller to join a growing consultancy in London, working on a range of flood risk, drainage and water management projects across the UK. The Role: Develop and run 1D/2D hydraulic models using software such as Flood Modeller, TUFLOW and/or InfoWorks ICM. Undertake flood risk assessments, hydraulic assessments and drainage studies. Analyse model outputs and produce technical reports, drawings and flood mapping. Support scheme development, including flood mitigation and drainage design. Work closely with engineers, planners, environmental consultants and clients. Contribute to projects from initial assessment through to detailed design and delivery.The Candidate: Degree qualified in Civil Engineering, Hydrology, Water Engineering or a related discipline. Experience in hydraulic modelling and flood risk assessment. Proficiency with TUFLOW, Flood Modeller, InfoWorks ICM or similar. Strong GIS and data analysis skills. Good technical report writing and communication skills. Consultancy experience would be advantageous.The Package: Competitive salary and benefits. Hybrid working with a London-based team. Varied technical projects and opportunities for progression. Professional development and support towards relevant chartership

As a Financial Modeller in the insurance sector, you'll play a key role in building and refining financial models from scratch to support a project within the business. Based in London, this temporary role will involve working closely with stakeholders to ensure models are accurate, efficient and tailored to business needs. Client Details An organisation within the insurance industry, based in London (limited office requirement but candidate must be able to commute to London) Description Design and build a scalable Excel-based sub-consolidation framework. Develop models capable of processing 200+ trial balances across multiple business units and reporting views. Create reporting outputs covering Profit & Loss, Balance Sheet and Cash Flow statements. Implement a structured adjustment layer for consolidation journals, eliminations and reclassifications. Build controls and reconciliation processes to ensure outputs align with the main group consolidation. Support the creation of multiple reporting scenarios and future expansion of the model architecture. Produce clear documentation and model user guides. Work closely with finance stakeholders to ensure reporting requirements are fully met. Deliver knowledge transfer and training to internal teams at the conclusion of the assignment.Profile Advanced Excel modelling expertise. Proven experience developing complex financial models within large, international organisations. Strong group consolidation experience. Experience working with significant volumes of trial balance data. Excellent understanding of financial statements, including P&L, Balance Sheet and Cash Flow reporting. Strong stakeholder management and communication skills.Job Offer Daily rate of £540 to £650 umbrella, dependent on the level of experience. Temporary contract based in London. Flexible and hybrid working model.If you're interested in this role, apply now. People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best

Data Modeller London (Hybrid, 2 days per week) Up to £65,000 This is a fantastic opportunity for a Data Modeller, Analytics Engineer, or data professional with strong modelling expertise to join a growing architecture function and help shape the future of enterprise data. You'll play a key role in establishing data standards, supporting a modern cloud-based data platform, and developing your career towards Data Architecture within a highly collaborative environment. The Company They are a large, purpose-led organisation investing heavily in data, architecture, governance, and cloud technologies as part of an ongoing transformation programme. The business is focused on strengthening its data foundations, improving decision-making, and building scalable platforms that support long-term organisational objectives. This role sits within a well-established architecture practice and offers excellent exposure across data, technology, and business teams. The Role • Design and develop conceptual, logical, and physical data models, • Support the definition and maintenance of enterprise data modelling standards, • Translate business requirements into scalable and effective data structures, • Apply dimensional modelling methodologies including Kimball and Data Vault, • Collaborate with Data Engineers, Analysts, Architects, and Governance teams, • Support the development of modern cloud-based data platforms and reporting solutions, • Contribute to data transformation and modernisation initiatives, • Document data structures, relationships, metadata, and modelling artefacts, • Promote architecture best practice and data governance standards across the organisation, • Develop architecture knowledge and progress towards a Data Architect career path Your Skills & Experience • Strong commercial experience in data modelling within modern data environments, • Experience designing conceptual, logical, and physical data models, • Strong understanding of dimensional modelling methodologies, including Kimball and/or Data Vault, • Experience working with cloud-based data platforms, ideally within Azure environments, • Understanding of data architecture principles and a genuine interest in developing into an architectural role, • Experience working closely with Data Engineers, Analytics teams, and business stakeholders, • Exposure to Microsoft Fabric, Databricks, Python, PySpark, or dbt would be beneficial, • Experience with data modelling tools such as Sparx EA, Sparx Enterprise Architect, Enterprise Architect, ER/Studio, ERwin, Erwin Data Modeler, PowerDesigner, SAP PowerDesigner, or comparable modelling platforms, • Understanding of Medallion Architecture or modern data platform design principles would be advantageous, • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences

Spectrum IT Recruitment in London is seeking a Quantitative Analyst to join a talented sports trading team. You’ll work with large datasets, building and refining quantitative models and applying statistical methods to uncover patterns and opportunities. You will collaborate with analysts, developers and traders to enhance models and support data‑driven decisions using historical and live data. A strong maths/tech foundation and a passion for sports data are essential. #J-18808-Ljbffr

Exposure Management - Property and Treaty Lead Supervisory responsibilities Senior Analysts and Analysts for managed classes Job summary This is an FTC role to provide Maternity leave cover for the Property and Treaty Lead role within Chaucer's Exposure Management Team, across all Property and Treaty business. This role includes the line management and development of the Senior Analysts and Analysts across all Property and Treaty classes, in addition to the supervision of any external outsourced resources. The job holder requires an in-depth knowledge of catastrophe modelling and exposure management. The role includes dynamic interaction with the Property and Treaty Underwriters in providing them with an accurate view of their portfolio as well as with insightful analytics to support their strategy. The Property and Treaty Lead is responsible for ensuring that the exposure information used for the monthly roll ups and reporting is captured fully and accurately in the appropriate systems. The Property and Treaty Lead is responsible for the overall account modelling for underwriting and pricing using internal and external modelling platforms, analysing, and explaining modelled results, monitoring aggregate usage, and maintaining a complete and accurate portfolio of accounts. In addition, this role requires working with underwriters and alongside the central exposure management team to assist in setting, monitoring and reporting on relevant internal and external appetites. Working in conjunction with the Portfolio Manager to implement any new appetites as required. The Property and Treaty Lead duties include implementing automation and identifying efficiencies for operational improvement, providing training to modellers / outsourcing team and any other ad hoc activities associated with the strategic aims of the Exposure Management Team. Working in conjunction with the Portfolio Manager, Specialty Lead and Emerging Risk Lead to ensure consistency and efficiencies across all classes. Main duties • Oversee the utilisation of various catastrophe modelling platforms to process, model and analyse aggregate and detailed exposure data, • Oversee the provision of analysis and insight into the model outputs to underwriters at both an account and portfolio level including the creation of pro forma modelling information to support the business plan, • Oversee the monitoring of portfolios against risk appetite measures, • Oversee the maintenance of the in-force Property and Treaty portfolio and ensuring the completeness and accuracy of the data and results, • Oversee the process for providing modelling information to outwards reinsurers for classes under the role's remit., • Work closely with Underwriting Management (Divisional Heads) to understand their priorities and manage their expectations accordingly and support any growth strategies, • Provide management, training and development of exposure analysts, • In conjunction with the Portfolio Manager, work closely with the R&D team to prioritise and contribute to the validation for both internal and externally licensed catastrophe models Additional Responsibilities, • Participating in the wider activities of the Exposure Management Team, • From time to time, taking part in relevant projects throughout the wider business, • Keeping up-to-date with new science and technological developments in the Catastrophe Management field, • Performing other related duties to meet the on-going needs of the organisation Skills, Knowledge and Experience Essential • Experienced Property catastrophe modeller, • Team management experience Technical Skills Essential • Excellent numeracy skills with a good understanding of probability and statistics, • High level understanding of insurance and reinsurance financial terms, • Microsoft Excel and MS SQL, • High level of understanding of the statistical methodologies underlying catastrophe models, • A comprehensive understanding of Risklink Desirable, • Knowledge of GIS and/or other mapping software, • Knowledge of or interest in programming languages, including R and Python Qualifications Desirable • Educated to degree level preferred but not essential for an excellent candidate, • Other relevant professional qualifications such as ACII, CRM or CCRA Personal Skills, • Excellent organisational skills and able to meet deadlines and objectives, • Positive, proactive and self-motivating, • Excellent analytical skills and logically minded, • Team player with supervisory skills, • Excellent communications skills; able to present complex information clearly and concisely, • Influencing skills with the ability to build effective relationships ABOUT US Chaucer is a leading insurance group at Lloyd's, the world's specialist insurance market. We help protect industries around the world from the risks they face. Our customers include major airlines, energy companies, shipping groups, global manufacturers and property groups. Our headquarters are in London, and we have international offices in Bermuda, Copenhagen, Dubai and Singapore to be closer to our clients across the world. To learn more about us please visit our website. Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics which are outlined in the Equality Act 2010 (UK legislation) as a result of the Equal Treatment Directive 2006 (EU legislation). A diverse workforce and an inclusive workplace are core to our success as a business and integral to our winning strategy and culture. We recruit from the widest available pool of talent, and our hiring, assessment and selection process is fair, free from bias and one which ensures we select the right person for the job, based on merit. We are committed to promoting a culture that actively values difference, and recognises that everyone has the right to be treated with dignity and respect throughout their employment. We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process.

hackajob is partnering directly with Southern Water to hire for this role. Closing Date 2026-10-30 Job Title: Domain Data Modeller Location: : Durrington (Worthing) or Falmer (Brighton), with hybrid working requiring two days per week in the office Hours: 37 hours per week Contract: Permanent Salary: Competitive + benefits Shape the future of data and analytics Southern Water is on a major data transformat... JBRN1_UKTJ

hackajob is partnering directly with Moneybox to hire for this role. About Moneybox At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether theyre saving and investing, buying their first home, or planning for retirement. Job Brief Moneybox serves more than 2M customers and runs a live service handling over 20M API requests a day. We have agreed a company-wide AI Platforms strategy and are building a new AI Deployment team to deliver on it. This is the first of several Senior AI Deployment Engineer hires, reporting to the Head of AI Platforms & Deployment. You will be a forward-deployed senior engineer who unlocks AI-driven solutions to business problems: an expert in deploying AI and using it safely, not an ML modeller. The work is mainly Python across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types of project: Departmental engagements. Embed with departments to AI-enable tasks and processes in a more sophisticated way than "just ask Claude" - for example, Python pipelines where one step is an LLM API call - delivering real incremental value with each engagement and transforming working patterns into load-bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built by our ML and Decisioning teams into production: the engineering implementation layer between a working model and a live customer feature. AI platform capabilities. Work with the AI Platforms team to turn engagement patterns into safe, increasingly self-serve company-wide tooling. Departments across Moneybox are already building AI tools themselves - we want to provide them with a safe path to load-bearing use at scale. This role catches that demand and matures it properly. What You'll Do Own engagement delivery end to end. Scope with the department, design the solution, build it, deploy it, and agree the handover and ownership model - from prototype through to stable production. Engagements arrive as vague pain; you define the problem, not just the solution. Engineer AI solutions properly. Pipelines, LLM API integration, evals, guardrails, monitoring, and cost and accuracy optimisation for the systems you build. Know when a step must be deterministic and when an LLM is the right tool. Graduate tools into business systems. Take shared, team-load-bearing tools that people have built for themselves and rebuild them as owned business systems under a full SDLC where the value justifies it. Deploy ML-built components into production. Serving, integration with the Moneybox platform, and everything surrounding the model, in partnership with Decisioning and Data Science teams (who own what happens inside the model) and our engineering squads. Build reusable capability. Convert engagement learnings into shared tooling, templates, playbooks and self-serve workflows on the AI Platforms stack. Building out platform components including guardrails, sandboxing, workflows, and gateways. Raise the bar. Work alongside embedded specialists during the team's ramp-up, absorbing and internalising their output so the capability stays with Moneybox. In your first three months we expect your first departmental engagements to be selected on feasibility and delivered with measurable business value - time saved, cost avoided, risk removed - and at least one ML-built capability deployed to production with proper evals, monitoring and cost controls. This role is explicitly not ML model training or data science, and it is not a chatbot-prompting generalist: this is production software engineering with AI at its core. Who You Are A production engineer with AI at the core. You have built and shipped LLM-powered systems that ran in production and can talk concretely about evals, failure modes, cost curves, and what you would do differently. Comfortable in ambiguity. You can walk into a department with a vague problem and leave with a scoped, deliverable system, and you are managed by exception rather than by direction. A strong partner to non-technical owners. Embedding, scoping and communicating with people who own a business process but not the technology is the job, not a distraction from it. A platform thinker. You have turned one-off solutions into reusable tools or platforms before and you look for the pattern in every engagement. Operationally minded. You care about monitoring, cost and reliability of what you ship, and about making a prototype into a system someone can rely on. Safety-conscious by habit. PII handling, data-boundary discipline, prompt-injection awareness, human-in-the-loop design and graceful failure are how you build, not a checklist you apply afterwards. Skills & Experience Essential 5+ years of software engineering with meaningful production ownership. Has built and shipped LLM-powered systems that ran in production. Production-grade Python as your primary language. LLM-powered systems in production: real-world experience working with models via APIs - harnesses, orchestration, structured output, tool use and agents, RAG where appropriate. Evals and quality: designing evaluation sets, measuring accuracy, recall and precision for LLM steps, regression-testing prompts and workflows. Safety and guardrails in practice: PII handling, data-boundary discipline, prompt-injection awareness, human-in-the-loop design. Cost and performance optimisation: model selection, caching, batching, token economics, latency budgets. Deployment and operations: CI/CD, containerisation, monitoring and alerting for AI workloads. Data processing fundamentals: pipelines, transformation, validation, anomaly handling. Customer- or stakeholder-facing delivery experience: consultancy, forward-deployed engineering, solutions engineering, or embedded or platform roles serving non-engineering users. Desirable Experience with Azure and/or .NET. We host on Azure and our core stack is .NET, so willingness to integrate with both is required; existing expertise is a bonus rather than a requirement. Experience with agent hosting and sandboxing platforms, LLM or MCP gateways, or agentic workflow orchestration tooling. Experience in financial services or another regulated environment. Experience deploying models built by a data science team into customer-facing production systems. TPBN1_UKTJ

Description The Asset Risk Senior Risk Modeller role sits in the Asset Risk Function, which has the responsibility for forecasting Motability Operation's key financial risks, including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities: You will proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy You will work with the Modelling Manager to oversee the operational delivery of the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and provide steer and challenge to ensure improvements are approved and delivered You will take the lead and proactively engage with the critical thinking and operational activity needed for the accurate and timely delivery of the critical BAU requirements for all key models associated with residual value forecasting, maintenance spend, customer pricing, and economic capital You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between the models and Asset Risk deliverables You will take the lead and proactively engage with the critical thinking and activity required to deliver the strategic projects from the Modelling team, ensuring all deliverables and outcomes are jointly owned with business SME's You will work with the Modelling Lead to ensure the Modelling Team are as engaged with explaining and owning the outputs and outcomes as they are with operating and developing our models, and with the equivalent engagement from non-modelling teams You will proactively challenge the way we work, and feed into the Asset Risk Strategy roadmap, and support in ad hoc queries where possible You will form collaborative relationships to ensure the Model Team deliverables (BAU and strategic projects) are effectively managed and delivered in line with a matrix way of working approach across the Asset Risk Operational Teams and fellow Asset Risk output owners You will play a pivotal role in ensuring the AR Operational Teams (Programme, Product, Modelling and Data) work closely with each other to support on cross over areas (e.g. tools) and reduce the opportunity for knowledge gaps You will be an effective coach and mentor for the wider Modelling Team, working with the Modelling Manager to ensure the team and individuals have the right skills and development paths to meet the needs of the business. You will be an advocate for Asset Risk, and work with colleagues around the business to promote best practices and skills & knowledge sharing. You will proactively work with the Modelling Lead to engage with relevant 3rd parties (industry bodies, commentators and experts) to ensure Asset Risk activities are appropriately aligned with external best practice. Qualifications Planning: Ability to coordinate multiple stakeholders, colleagues and deadlines Modelling: Ability to understand, operate, and explain complex models Accuracy & attention to detail: Ensuring accuracy in models and forecasts. Problem solving skills: Ability to develop solutions for complex financial problems. Communication skills: Can explain technical concepts to non-technical stakeholders. Commercial awareness: Can understand the business environment, market trends, and the financial impact of decisions to align models with the organisation's strategic goals. Minimum criteria: A degree (Bachelor's or Masters) in Statistics, Mathematics, Economics, Data Science, or a related field Over 3 years of experience in forecasting, data analysis, or a related field Over 3 years experience of delivering complex model updates (operational and development) with the effective communication of model outcomes Proven experience with statistical software (e.g., R, Python, SAS) and forecasting tools Experience managing complex projects and coaching analysts Benefits Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 800,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10. Our values are at the heart of everything we do. They represent ambition, and we look for our people to live and breathe them every day: We find solutions We drive change We care We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available. As a Motability Operations team member, you can expect: An annual discretionary bonus 15% non-contributory pension (9% non-contributory pension during probation period) Life assurance at 4 times your basic salary to give you peace of mind that your loved ones will receive some financial help Employee Discount Scheme with a huge number of retailers and an app to save on the go Discounted Electric/Hybrid Car Salary Sacrifice Scheme Access to the Cycle to Work Scheme (we have showers, changing rooms and secure bike sheds on site) As well as financial benefits, our staff's health and well-being are very important to us, so we also offer: 28 days annual leave with option to purchase and sell days Funded Private Medical Insurance cover Critical illness insurance Free access to healthcare apps, such as Peppy, Unmind, Aviva Digital GP Funded health screening for over 50s 1 day per year to volunteer - Staff can support a local charity or do a sponsored event whilst being paid for it Access to our fully accessible company allotment - Where we grow our own produce for local charitable organisations Access to Prayer room and quiet spaces whilst working in the office We also understand that not everyone is the same so offer several voluntary benefits that you can select outside the core package, these include; Dental Insurance Health and cancer screenings for you and your partner Discounted gym memberships Charitable giving At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they're rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender. We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility. Please note, Motability Operations reserves the right to bring forward the closing date of any of its job vacancies if we receive a suitable number of quality applications from which to make a shortlist. Therefore, we recommend that you apply as soon as possible rather than wait until the published closing date. TPBN1_UKTJ

Planning Specialist - Customer Experience Location: Cardiff Salary: £35,000 Job Type: Permanent About the Role We are looking for an experienced Planning Specialist to join a busy Customer Experience/Contact Centre environment. The role will focus on workforce planning, demand forecasting and resource optimisation , ensuring the right level of resource is available to deliver excellent customer service while operating efficiently. Key Responsibilities Develop short, medium and long-term demand forecasts and resource plans . Build and maintain forecasting and planning models to support operational KPIs. Manage and utilise WFM/WFO systems for forecasting and scheduling. Analyse contact centre performance, trends and operational data to improve forecasts and plans. Work closely with stakeholders and Real-Time teams to deliver effective multi-channel workforce plans. Support real-time service-level management, including schedule adherence and offline activity. Identify future resource and operational challenges and recommend appropriate solutions. Continuously review and improve planning processes and best practice. About You Proven experience in workforce/resource planning and demand forecasting . Experience working within a contact centre/customer operations environment. Strong knowledge of WFM/WFO systems , forecasting and scheduling. Experience developing forecasting models for a multi-channel environment . Strong Excel skills. Excellent analytical, communication and stakeholder-management skills. The ability to translate complex data into clear, actionable insights. A proactive approach to identifying issues and improving processes. Experience with CACI Forecaster, IBM Modeller or similar advanced modelling tools would be advantageous but is not essential. TPBN1_UKTJ

Description The Risk Modeller role sits in the Asset Risk Function, which has the responsibility for forecasting Motability Operation's key financial risks, including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix management operation, responsible for operating a strong model risk management framework that ensures models are a trusted asset, and ensuring the forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities You will operationalise the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and ensure risks and issues are flagged and solutions sought and delivered You will use critical thinking during the accurate and timely operational update and delivery of the critical BAU requirements for Asset Risk models associated with residual value forecasting, maintenance spend, insurance, customer pricing, and economic capital You will confidently operate and explain the various model process updates related to data, modelling assumptions, modelling techniques, business forecasts and policy assessments, etc, to ensure a comprehensive understanding of your work and the model outcomes across a variety of stakeholders You will have an effective understanding of the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the models, delivering challenge and communication required to close the gap between the models and Asset Risk deliverables You will support the Modelling Lead and Senior Risk Modeller with the critical thinking and activity required to deliver the strategic projects from the Modelling team, ensuring your activity aligns with the wider business SME's You will always ensure that the models and their outcomes are jointly owned with the modelling teams and business area owners, ensuring the models and messaging meet the needs of the business and are not seen as theoretical 'black boxes' You will understand the tools and systems used to deliver all model activities, including the DSML tools (AWS Sagemaker),Snowflake and collaborate and advocate for the right approach as the needs of the business and technology evolves You will work in collaborative relationships to ensure the Modelling Team deliverables (BAU and strategic projects) are effectively managed and delivered in line with a matrix way of working approach across the Asset Risk Operational Teams and fellow Asset Risk output owners You will be an advocate for Asset Risk, and work with colleagues around the business to promote best practices and skills & knowledge sharing. You will support the deliver of wider Asset Risk deliverables outside of the Modelling Team on an ad hoc basis You will support the coaching of colleagues in Asset Risk and the wider business, promote best practice, skills and knowledge sharing Develop collaborative and enduring relationships with the Asset Risk and wider business stakeholders and colleagues Qualifications Planning: Ability to coordinate multiple stakeholders, colleagues and deadlines Modelling: Ability to understand, operate, and explain complex models Accuracy & attention to detail: Ensuring accuracy in models and forecasts. Problem solving skills: Ability to develop solutions for complex financial problems. Communication skills: Can explain technical concepts to non-technical stakeholders. Commercial awareness: Can understand the business environment, market trends, and the financial impact of decisions to align models with the organisation's strategic goals. Minimum criteria You'll need all of these. A degree in Statistics, Mathematics, Economics, Data Science, or a related field Experience in forecasting, data analysis, or a related field Experience with statistical software (e.g., R, Python, SAS) and forecasting tools Experience working on projects and modelling BAU Desirable criteria Experience in the specific industry relevant to the forecasting role (e.g., finance, retail, manufacturing) is highly valuable Experience with advanced analytical techniques, including machine learning and predictive modelling Benefits Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 800,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10. Our values are at the heart of everything we do. They represent ambition, and we look for our people to live and breathe them every day: We find solutions We drive change We care We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available. As a Motability Operations team member, the benefits you can expect are: Competitive reward package including an annual discretionary bonus 15% non-contributory pension (9% non-contributory pension during probation period) 28 days annual leave with option to purchase and sell days Free fresh fruit and snacks in the office 1 day for volunteering Funded Private Medical Insurance cover Electric/Hybrid Car Salary Sacrifice Scheme and Cycle to Work Scheme Life assurance at 4 times your basic salary to give you a peace of mind that your loved ones will receive some financial help Funded health screening for over 50s Voluntary benefits: charitable giving, critical illness insurance, dental insurance, health and cancer screenings for you and your partner, discounted gym memberships and season ticket loans Employee Discount Scheme with an app to save on the go Free access to healthcare apps such as Peppy, Unmind, Aviva Digital GP and volunteering app on Hand for all employees Generous family leave policies At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they're rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender. We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility. TPBN1_UKTJ

Principal Consultant - Lead Data Analyst / Data Modeller Company: Transform TogetherContract: 6-month Fixed Term Contract, with option to extend or become a permanent member of the teamCompensation: OTE £90,000Location: Hybrid / client-site as requiredTechnology environment: AWS, Databricks, Lakehouse architecture, complex relational databases, ETL/CDC pipelines About Transform Together Transform Together is a digital transformation consultancy helping organisations deliver business and technology change. We work with clients to bridge the gap between business ambition, operating model change and technology delivery. We are growing our data and AI delivery capability and are looking for a Lead Data Analyst / Data Modeller to support the delivery of a strategic data platform within a complex financial services environment. Role Overview We are looking for a hands-on Lead Data Analyst / Data Modeller to define, build and govern canonical data models that will underpin a modern cloud-based data platform.This is not a pure reporting analyst role. The role requires someone who can understand complex financial services data, translate operational processes and business logic into clear data requirements, and work closely with engineering and architecture teams to turn those requirements into scalable AWS and Databricks-based data products.The successful candidate will be central to shaping the data foundation for multiple platform capabilities, including: Data extraction and ingestion from complex relational databases.Data quality, validation and exception management.Outbound client reporting and self-service reporting.Reconciliation and data movement processing.Automated analytical outputs and operational data products. The core outcome of the role is to create a reusable, governed, canonical data model that standardises data across clients, schemes, source systems, processes and downstream outputs. Key ResponsibilitiesCanonical Data Modelling Lead the design and development of canonical data models for a modern financial services data platform.Define conceptual, logical and physical data structures across key business entities, including clients, schemes, members, benefits, products, sources, transactions, movements, payroll, validation results and reporting outputs.Translate data from complex relational databases, operational systems, client files and third-party data sources into standardised canonical structures.Define source-to-target mappings, transformation rules, data definitions and data lineage.Ensure the canonical model supports downstream capabilities including validations, reporting, reconciliation, automated processing, analytics and future AI-enabled use cases.Work with Solution Architects and Data Engineers to ensure the model is implementable within AWS and Databricks architecture. Data Analysis, Requirements and Quality Control Interpret complex operational processes, data flows, business logic and stakeholder needs.Convert business and operational requirements into clear data requirements, mapping documents, model specifications and acceptance criteria.Support workshops with business SMEs, technology stakeholders, architects and engineering teams.Challenge unclear or incomplete requirements and identify where business logic is hidden in spreadsheets, manual processes or individual SME knowledge.Analyse legacy data structures and identify standardisation, cleansing, transformation and remediation needs.Define data quality rules, validation logic and exception handling requirements.Support metadata-driven validation design, ensuring validation rules can be stored, maintained and audited against the canonical model.Analyse data quality issues and identify repeatable remediation patterns.Define data quality dashboards, exception reporting and data health metrics.Ensure validation outputs can support audit, regulatory assurance and operational sign-off. ETL, CDC and Engineering Collaboration Work with Data Engineers to define ingestion requirements from complex relational databases, operational platforms and structured client files.Produce clear source-to-target mapping documents for ETL and CDC pipelines.Validate that engineering outputs align to the agreed canonical model and business rules.Support data reconciliation between source systems, staging layers, transformed data and reporting outputs. Reporting, Reconciliation and Data Product Enablement Define the data structures required for outbound client reporting, including client-level, scheme-level, member-level and movement-based reporting.Support automated report data models for PDF, Excel, dashboards and client self-service outputs.Support reconciliation use cases by defining movement, current-position and exception-based data requirements.Support automation use cases by identifying data needed to populate operational tools, automate filtering and create reusable outputs.Ensure data models can support client-specific variations while avoiding excessive bespoke build. Documentation and Governance Produce and maintain data dictionaries, entity relationship models, lineage documentation, mapping specifications and data quality rule catalogues.Document assumptions, unresolved questions, data risks and model design decisions.Support architecture review and governance forums with clear data analysis evidence.Ensure documentation is usable by engineering, QA, business stakeholders and future support teams.Help establish data modelling standards and reusable templates for Transform Together’s wider data and AI delivery capability. Key DeliverablesThe Lead Data Analyst / Data Modeller will be expected to produce and own the following outputs: Canonical data model.Conceptual, logical and physical data model views.Source-to-target mapping documents for complex relational databases and structured data sources.Data dictionary and business glossary.Data quality and validation rule catalogue.Data lineage and transformation documentation.Data requirements for ingestion, validation, reporting, reconciliation and automation capabilities.Reporting data model and movement/reconciliation data structures.Data acceptance criteria and test support documentation.Data issue log, assumptions log and model decision log.Handover documentation for engineering, QA and operational support. Essential Skills and Experience Experience in financial services, pensions, insurance, wealth management, asset management or regulated data environments.Strong experience as a Lead Data Analyst, Data Modeller or Senior Data Analyst on complex data platform delivery.Proven experience designing canonical data models or enterprise logical data models.Strong understanding of data modelling techniques, including conceptual, logical and physical modelling.Strong SQL skills and ability to interrogate complex relational data structures.Experience working with cloud data platforms, ideally AWS and Databricks.Understanding of modern data architecture, data ingestion, ETL/ELT pipelines and CDC patterns.Ability to work closely with Data Engineers, Solution Architects, QA, business SMEs and senior stakeholders.Strong understanding of data quality, validation rules, reconciliation and exception management.Experience working in Agile or hybrid delivery environments.Excellent stakeholder management skills, with the ability to explain complex data topics to non-technical audiences.Strong documentation discipline and attention to detail. Desirable Experience Experience working with complex relational databases and legacy operational platforms.Experience with regulatory, client or operational reporting.Experience supporting data migration, legacy system modernisation or platform replacement.Experience with Databricks, Delta Lake, Spark SQL or PySpark.Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines.Experience working in consultancy or client-facing delivery environments. Behaviours and Consulting Fit We are looking for someone who can operate with the pace, ownership and clarity expected in a consulting environment. The right person will be: Structured and analytical, with strong attention to detail.Comfortable working with ambiguity and incomplete documentation.Confident challenging business and technical stakeholders when requirements are unclear.Collaborative, pragmatic and delivery-focused.Able to bridge business, data and engineering teams.Comfortable working at both detailed data-field level and wider platform-design level.Proactive in identifying risks, assumptions and dependencies.Clear in communication and able to simplify complexity.Accountable for outcomes, not just analysis outputs.

Public Sector - International Education We are recruiting an experienced Data Analyst Modeller to join a major digital transformation programme within a large international organisation.

AI-Ready Data Products – Partner with data product owners across the business to bring their data products in line with AI-ready data principles. The Enterprise Data & Analytics team reports to the Chief Data Officer and supports decision-making across Fitch Group through insights, analytics, and

Strong experience as a Lead Data Analyst, Data Modeller or Senior Data Analyst on complex data platform delivery. We are growing our data and AI delivery capability and are looking for a Lead Data Analyst / Data Modeller to support the delivery of a strategic data platform within a complex financial

As a Financial Modeller in the insurance sector, you'll play a key role in building and refining financial models from scratch to support a project within the business. Based in London, this temporary role will involve working closely with stakeholders to ensure models are accurate, efficient and tailored to business needs. Client Details An organisation within the insurance industry, based in London (limited office requirement but candidate must be able to commute to London) Description Design and build a scalable Excel-based sub-consolidation framework. Develop models capable of processing 200+ trial balances across multiple business units and reporting views. Create reporting outputs covering Profit & Loss, Balance Sheet and Cash Flow statements. Implement a structured adjustment layer for consolidation journals, eliminations and reclassifications. Build controls and reconciliation processes to ensure outputs align with the main group consolidation. Support the creation of multiple reporting scenarios and future expansion of the model architecture. Produce clear documentation and model user guides. Work closely with finance stakeholders to ensure reporting requirements are fully met. Deliver knowledge transfer and training to internal teams at the conclusion of the assignment.Profile Advanced Excel modelling expertise. Proven experience developing complex financial models within large, international organisations. Strong group consolidation experience. Experience working with significant volumes of trial balance data. Excellent understanding of financial statements, including P&L, Balance Sheet and Cash Flow reporting. Strong stakeholder management and communication skills.Job Offer Daily rate of £540 to £650 umbrella, dependent on the level of experience. Temporary contract based in London. Flexible and hybrid working model.If you're interested in this role, apply now. People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best

Analytics Engineer - 6 Months - Inside IR35 - London / Bristol Our client, a leading telecoms organisation in the search for an experienced Analytics Engineer to join a high performing data and analytics team. This role will focus on designing and building analytics-ready data models, enabling self-service reporting, and delivering trusted datasets that support strategic business decision-making across the organisation. Key Responsibilities Design and develop scalable analytical data models and reporting datasets. Translate business requirements into robust, analytics-ready solutions. Build and optimise SQL-based transformations within cloud data platforms. Develop semantic models and data layers to support reporting and BI tools. Work closely with stakeholders to define business metrics and reporting requirements. Support the delivery of self-service analytics capabilities across the business.Required Experience Proven experience in an Analytics Engineer, Data Modeller or similar role. Strong SQL skills with experience building analytical data models. Experience working with cloud data platforms such as GCP/BigQuery. Strong understanding of dimensional modelling, star schemas and data warehousing concepts. Experience developing reporting datasets and enabling self-service analytics. Ability to engage with business stakeholders and translate requirements into data solutions.Desirable Experience with Looker, LookML or similar semantic modelling tools. Experience with dbt and modern data stack technologies. Background within customer, consumer, commercial or telecoms analytics environments. Python scripting and automation experience.If the role aligns with your interest please apply with your updated CV

Data Modeller £500 per day | Outside IR35 | 12 Month Contract – Likely Extension Hybrid – Stratford, London | 2 Days Onsite per Week We are partnering with a large global education technology organisation operating across 100+ countries, generating more than £600m in annual revenue and engaging with over 2.5 million users globally. The organisation is undertaking a major technology and data transformation, bringing its digital products onto a single global platform, supported by a shared data model, common taxonomy and canonical customer and learner records. We are looking for an experienced Senior Data Modeller / Data Analyst to help define the enterprise-wide data structures underpinning this transformation. Core responsibilities: Working closely with the Chief Data & Technical Architect, you will: Develop enterprise conceptual and logical data models Define canonical / golden customer and learner records Establish shared taxonomies, business glossaries and data definitions Analyse complex data across multiple legacy and modern platforms Perform source-to-target mapping and identify data quality issues Define data models supporting APIs, integrations and event-driven architectures Work closely with Data Engineering, Architecture and Product teams Facilitate workshops to establish consistent enterprise-wide data definitions Maintain data models, mappings and governance artefacts throughout the programme Essential skill set: Experience of working within Education Technology or Global SaaS corporations is a must have Strong enterprise conceptual and logical data modelling experience Experience across complex, multi-system environments Strong knowledge of MDM, canonical/golden records and taxonomy management Excellent SQL and data analysis capabilities Experience with recognised data modelling tools Understanding of APIs, integration patterns and event-driven architecture Strong stakeholder management and workshop facilitation skills Knowledge of graph / knowledge-graph modelling would be advantageous This is an opportunity to play a key role in a major global transformation, defining the enterprise data model and standards that will underpin a new generation of digital products used by millions of people worldwide

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Working in Tech, Product or Data at Sky is about building the next and the new.

The level of data, transactions and variety it involves.

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