Mathematics jobs in United Kingdom

Prospero Teaching is working with a great school who is looking to recruit either an NQT or experienced Teacher of Mathematics.

Maths Supply Teachers Needed - Experience RequiredFlexible Work | Competitive Rates | Secondary Schools in Walton-On-Thames/Staines Are you a skilled and enthusiastic Maths Teacher looking for flexible, rewarding work in the Walton-On-Thames/Staines area? We're seeking passionate individuals to join our team of Maths Supply Teachers, supporting a variety of welcoming and diverse secondary schools. Whether your expertise lies in algebra, geometry, statistics, or calculus, we want to hear from you! Maths Supply Teachers Needed - Experience Required Enjoy the freedom of supply teaching while inspiring students to develop their confidence in Mathematics. With no planning or marking responsibilities, you can focus entirely on delivering engaging lessons and supporting pupils in achieving their potential. Why Choose Supply Teaching? • Flexible working-choose the days that suit you, • Competitive daily pay rates, • Experience a range of schools and teaching environments, • Ideal for experienced teachers seeking variety or returning to the classroom, • No after-hours workload-more time for you Maths Supply Teachers Needed - Experience Required If you're confident, adaptable, and ready to teach engaging Maths lessons across Key Stages 3 and 4 (KS5 a bonus), this is the perfect opportunity. Requirements: • Strong classroom teaching experience in Mathematics, • Excellent subject knowledge, • Enhanced DBS (or willingness to obtain one) Apply today and take control of your teaching career-on your terms. For more information or to discuss the role further, please contact Louis Denison-Foster at Academics Ltd (Guildford) -

This role sits within a global, technology-driven investment firm running systematic and quantitative strategies across financial markets. The firm builds its own trading, research, and data platforms in-house. As a Quant Developer, the role bridges quantitative research and engineering. You’ll work closely with researchers to turn ideas and models into robust, scalable software used in research and live trading. This includes building tools and workflows for data analysis, backtesting, and production trading systems, as well as owning and supporting critical components throughout their lifecycle. What they’re looking for • Degree in computer science, engineering, mathematics, physics, or similar, • 2+ years’ experience with Python, C++, or kdb+/q, • Understanding of financial data, storage, and analysis, • Experience with modern software development practices, • Strong technical communication skills Nice to have • Strong quantitative skills, • Experience designing software solutions and workflows, • Exposure to CI, monitoring, and databases

Quant Developer – Python / AWS - Full-time A quantitative trading firm is seeking a Quant Developer to join its engineering team. The role sits within the development function and works closely with the CTO, researchers, and trading teams to build and maintain the systems that support live trading strategies. The position focuses on developing production services, improving platform reliability, and helping move quantitative research into robust, scalable trading infrastructure. The Role The successful candidate will take ownership of a number of backend services that support the trading platform. This includes developing new functionality, maintaining existing systems, and improving operational tooling across the production environment. You will work closely with quantitative researchers and traders to translate research ideas into production-ready systems while ensuring services are stable, observable, and safe to operate. Key Responsibilities • Develop and maintain backend services that support research and trading workflows, • Take ownership of specific platform components, ensuring they are reliable, monitored, and well maintained, • Build and extend APIs and internal tooling used to move research models into production systems, • Improve testing, deployment processes, and release safety across the engineering environment, • Work with researchers and traders to translate technical requirements into production-grade implementations, • Contribute to monitoring, alerting, and operational tooling used to manage live systems, • Investigate and resolve production issues while improving system resilience and reliability, • Participate in post-incident reviews and help implement improvements to prevent future failures, • Work across the stack when required, including backend services, cloud infrastructure, and development tooling Required Experience • Strong software engineering experience building and maintaining production systems, • Strong Python development skills, • Experience working with cloud platforms, particularly AWS, • Experience developing backend services or distributed systems, • Ability to work with complex existing codebases and improve reliability and performance, • Strong debugging and problem-solving skills, • Experience collaborating with technical stakeholders such as researchers or data scientists Desirable Experience • Experience with languages such as C++, C#, Rust, or JavaScript, • Experience building microservices or distributed systems, • Linux experience including debugging services and working with system logs, • Exposure to trading systems, market data, or systematic trading environments, • Experience with monitoring or observability platforms, • Experience with CI/CD pipelines, containerisation, or infrastructure automation, • SQL experience for analysing datasets and troubleshooting production issues Education Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline Candidate must be comfortable working remote (UK - London only) and comfortable travelling to the US every few months.

Job Title : Data Modeler - P&C Insurance Location : London , UK Mode : Hybrid Role Summary: As a business modeling focused data modeler, your role involves creating and maintaining various levels of data models that align with Sub domain/Super Domain goals. You will closely work with the sub domain owners and sub domain Data product managers to understand business goals, value hypothesis, and use cases to help build Data products that are well supported by effective and efficient data models. In this role you will be responsible to closely collaborate with other personas in the domain driven architecture/operating model to drive the growth of your business domains. Qualifications: • Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field., • Minimum of 8+ years of experience in data modeling in the property and casualty insurance industry., • Proficiency in SQL, data modeling tools and languages such as Python and UML., • Strong analytical thinking is essential for creating efficient and scalable data models that meet business needs., • Proven experience as a Data Modeler preferably in the property and casualty insurance industry. Familiarity with property and casualty insurance industry data, systems, and processes. Ability to understand business needs, revenue drivers and stakeholder requirements., • Take ownership of the product’s success and advocate for its value., • Experience with Agile methodologies and data modeling tools., • Familiarity with data modeling concepts and database technologies., • Excellent communication and leadership skills, with the ability to bridge the gap between technical teams and business stakeholders., • Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment Key Responsibilities: • Business Analysis and strategic planning: Analyse business use cases to understand the goal and value hypothesis that the domain owners are driving towards, • Model Design and Build: Create data models that will support the data product vision of the Data product manager. Develop conceptual models representing the sub/super domain business model. Ensure the conceptual model is created with Meta Model/Ontology and/or Knowledge Graph utilization. Develop logical and physical data models to meet the Data product requirements through the means of business use cases and the KPIs. During the Physical data modeling process of the data product, ensure all the various output requirements are fully satisfied. E.g. – SQL endpoints, Dashboard/Reports and API consumption., • Data Mapping and Quality: Ensure the data catalog activities for the data product are carried out. Help the domain data analysts to complete the source to target mapping, data quality rule setup for the target data model’s critical data elements (CDE)., • Database Optimization: Optimize Cloud databases such as Delta Lake or One Lake for efficiency, scalability, and faster access using techniques like indexing and partitioning., • Data Governance: Work with Federated Governance guild to define global policies that define and govern data modeling practices, design standards, best practices across the data marketplace., • Collaboration: Work closely with data engineers, analysts, and other teams to implement and maintain effective data models.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models. The Opportunity This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (Acquired by Pfizer), Areteia Therapeutics, and Corsera Health—we're building the future of population health. As an AI Engineer, you'll be core to designing and developing patient facing agentic AI systems. You'll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You'll build voice based intake workflows, patient engagement systems, clinician-facing tooling and more. Responsibilities • Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications, • Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness, • Design experiments and rigorously evaluate model performance across accuracy, latency, safety, and user experience metrics, • Partner closely with Clinical, Product, and Engineering teams to translate clinical requirements into robust AI solutions, • Communicate technical approaches and findings to both technical and non-technical stakeholders through clear documentation and presentations What we offer • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to shape a breakthrough healthcare AI solution, • Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum qualifications • 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome), • BS or MS in Computer Science, Machine Learning, Mathematics, or a related quantitative discipline, • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks), • Experience with agent orchestration frameworks (e.g., LangGraph), • Strong software engineering fundamentals such as writing clean code, version control, testing, • Excellent communication skills and comfort working in fast-paced, cross-functional teams Preferred qualifications • Experience building voice AI or conversational AI systems, • Experience with patient-facing systems, • Familiarity with cloud infrastructure (GCP, AWS, or Azure), • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique position within the PHP ecosystem provides: • Venture Track Record: A proven track record of success in incubating innovative biotech and healthcare companies, • Deep Capital: Funding runway and resourcing to support deep technological/scientific R&D and to drive growth, • Strategic Guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific leaders at Oxford University Ellison Institute of Technology), • Expert Network: Established connections across pharma, payers, and providers, • Startup Agility: Ownership in the venture, founder mentality, and ground-floor impact PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera (NASDAQ: MTSR), Areteia Therapeutics, and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare.

AI Engineer Location: London (Onsite - 5 days per week) Type: Permanent Salary: £200,000 + generous equity package Interview Process: 2-4 stages I'm hiring for two YC-backed startups building foundational AI infrastructure - one focused on advancing reasoning capabilities, the other on streamlining how teams deploy and monitor models in production. What we're looking for: • Strong academic background in Computer Science, Mathematics, or related field, • Founding engineer mindset with ownership mentality, • Series A-C scale-up experience (ideally in fast-growth environments) Role 1: AI Engineer • Expert-level Python with exposure to frontend technologies (TypeScript/React preferred), • Hands-on experience with LLMs, prompt engineering, and evaluation frameworks, • Ability to ship AI-powered features end-to-end, • Minimum 3 years of experience Role 2: Applied AI Engineer • Strong backend engineering experience (Python preferred), • Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows, • Experience building RAG pipelines and AI agent orchestration systems, • Minimum 5 years of experience 📩 Interested? Message me here or email

About SaxeCap: SaxeCap is the premier AI transformation and investment platform in private equity. We pioneered the concept of buying out traditional businesses and transforming them with AI in 2018, and today we are the go-to AI transformation partner for 60+ PE firms globally, including 9 of the 10 largest by AUM as well as the world’s leading sovereign wealth funds. We've transformed 140+ businesses across healthcare services, business services, financial services, software, consumer, and more, driving billions of dollars of enterprise value expansion along the way. We operate at the intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, IIT, GSB, HBS, and Wharton. We were early investors in OpenAI, Anthropic, Groq, SpaceX, Neuralink, Mercor, Lambda Labs, etc. But what makes our team exceptional isn't where they came from or what they've invested in, it's what they ship. We are builders. About the Role: We are hiring a Vice President, AI Strategy & Deployment to join our AI transformation team and build our presence in the UK and EU. This is not a traditional consulting or investment role. You will own the full lifecycle of AI-driven value creation across our PE partner portfolio, from first engagement with a sponsor, through deep technical and strategic analysis, to managing our engineers and data scientists as they build and deploy solutions that move EBITDA. You will operate across a range of workstreams simultaneously: evaluating AI opportunities for PE sponsors under deal timelines, designing comprehensive transformation roadmaps for portfolio companies, managing technical teams through production AI deployments, supporting investment underwriting for SaxeCap's own PE vehicle, and leading business development with new partners. The common thread: you are the person who connects AI's technical potential to measurable business value, and you own the outcome end to end. About You: You are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures, and you obsess over shipped outcomes rather than theoretical potential. Specifically: • 5 to 10 years of experience spanning two or more of: private equity, AI/ML product management, strategy consulting (MBB or comparable preferred), investment banking, or engineering, • You have managed teams of 5+ people (engineers, data scientists, consultants, or analysts) and held them accountable to ambitious timelines, • You have managed executive and C-suite stakeholder relationships, ideally in a PE or PE-adjacent context, • You have real AI/ML fluency: you can discuss model architectures, data pipelines, and build-vs-buy trade-offs with technical teams, not just at a buzzword level. Hands-on experience with Python, SQL, and data science tools is expected. Experience shipping ML products, managing RLHF programs, or building GenAI solutions is a strong differentiator., • You have experience quantifying enterprise value and EBITDA impact of technology or transformation initiatives; not just tracking KPIs, but tying technical outcomes to P&L, • You have product management instincts: understanding user pain points, scoping technical solutions, and managing the build through deployment, • You have operated in fast-paced, ambiguous environments where the scope, stakeholders, and approach shift rapidly, and you thrive in that context rather than resist it, • Bachelor's and/or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field from a top-tier institution What Sets the Best Candidates Apart: The people who excel at SaxeCap share a specific profile. They are not pure technologists and not pure dealmakers, they are the rare operators who can do both. The strongest signals we look for: • Shipped AI, not just studied it. You have built or managed the build of AI/ML solutions that went to production and drove measurable business outcomes. "Led AI strategy" without specifics doesn't move the needle. "Shipped an ML model that reduced X by Y%, managing a team of Z engineers" does., • PE-grade rigor under time pressure. You can form accurate conviction on an AI opportunity from limited information and present that conviction to a PE partner with confidence. If you've worked on a live deal, you know what this feels like., • Builder DNA. You don't just recommend, you build. Side projects, open-source contributions, 0-to-1 products, or intrapreneurial ventures all signal the instinct we're looking for., • Structured synthesis at scale. You can process massive amounts of qualitative and quantitative information and distill it into a prioritized plan that senior executives can act on. This is the hardest skill to find and the one we value most. Compensation & Growth: SaxeCap offers highly competitive compensation, and you will work directly with our senior leadership from day one, with significant client exposure and rapid professional development. The team is lean by design, there are no layers between you and impact.

Trading Desk Operations Engineer - Summer 2026 start Our client is a top tier global proprietary trading firm that blends advanced technology, quantitative rigour and deep market expertise. It is a place where sharp thinkers thrive. You will work alongside highly capable, intellectually driven people who enjoy hard problems, value precision and are keen to share what they know. This environment suits graduates who have excelled academically and want to apply their intelligence in a fast, practical and technical setting. As a Trading Desk Operations Engineer you sit directly within the trading and research group. You support live trading, improve operational workflows and help turn ideas into reliable tools and systems. You will work closely with traders, researchers and engineers, gaining direct exposure to how strategies are built, tested and executed. Day to day you may validate trade flows, automate processes, troubleshoot issues under pressure, analyse unexpected system behaviour and build quick tools that improve speed and accuracy. You will need to think clearly, act decisively and enjoy solving complex technical problems in real time. This position is well suited to graduates with a strong foundation in mathematics, engineering or computer science and a genuine appetite for analytical work. You must have: • STEM degree from a top ranked university with exceptional academic results, • A level Maths at grade A or equivalent, • Excellent logical reasoning and problem solving ability, • Strong attention to detail and consistency, • Interest in programming with basic proficiency in at least one language (Python, C++, Go, Scala, Ruby, Lua, VBA or similar), • Curiosity about trading, technology and how complex systems behave under pressure This opportunity is ideal for someone who wants a front-row view of how modern trading actually works. You will learn quickly, work with outstanding people and develop a rare combination of technical, analytical and operational skills that will set you up for a high-impact career.

Quant Analyst A London based investment firm is looking to hire a Quant Analyst to join a team working directly alongside traders and quantitative researchers. This role focuses on data analysis, signal development, and building tools that support live trading strategies. While the desk specialises in credit markets, the team is open to candidates with experience across other asset classes. Responsibilities • Analyse large datasets to identify patterns and trading signals, • Develop quantitative tools and models used by the trading desk, • Work closely with PMs and researchers to improve the investment process, • Support research and implementation of trading strategies, • Contribute to the development of data infrastructure and analytical tooling Requirements • Experience in a quantitative role within financial markets, • Strong background in data analysis and modelling, • Degree in Mathematics, Statistics, Physics, Engineering, or similar quantitative field, • Programming experience with tools commonly used in quantitative analysis, • Ability to collaborate closely with traders and researchers, • Candidates should already be based in London This role offers the opportunity to work very close to the trading process, with direct exposure to investment decisions. 📩 Process note: If you don't hear back within 3 days, your application was unfortunately not successful.

🚀 Lead Data Scientist, Computer Vision 📍 London, UK (Hybrid) | 🕒 Full-time Help reinvent how the world discovers fashion. We’re building a new era in fashion discovery — one that ignites body confidence in everybody and every body. Imagine Shazam meets Spotify, but for fashion. Our community is tired of endless scrolling, paid ads and dead-end links. They want fashion that actually fits: in stock, in their size, and at the best price. We're creating a search experience that puts people at the centre of discovery. As a female-founded fashion-tech startup, we're at an exciting stage — shaping something genuinely game-changing. Now we’re looking for an exceptional Lead Data Scientist (Computer Vision) to help build the intelligence at the heart of our platform. 🔍 The Role This is a hands-on technical leadership role responsible for architecting and building the computer vision engine powering the platform’s discovery experience. You’ll design, implement and productionise state-of-the-art models across image understanding, embeddings, object detection and emerging agentic AI systems. You’ll work closely with the founders, product and engineering teams to shape the long-term AI and data strategy, making pragmatic technical decisions in a fast-moving startup environment. ⚠️ This role is 90% hands-on engineering. It is not a pure management role or a research-only position. 🧠 What You’ll Do Hands-on Computer Vision Leadership • Design, build and deploy production computer vision and agentic AI systems powering search, recommendations and personalisation, • Own the full data science lifecycle: problem framing → modelling → deployment → monitoring → iteration, • Translate messy real-world user problems into testable ML solutions, • Partner closely with Product to ensure models improve user trust, confidence and discovery, • Work hands-on with imperfect datasets, • Design annotation strategies, data quality frameworks and evaluation pipelines, • Establish pragmatic MLOps practices (deployment, monitoring, iteration), • Build scalable but lightweight ML pipelines in AWS alongside engineering, • Set the technical bar for data science, • Mentor future data scientists as the team grows, • Bring curiosity, humility and ownership to a high-ambiguity startup environment ✅ What We’re Looking For • Bachelor’s or Master’s in Computer Science, Mathematics or related field, • Strong computer vision expertise and experience fine-tuning state-of-the-art models, • Deep learning experience (e.g. PyTorch, CUDA, model optimisation for training and inference), • Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring), • Solid understanding of data engineering, data quality and annotation strategies, • Comfortable working in fast-paced startup environments, • A simplicity-first mindset — only introduce complexity when it’s needed, • Excellent communication skills across technical and non-technical audiences 🌟 Why Join? • Build the core AI engine of a breakthrough fashion discovery platform, • Work directly with founders on product and technical strategy, • Join a mission-driven, female-founded startup at a defining growth stage, • Shape a product designed to make fashion discovery more inclusive, empowering and intelligent 💌 Interested? We’d love to hear from exceptional builders who want to shape the future of fashion discovery. Apply via LinkedIn or reach out directly.

Senior Data Scientists Hybrid working pattern Who we are • Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung., • Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. As a Senior Data Scientist in our London office, your role will encompass: • Designing and implementing advanced data science and machine learning solutions to solve complex business problems., • Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees., • Supervising and mentoring team members on code, deployment, and best practices. Necessary education and experience • Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field., • Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders., • Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference., • ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines., • Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces., • Advanced Education: A Master's degree or PhD in a relevant field is a strong plus., • Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray., • Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.

Quant Developer - Equities Location: London or Dubai Permanent Our client are a market leading hedge fund, with a global reach in relation to their clients and offices. They are on the lookout for a talented Quant Developer with exceptional skills in python programming, and solid experience on equities focused projects Responsibilities for an Equity Derivatives Quant: • Core Trading Engine Development: Build, maintain, and enhance the core trading engine to support optimal performance., • Systematic Trade Automations: Create and implement automated trading systems to improve efficiency and drive results., • Collaborative Innovation: Partner with traders, researchers, and developers to understand needs and deliver tailored solutions. Requirements for an Equity Derivatives Quant: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field, • Extensive knowledge surrounding equities asset class, • At least 2 years experience within the financial services industry, • Hands on experience with object orientated programming, using Python, • Strong communication skills and confidence in working within a collaborative team environment. To hear more details please apply to this position or contact Ben Mortimore at Anson McCade. Job Reference: AMC/BMO/QD01

About Yes.com Yes.com is an AI-native online gambling startup launching in Denmark with expansion planned across Europe and other regions. We operate on an established platform and are building a new player experience across sportsbook and casino. We don't believe in the traditional Product Manager model for managed platform operators. Instead, we're building a data-driven and AI-powered operations layer where a Configuration Manager, supported by automated intelligence and analytics, delivers broader coverage and faster decisions than any traditional PM team. The Role You will be the single operational owner of product configuration across all third party systems and our backoffices. You'll work alongside data, automation and AI tools that analyse competitor data, monitor game/event performance, and generate scheduled and on-demand recommendations — your job is to review, approve, and execute. This is not a traditional Product Manager role. You won't own a product roadmap, design features, or manage stakeholders. You'll operate complex back-office systems, make data-driven configuration decisions, and keep our sportsbook, casino, and live casino commercially competitive in the Danish market. What You'll Do Sportsbook • Configure sport/league/event selection and sorting for the Danish market, • Tune margin parameters using our sportsbook third party system, • Set and monitor risk parameters (liability limits, stake limits, bet acceptance rules), • Configure cash out, bet builder, and combo rules, • Act on data recommendations for margin adjustments and event curation Casino • Activate and manage game suppliers and individual games, • Build and maintain the casino lobby structure (categories, game ordering, tags), • Configure per-game settings (RTP, max bet, fun mode, bonus deduction), • Manage hybrid (third-party + in-house) personalisation engine — set defaults, define overrides, run A/B tests, • Triage new game releases weekly based on data recommendations Live Casino • Configure live casino suppliers (Evolution, Pragmatic Play Live, etc.), • Manage table types, lobby positioning, and schedule-aware promotion Bonuses (BonusEngine) • Configure bonus mechanics (free bets, deposit bonuses, free spins, cashback) based on CRM team briefs, • Set wagering requirements and eligibility rules within regulatory guardrails Frontend (incl. CMS) • Manage featured content, promotional pages, sport navigation, • Coordinate with marketing and CRM teams on content publishing AI-Assisted Operations • Review daily, weekly and on-demand competitive intelligence reports, • Act on real-time alerts (liability breaches, performance anomalies, competitor moves), • Execute approved items from the weekly playbook, • Provide feedback to improve recommendation quality over time What We're Looking For Must Have • Technically confident — you can navigate complex back-office systems without hand-holding, • Data-literate — you understand KPIs like GGR, RTP, margin, turnover, and can read performance reports, • Detail-oriented — configuration errors have direct financial impact, • Self-directed — you'll work with automation and AI tools semi-autonomously, escalating only when needed, • Comfortable with ambiguity — this is a new role in a startup; processes will evolve, • Fluent English Strong Plus • Prior iGaming operations experience (sportsbook trading, casino operations, back-office management), • Experience with B2B platforms, • Familiarity with AI tools (Claude, ChatGPT, automation platforms), • Understanding of gambling markets, • Experience with CMS platforms Not Required • Product management experience — this is explicitly not a PM role, • Deep domain expertise in odds compilation or game mathematics — the platform and AI handle this How You'll Work • AI-assisted workflow: You'll work alongside AI tools that monitor competitors, analyse performance data, and generate prioritised recommendations. Your job is to review, validate, and execute — not to do the analysis manually., • Autonomy within guardrails: Full autonomy for game activation/deactivation and lobby changes within compliance rules. Supplier-level decisions and margin strategy changes require sign-off from leadership., • Async collaboration: You'll coordinate with marketing, CRM, analytics, and compliance teams primarily through chat. No unnecessary meetings., • Note: Exact operational cadences and workflows will be defined together once you're onboarded and the AI automation layer is in place. You'll have a say in shaping how this role operates. Who You'll Work With • Leadership — commercial decisions, strategic direction, • Technology — AI tooling, system access, platform integrations, • Analytics — performance analysis, KPI definition, data deep-dives, • Marketing — competitive intelligence, content strategy, promotional calendar, • CRM — bonus strategy, campaign execution coordination, • Legal & Compliance — regulatory guardrails, market-specific requirements Compensation • Competitive compensation package, • Health insurance, • Paid learning and growth opportunities Interview Process • CV screen + AI literacy assessment — Can you interpret data and follow structured recommendations?, • Systems aptitude test — Navigate a demo back-office, make configuration changes based on a brief, • Scenario exercise — Given competitor data and performance reports, what changes would you recommend?, • Culture fit — Conversation with Co-CEO and CTO Why This Role Is Different Most iGaming companies manually review a fraction of their game catalogue, check competitors when they remember to, and make gut-feel decisions about lobby positioning. We're building something different. Our systems monitor every competitor daily, analyse every game in our catalogue, and generate data-driven recommendations with full rationale. Then we execute. If you're the kind of person who'd rather work with intelligent tools than do repetitive manual work, this is the role.

Maths Graduate Teaching Assistant - Secondary School - Finchley - September 2026 Start - Full-Time Are you a Maths graduate with ambitions to become a teacher? Looking to gain invaluable classroom experience ahead of teacher training from September? Tradewind Recruitment is working with a welcoming and high-achieving secondary school in Finchley seeking a Maths Graduate Teaching Assistant to join their team from September 2026 on a full-time, long-term basis. This is an ideal opportunity for an aspiring teacher to build confidence, develop classroom skills, and gain hands-on experience in a supportive environment. Maths Graduate Teaching Assistant - Role Overview As a Maths Graduate TA, you will play a key role in supporting students across KS3 and KS4, helping to raise attainment and confidence in mathematics. Your responsibilities will include: • Supporting students in Maths lessons on a 1:1 and small group basis, • Assisting the class teacher with lesson delivery and classroom management, • Breaking down complex mathematical concepts into clear, engaging explanations, • Delivering targeted interventions for students who need additional support, • Stretching and challenging high-achieving students, • Supporting with lesson preparation and resource creation, • Monitoring progress and providing feedback to teaching staff, • Promoting positive behaviour and engagement in lessonsRequirements, • A degree in Mathematics or a related subject (Essential), • A strong desire to pursue a career in teaching, • Excellent subject knowledge and confidence in Maths, • Strong communication and interpersonal skills, • A proactive, enthusiastic, and resilient approach, • Experience working with young people (desirable but not essential), • Enhanced DBS on the Update Service (or willingness to apply)What's on Offer, • A supportive and high-performing secondary school in Finchley, • Full-time role: Monday to Friday, term-time only, • The perfect stepping stone into teacher training, • Ongoing training, mentoring, and professional development, • Opportunity to gain school-based experience ahead of a PGCE or SCITT For more information, please contact Elizabeth Topley by emailing or calling (option 3).

Maths Teacher (KS3 & KS4) - South West LondonCompany: Aspire People LimitedAspire People is seeking a passionate and skilled Maths Teacher to join a forward-thinking secondary school in South West London. Degree in Mathematics or a related subject. Experience teaching Maths at KS3 & KS4.

Maths Specialist Learning Support Assistant - Full-Time (5 Days per Week)Location: Croydon | Secondary School | Immediate / Upcoming Start We are currently seeking a dedicated and knowledgeable Maths Specialist Learning Support Assistant (LSA) to join a welcoming and supportive secondary school in Croydon on a full-time, five days per week basis. This is an excellent opportunity for someone with a strong background in mathematics who is passionate about supporting students and helping them build confidence and success in the subject. The Role As a Maths Specialist LSA, you will work closely with the Maths department and classroom teachers to support students in lessons, provide targeted academic assistance, and help learners overcome barriers to understanding mathematics. You will support both small groups and individual students, contributing to a positive and productive learning environment. Key Responsibilities * Provide in-class support during Maths lessons across Key Stages 3 and 4 (and potentially Key Stage 5) * Deliver small group and one-to-one support to students who require additional help in mathematics * Assist teachers in preparing resources and reinforcing lesson content * Help students build confidence, problem-solving skills, and engagement in maths * Monitor student progress and provide feedback to teaching staff The Ideal Candidate * Previous experience working as a Learning Support Assistant, Teaching Assistant, Tutor, or similar role in a secondary school * Strong knowledge of mathematics and confidence supporting the subject at secondary level * A degree in Mathematics or a related subject is preferred * Excellent communication and interpersonal skills * Patient, supportive, and passionate about helping young people succeed * Ability to work collaboratively with teachers and support staff What the School Offers * A warm, welcoming, and well-resourced school environment * Supportive leadership and a collaborative Maths department * Opportunities for professional development, growth, and progression within education * A chance to make a meaningful impact on students' academic development This role is ideal for graduates considering a future in teaching, experienced LSAs with a maths background, or education professionals who enjoy working closely with students to unlock their potential. If you have the subject knowledge, experience, and enthusiasm to support students in mathematics, we would love to hear from you. #INDLSS

Maths ECT - Enfield Secondary School (Permanent Role) Location: Enfield, North London Start Date: September 2026 Contract: Permanent, Full-Time Salary: MPS (Outer London) Are you a passionate and motivated Early Career Teacher (ECT) of Maths ready to begin your teaching career this September? A supportive and well-regarded secondary school in Enfield is seeking a dedicated Maths ECT to join their team on a permanent basis. This is an excellent opportunity to start your teaching career in a school that prioritises professional development, staff wellbeing, and high-quality teaching. The Role: Teaching Mathematics across KS3 and KS4 (KS5 opportunities may be available) Planning and delivering engaging, well-structured lessons Assessing, monitoring, and supporting student progress Creating a positive and inclusive classroom environment Contributing to the wider life of the Maths department and school community ECT Support & Development: A comprehensive and structured ECT induction programme Dedicated mentor and regular coaching sessions Reduced timetable in line with ECT framework Ongoing CPD and career progression opportunities Supportive leadership team committed to staff development The Ideal Candidate: Holds (or is on track to achieve) QTS by September 2026 A strong academic background in Mathematics or a related subject A genuine passion for teaching and learning Excellent communication and organisational skills A reflective and proactive approach to professional development What the School Offers: A welcoming and inclusive school environment Strong departmental support and collaborative planning Excellent behaviour and a focus on high standards Opportunities for long-term career progression Easily accessible location with good transport links This role is ideal for an enthusiastic Maths ECT looking to begin their career in a school that will invest in their development and set them up for long-term success. How to Apply: Please submit your CV to James @ Academics apply.

Pricing Services and Risk Viewer UI Developer We are seeking a highly skilled Pricing Services and Risk Viewer UI Developer to join our dynamic team. This senior software development position requires excellent C# and TypeScript/React skills, a strong knowledge of pricing models, quant libraries and risk analytics for both vanilla and exotic FX derivatives. The successful candidate will collaborate closely with business analysts, traders, and software engineers to ensure seamless integration into real-time trading platforms. Key Responsibilities: • Design and implement pricing and risk analytics tools for FX cash trades and options, including exotic and structured products., • Integrate and support the optimization of quantitative models in collaboration with quants and traders., • Maintain and enhance low-latency infrastructure for real-time risk and PnL calculations., • Conduct back-testing and performance analysis of models and trading strategies., • Provide technical guidance and support across the trading floor on model behavior and system performance., • Liaise with technology and infrastructure teams to ensure robust deployment and monitoring of analytic tools., • Enhance the FX Options Risk Viewer UI in collaboration with traders and other IT team members., • substantial experience in software development., • Highly experienced in C#, TypeScript/React, and Quant Library integration., • Solid understanding of mathematics as applied to derivatives risk and pricing., • Excellent written and verbal communication skills in English., • Experience working with traders, quants, and risk managers in an investment-banking environment., • Comply with all applicable legal, regulatory, and internal Compliance requirements., • Maintain appropriate knowledge to ensure full qualification to undertake the role. To apply for the Pricing Services and Risk Viewer UI Developer position, please submit your CV and cover letter detailing your relevant experience and qualifications. Highlight your experience in software development, particularly in C# and TypeScript/React, and your understanding of FX derivatives trading, risk, and pricing.

Highways Inspector Salary: £40-45k Canning Town - and surrounding areas Hours: 7am - 3:30pm Must have a drivers license Join Our Team as a Highways Inspector! Are you passionate about ensuring the safety of our highways? Do you thrive in a dynamic environment where your expertise can make a real difference? We are looking for a dedicated Highways Inspector to join our team at a leading organisation committed to maintaining and improving our road networks! About Us We are a forward-thinking organisation focused on building safe and efficient infrastructure while fostering a collaborative and inclusive workplace. Job Purpose As a Highways Inspector, you will play a crucial role in ensuring that our roads adhere to the Highways Act 1980, keeping our highway network safe and accessible for all users. Key Tasks and Responsibilities In this exciting role, you will: • Conduct routine and ad-hoc inspections in your designated geographical area., • Identify defects that pose risks to highway users and devise effective solutions., • utilise mobile devices to record inspections and manage works through our asset management system., • Oversee inspections of both internal and third-party works, ensuring compliance with safety specifications., • Support the Deputy Roads Manager in submitting permits and reviewing traffic management plans., • Supervise works during both day and night shifts, ensuring adherence to health and safety protocols., • Engage with the public to address complaints, conduct investigations, and represent the authority in court if necessary., • Assist with emergency management and provide vital support during the winter season., • Take responsibility for a vehicle, ensuring professional and courteous use at all times. Key Working Relationships • Collaborate with Roads team members, internal workforce, and subcontractors., • Work closely with Operations Administrators, Project Management Officers, and the HR & Commercial teams. Person Specification Essential Qualifications: • City & Guilds LANTRA Safety Highways Inspector, • GCSE grade C or equivalent in English and Mathematics Experience: • Minimum of 1 year in highway maintenance, • Experience in conducting safety inspections is advantageous. Knowledge and Skills: • Strong understanding of highway safety inspections and relevant legislation., • Excellent organisational skills, with the ability to prioritise and adapt to changing demands., • Effective communication skills, both written and verbal. What We Offer: • A supportive and inclusive work environment where your contributions are valued., • Opportunities for professional development and career advancement., • A chance to be part of a team dedicated to improving public safety and infrastructure. Ready to Make a Difference? If you are enthusiastic about road safety and possess the necessary qualifications and experience, we would love to hear from you! Apply now and take the next step in your career as a Highways Inspector. Together, let's create safer roads for everyone! Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.

Whether you're an Early Career Teacher (ECT) or an experienced Mathematics Teacher , this is your chance to thrive in a dynamic environment and make a lasting impact on students' success. Join our High-Achieving Maths Department - Exciting Opportunity for ECT & experienced Mathematics Teacher!.

AI / Data Analyst Salary: Up to £60,000 Location: London (Hybrid) Travel: Occasional international travel (UK, Europe, US) About the Role Our client is a global technology group operating at the intersection of engineering, science, and digital innovation. They are investing heavily in AI, data, and connected technologies to transform both their products and operations. This is a hands-on, early-career role designed for a technically curious graduate who wants to build real-world experience in data science, AI, and digital product development. You will sit within a central digital team supporting multiple business units on AI and data-driven initiatives. This is not a finance-driven analytics role. The focus is on scientific, engineering, and operational data, including time-series and image data, with exposure to machine learning experimentation and modern AI tooling, including GenAI. What You’ll Be Doing Data Preparation and Engineering • Collect, clean, and validate data from sensors, internal systems, APIs, and files., • Build structured, reproducible datasets for analysis and modelling., • Perform exploratory data analysis to identify trends, anomalies, and patterns., • Support development and testing of machine learning pipelines., • Work with time-series, tabular, and image datasets., • Assist with experimentation, model comparison, and evaluation., • Build dashboards, charts, and reports using Python or BI tools., • Assess AI tools and platforms, documenting strengths, limitations, and risks., • Maintain clear documentation and reproducible workflows., • Support responsible AI practices and data governance standards. Ideal Background Essential • Degree in a scientific or technical discipline such as Physics, Chemistry, Biology, Engineering, Mathematics, or Data Science., • If from a Computer Science background, proven exposure to scientific or experimental data., • Working knowledge of Python (pandas, NumPy)., • Understanding of core machine learning concepts., • Strong analytical thinking and attention to detail., • Experience with time-series or image data (academic or project-based)., • Exposure to machine learning workflows or experimentation., • Experience with data visualisation tools., • Familiarity with Git., • A graduate or early-career candidate within 0–2 years., • Strong scientific or engineering mindset, not finance-focused., • Highly organised with strong documentation habits., • Logical thinker who uses AI tools appropriately, not blindly., • Work across a wide range of AI, IoT, and digital product initiatives., • Exposure to modern AI tooling and real-world applications., • International project exposure across Europe and the US., • Hybrid model combining London office, remote work, and travel., • Project-based international travel required. Who This Role Suits Someone early in their career who wants to apply data and AI in real-world scientific and engineering contexts, rather than sitting in a purely reporting or finance-driven analytics role.

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are a exceptional research engineers and scientists taking a novel approach to accurate database reasoning. About the role This is a founding research engineer role, with the opportunity to set the research agenda and shape the architecture from day one. • Drive foundational research and engineering for reasoning over complex tabular data, • Design, implement, and iterate on new encoders (including graph transformers) for complex heterogeneous data, • Develop creative and impactful self-supervised learning objectives and translate them into production-ready systems, • Scale novel foundation models across huge datasets, • Build, optimize, and maintain scalable training and evaluation pipelines, • Fine-tune foundation model embeddings into high-value downstream tasks, • Work hands-on across the full stack, from research ideas to deployed systems, • Guide and mentor an exceptional team of research engineers Required experience • Proven ability to lead or significantly contribute to teams tackling hard research-engineering problems, • MSc / PhD in Mathematics, Physics, Computer Science, or a related field, • Strong hands-on experience building, training, and scaling foundation models with modern ML tooling (PyTorch, Ray, JAX), • Strong background in graph neural networks and transformer architectures, • Demonstrated ability to turn research ideas into robust, scalable implementations, • Comfortable owning whatever needs doing, from research prototypes to infrastructure, • Experience optimizing large-scale training runs on GPU clusters Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will push the frontier of foundation models for an under-explored, massively valuable domain., • Team: We are a small, collaborative, world-class research team based in central London., • Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team, you will receive meaningful ownership alongside a salary that allows you to focus on building something great., • Direction: Chance to shape the direction of a new class of foundation model from day one. Culture • At Native, we look for people with exceptional research and engineering ability, who want to win., • Everyone loves building and is ambitious enough to want to change how the world operates for the better., • We run towards hard problems., • We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that., • If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

Are you a quantitative specialist looking to take ownership of high-impact financial models? We are seeking a Senior Financial Modeller to lead the development and maintenance of our core credit risk frameworks. This is a pivotal role where you will bridge the gap between complex data science and financial reporting within a fast-paced, evolving bank. The Role As a lead specialist, you will be the primary architect of the models underpinning our IFRS 9 Expected Credit Loss (ECL) framework. You will work closely with the Head of Financial Modelling to ensure our suite of models—covering everything from credit risk to fair value measurement—remains robust, compliant, and insightful. Key Responsibilities: • Model Leadership: Lead the development, validation, and enhancement of IFRS 9 ECL components, including PD, EAD, LGD, and SICR., • Governance & Monitoring: Own the monthly monitoring cycle and present findings to the Model Governance, Credit Risk, and Board Audit Committees., • Broad Financial Modelling: Support the wider bank with models for effective interest rate (EIR) calculations, hedge effectiveness, and fair value measurement., • Strategic Risk Projects: Contribute to the build-out of Wholesale portfolio models and support critical regulatory projects including ICAAP and financial planning., • Stakeholder Collaboration: Act as a technical bridge between the Finance and Risk departments, translating complex data into actionable insights for internal and external stakeholders. Your Profile You are a highly analytical professional with a deep interest in credit risk and a proven track record of building sophisticated financial instruments. • Experience: 5+ years of relevant experience in financial modelling, specifically within mortgages or financial instruments., • Technical Mastery: High proficiency in Python and SQL for handling large datasets and executing statistical modeling., • Regulatory Knowledge: Detailed understanding of IFRS 9 regulatory frameworks and the full life cycle of financial instruments., • Education: A degree in a highly numerate field (Mathematics, Physics, Economics, Finance, or similar)., • Communication: The ability to explain complex quantitative concepts to non-technical committees and senior leadership. Please apply if you are interested in a confidential conversation about this opportunity. Unfortunately we are not able to provide visa sponsorship.

About the Company A leading real estate investment platform with over €30bn in assets under management and a presence across multiple European markets - the firm invests across real estate equity, credit and venture capital strategies. Widely recognised for its value add approach, the business has recently raised one of the largest real estate funds in Europe and the platform is entering an exciting phase of growth and deployment. The UK Real Estate Investment team plays a central role in executing the firm’s strategy locally — partnering with best-in-class operators, identifying compelling opportunities and delivering strong risk-adjusted returns through disciplined underwriting and active asset management. About the Role An opportunity has arisen for an experienced Fund Analyst to join the UK Real Estate Investment team based in London. The role offers exposure across the full investment lifecycle, from modelling and underwriting acquisitions through to portfolio analysis and investor reporting. The successful candidate will work closely with senior investment professionals and gain hands-on experience in transactions, fund-level analysis and the integration of data and AI technology within investment processes. The position would suit an intellectually curious, commercially minded analyst looking to build a long-term career in real estate private equity. An active interest in the application of AI in investment management is a strong preference. Responsibilities • Build, own and maintain detailed financial underwriting models for new acquisitions, including scenario and sensitivity analysis., • Support transaction execution, including due diligence and preparation of high-quality investment committee materials., • Maintain pipeline tracking tools, investment documentation and reporting frameworks., • Analyse asset-level financial performance against underwriting assumptions and identify key value drivers., • Contribute to quarterly and annual investor reporting, including fund and asset performance commentary., • Assist with fund-level modelling, including debt structures and promote calculations., • Support debt financing and refinancing processes, including leverage and capital structure analysis., • Contribute to the development and implementation of technology, automation and AI-driven workflows within the team. Qualifications • Degree in Finance, Economics, Mathematics, Accounting or related discipline preferred., • CFA, ACA / ACCA (qualified or studying) would be advantageous., • Experience in real estate, investment banking, private equity, fund management, consulting or a similar analytical environment is advantageous. Required Skills • Strong financial modelling and analytical skills, with advanced Excel capability., • Experience in fund-level modelling, underwriting, portfolio analytics, or performance reporting., • Excellent numerical ability and written communication skills., • High attention to detail with a proactive, collaborative approach., • Interest in digital tools, automation and emerging AI technologies, with the confidence to experiment and improve team processes., • Experience with digital tools such as Excel, Power BI or similar analytics platforms is beneficial., • Comfort analysing data using technology, and an interest in developing light touch workflows or automations., • Exposure to Living sectors (e.g. Build-to-Rent, PRS, PBSA, hotels) or Industrial assets would be an advantage but is not essential. Preferred Skills • Experience in real estate, investment banking, private equity, fund management, consulting or a similar analytical environment is advantageous.

Credit Risk Analyst – Python & SQL – London We are seeking a Credit Risk Analyst to join our dynamic team in London. You will leverage Python and SQL to analyse credit data, build risk models, and deliver actionable insights while ensuring compliance with relevant regulations. Key Responsibilities: • Analyze credit portfolios and assess risk exposure., • Develop and maintain risk models using Python and SQL., • Generate reports and dashboards to communicate findings to stakeholders., • Ensure credit risk activities comply with regulatory requirements., • Collaborate with business teams to support data-driven decision-making.Requirements:, • Strong experience with Python and SQL., • Solid understanding of credit risk frameworks and regulatory requirements., • Previous experience working with financial regulations (e.g., Basel III, IFRS 9)., • Excellent analytical and problem-solving skills.

Property Investment Consultant – London - Up to £35,000 DOE + commissions (OTE £80,000) Are you an experienced property investment consultant or hungry property salesperson looking to make some serious commissions in property investment? We have a fantastic opportunity for an experienced property investment professional to join a growing, multi discipline property group. With an exciting year ahead, this role is ideal for someone who is looking to join a business who will challenge you, challenge the norm, and challenge themselves constantly. With a close-knit team of ambitious individuals, the director’s ethos is very much centered around customer service and ensuring their reputation proceeds them along with the development and wellbeing of the team. What’s in it for you • Basic salary up to £35k DOE, • Realistic Year 1 OTE £65k - £80k, • Uncapped Commission, • Extra day off for your birthday, • Mental health initiatives, • Employee discounts – wellness and high street vouchers, • Gym membership, • Company trips and events, • Company pension, • 22 days annual leave plus bank holidays What you will be doing • Building relationships with investors and homebuyers selling to a rapidly growing database, • Progressing and closing sales, • Selling of luxury, new build apartments to investors, • Passionate about securing clients, the right investment property for their needs and you should take pride in your service being second to none What you will have • Previous experience of working in the property investment/buy-to-let market is preferred, • Experienced sales background with a proven track record, • Highly target driven with the ability to produce results, • Good understanding of the mathematics of property investment (yields, interest cover, LTV etc), • Excellent negotiation skills and understanding of basic legal contracts and sales agreements This is a fantastic opportunity to work for a growing property investment company and work in an environment where progression and pay rises are in your hands!

M&E Account Manager Prestigious Commercial Building £75-80k Salary Central London Healthcare Pension Our customer are one of the leading property & real estate organisations globally, with a number of high profile buildings under management and across a range of sectors including financial services & corporate, healthcare, managing agent and heritage among others. Due to an internal promotion at a long held account in Central London (Zone 1) they currently seek an account manager to take charge of M&E delivery across planned & reactive maintenance for a corporate HQ building, as well as driving projects and extra works. Guideline salary for this position is circa £75-80k basic as well as associated benefits including healthcare, pension scheme, etc. Candidates must be fully qualified in an engineering discipline (mechanical, electrical), ideally through a recognised apprenticeship, and have at least five years demonstrable experience as a contract or account manager within M&E maintenance on the service provider side. Experience with similarly high-profile or demanding client accounts is essential, while experience within listed / heritage assets is ideal. Particular duties will extend to: • Contract management of the staff, operation and maintenance of all electrical and mechanical plants/services, project works and Building performance, • Daily management of the Engineering team including compliance, disciplinary processes and procedures., • Direct, instruct and manage all staff under their control as well as SSP’s ensuring compliance with working practices., • Complete the weekly operations report to the client and attend weekly operations meeting, client meetings as requested, in conjunction with the client., • Conduct regular reviews of operating procedures making recommendations for improvement with appropriate working practices and emergency/contingency procedures within the critical systems., • Liaise and keep informed both the client and line manager on all aspects of contract problems (defects & deficiencies)., • Ensure that all staff within their control are conversant with the operation and control of critical and noncritical systems installed within the portfolio., • Ensure quality is maintained throughout the facilities., • Ensuring business policies and processes are effectively communicated, and implemented within the contract., • Ensure optimum staffing structures operate across contracts, balancing cost reduction with the delivery of service excellence., • Working with other Operations Managers to ensure the collaborative development of the business, effective team working, and support to colleagues., • Development of contract financial plans for revenue and profit delivery, reduction of WIP, debt, cost reduction and contract growth, and ensure that these are met and exceeded., • Ensure appropriate control systems to ensure statutory, policy and contractual commitments are met., • Ensuring a customer focus within all areas of operational activities, and that effective relationships are maintained with key client contacts., • Provision of leadership and guidance, advice, coaching and direct support, where required to deliver best practice selection, training, assessment and recognition/reward., • Delivering effective business communication through advice, review, leadership and direct contribution to management and team meetings, briefings, consultation forums, correspondence, publicity, monthly and ad-hoc reporting and other publications, as appropriate., • Provide a learning environment, and appropriate training and development planning. Ensure basic training needs are delivered, employees are fully competent to undertake their roles, and are able to reach their full future potential. Experience Required • Experience in Facilities Management industry, • Must have progressed from an "on the tools" mechanical / electrical engineering role, • Strong communication skills. Ability to lead, motivate and direct a team of technicians/operatives., • Possess an understanding of Health and Safety issues, NEBOSH / IOSH, or equivalent formal training would be desirable., • Conversant with Microsoft Office (Word, Excel, Outlook, PowerPoint)., • A good level of English and Mathematics required., • Strong organisational and communication skills with the ability to prioritise workloads., • Ability to work under pressure whilst remaining calm, clear thinking and able to deliver the required services to the client within given time constraints. This is a fantastic opportunity to work on a prestigious account for a corporate HQ, well served by public transport links into a main-line rail station. As such it will suit an ambitious and enthusiastic account manager with a technical background, keen to further their career with an industry leader.

🚀 Senior Quant Developer (OTC) | London We’re partnering with a global institutional liquidity provider at the forefront of digital assets and traditional finance. This is a rare opportunity to join a high-performing OTC pricing team, working at the intersection of quantitative research and production engineering, building systems that directly impact pricing, liquidity, and trading strategies across global markets. 💡 The Role As a Senior Quant Developer, you’ll operate as a true hybrid between Quant Research and Engineering — designing models and owning their production implementation. You’ll work across a dual-language stack: • Python for research, modelling, and data analysis, • Java for building high-performance, distributed pricing systems This role is deeply embedded in the trading lifecycle, with direct impact on: • Client pricing optimisation, • Flow analysis, • Automated hedging strategies ⚙️ What You’ll Be Doing • Design and implement quantitative pricing and hedging models within a high-performance Java framework, • Partner closely with Quant Researchers to develop alpha signals and pricing logic, • Work with large-scale datasets to optimise spreads and pricing strategies, • Build and deploy systems across multi-region, distributed architectures, • Develop automated hedging algorithms balancing execution risk and liquidity, • Analyse client flow and toxicity to improve pricing performance 🧠 What We’re Looking For • Strong experience in Java (5+ years) — high-performance, distributed systems, • Advanced Python skills (NumPy, Pandas, SciPy) for quantitative modelling, • Experience applying numerical optimisation or machine learning to trading/pricing problems, • Background in algorithmic trading, client pricing, or liquid markets (FX, equities, ETFs, or crypto), • Strong academic foundation in Mathematics, Physics, or Quant Finance ➕ Nice to Have • Experience with KDB+/Q, • Exposure to AWS, Docker, Kubernetes, • Understanding of low-latency systems, • Knowledge of derivatives pricing and risk (futures, forwards, CFDs, NDFs) 🌍 Why Join • Work on production-critical systems used globally, 24/7, • Direct influence on pricing, trading, and revenue-driving systems, • Join a team bridging traditional finance and digital assets, • Highly collaborative environment with strong quant + engineering alignment, • Competitive salary + bi-annual bonus structure If you’re a Quant Developer who enjoys building as much as modelling, and want to work on real-world trading systems at scale — this is one to explore.

Job Summary: Manage the International Reinsurance Catastrophe Modelling team in the pricing and accumulation monitoring of catastrophe exposures. Remit of role is global excluding Americas & Caribbean Job Details: • Manage catastrophe pricing for reinsurance in Zug and Singapore, covering Europe and Asia Pacific, • Oversight of the Probable Maximum Loss process for International Reinsurance, including the following – (i) Monthly roll-up for modelled perils (ii) Derivation of non-modelled perils (iii) Completion of reconciliation process quarterly to meet Audit requirements, • Undertake and review validation of external catastrophe models in key peril-regions within scope of role, including presentation of results to Chief Reinsurance Actuary and company management, • Manage completion of catastrophe modelling elements for regulatory returns. This will include fulfilling FINMA (Swiss regulator) requirements as required by Swiss OpCo, likewise for MAS (Singaporean regulator) in respect of Singapore branch and Lloyd's for Singapore service company, • Catastrophe event reporting – ensure the production of accurate and timely information in respect of natural catastrophe events in Europe and Asia Pacific. Communication of results to underwriting and senior management, • Modelling process – collaborate with other senior leaders of the Catastrophe Modelling group to ensure best practice as regards installation and optimisation of vendor software. Research and recommend ways in which process can be improved through in-house development or software acquisition, • Support the Chief Reinsurance Actuary as a member of the Catastrophe Modelling Management Team on matters and initiatives relating to catastrophe business eg climate change, exposure management, validation policy, selection / renewal of models, determination of peril-regions to validate Person Specification • 10+ years’ experience of treaty reinsurance in the field of catastrophe modelling and risk management, • Established expertise with RI products (particularly Property)., • Strong technical skills in mathematics, computer science, economics, engineering, physical science, or related field, • Strong communication skills required and comfortable working within an underwriting team sharing views on risk, strategy and market trends., • In-depth working experience in the use of vendor catastrophe modelling software (Verisk, RMS)., • Knowledge in use of SQL for performing queries on large exposure datasets., • Strong analytical and problem-solving skills., • Ability to multitask, work independently to deadlines and solve problems. Must be highly organized, accurate and detail oriented.

We are working with a growing consumer finance fintech platform, who are looking to build out their Data and Analytics department. The team, who have recently received backing from a global Investment firm are now building out a Data and Analytics team in London - with a focus on supporting their Unsecured NPL Portfolio Investment team. This role is ideal for a technically strong, quantitatively minded professional with a background in statistics and data science, looking to apply their skills in financial services. While specific NPL experience is not required, a passion for large-scale data analysis and modern analytics frameworks is essential. You will work in a neo-bank/fintech-style environment, using cutting-edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: • Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios., • Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives into robust analytical solutions., • Build software using modern technology to enable investing and asset management at scale., • Apply Bayesian modelling and probabilistic programming techniques to address uncertainty and improve prediction accuracy., • Analyse large-scale datasets to identify key drivers, trends, and early warning signals within NPL portfolios., • Clearly communicate model results, insights, and recommendations to stakeholders, including both technical and non-technical audiences., • Stay current with advances in statistical modelling, machine learning, and data science, continuously evaluating and integrating new techniques and tools. Requirements: • University degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics, Economics); advanced degree preferred., • Strong expertise in statistical modelling, Bayesian inference, and machine learning., • Proficient in Python (using libraries such as NumPy, pandas, scikit-learn, PyMC or Stan), • Experienced in SQL. Ability to write efficient and robust queries., • Demonstrated experience working with large and complex datasets., • Ability to communicate complex analytical concepts clearly and effectively to a range of audiences., • Experience with model governance, documentation, and deployment best practices., • Experience with cloud environments (e.g., AWS Sagemaker)., • Experience with collaborative development tools (e.g., Git, JIRA) is a plus., • Prior experience in financial services, banking, or credit risk modelling is beneficial., • 5-8 years experience in a Data/Analytics role, ideally within a Financial Institution Why This Role • Opportunity to build an analytics function from the ground up in a cutting-edge, entrepreneurial environment., • Work with massive datasets and modern tools at the forefront of fintech innovation., • High-impact role directly contributing to investment and portfolio decision-making.

Quantitative Developer - LNG - London THE ROLE We are seeking a highly skilled and motivated Quantitative Engineer with a focus on Commodities Trading, and ideally LNG .You will be part of a small but growing team where you will work directly with the business on complex technology trading problems. You will collaborate with Analysts, Traders and Software Engineers cross-functionally. KEY RESPONSIBILITIES • Work closely with the trading desks (traders, originators, structurers and analysts) to acquire in-depth business knowledge, identify their challenges, and capture specific needs., • Design and build scalable, high-performance end-to-end applications and implement quantitative models for structuring deal evaluations, trading, risk management and portfolio optimization., • Calibrate models to market data, including curves, volatilities, and correlations; perform back-testing, stress testing, and monitor model performance., • Implement robust applications to replace Excel-based processes where applicable, to enhance reliability, reduce operational complexity and minimise operational risk., • Contribute to the development of the shared quantitative platform designed to support all trading desks., • Utilise cutting-edge technologies, such as cloud computing, to drive improvements in efficiency and productivity for the trading desk., • Take ownership of the delivery and maintenance of high-quality code and provide prompt, effective support to resolve issues as they arise. Qualifications and Requirements: • Degree educated in either Computer Science, Mathematics, Statistics, Financial Engineering, or a related quantitative field., • Strong programming skills and advanced proficiency in Python., • Strong understanding of probability theory and derivative option pricing., • Experience with front-end frameworks such as Angular or React, and understanding of database management, including SQL or NoSQL systems., • Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and cloud computing platforms., • Intellectual curiosity and willingness to learn new models and physical commodity markets., • Excellent problem-solving skills and a strong attention to detail., • Strong stakeholder communication skills., • Prior experience in commodities trading is beneficial but not required.

Prestigious West end-based Asset Manager seek an OTC Derivatives Middle Office Manager You can be a proven Middle Office/Operations Manager with OTC derivatives experience, or a Senior Operations Analyst/SME ready to step into their first lead supervisory role with some previous experience supervising work flows and BAU processes ESSENTIAL EXPERIECNE REQUIRED You must have the following experience to be considered for this role • Full UK working rights – non sponsored role – UK experience, • Bachelor’s degree in Finance, Economics, Accounting, Mathematics, • 7+ years previous investment operations experience in a preferably Asset Manager or Hedge Fund environment, • Experience in OTC Derivatives, Equities (Including corporate actions), Unit Trusts, ETF’s, FX and trade lifecycles., • General Operations Trade support experience including Transfer Agency exposure, custody market openings, tax reclaims, EMIR Reporting, NAV reconciliations, Proxy Voting, new fund set ups., • Management experience – Preferred, • Knowledge of Broadridge portfolio management system- Preferred, • Proven proficiency in python and SQL. – Preferred KEY RESPONSIBILITIES • Oversight and management of operations team (four people), primarily focusing on OTC business., • Working closely with Project Lead in delivering operational projects enhancements and fixes., • Assisting with operational daily tasks as required., • Managing trade flow efficiency, data reconciliation, Nav calculations, • Identifying, contributing, implementing technological improvements to the control environment., • Assisting with rebate, commission and distribution fee calculations and payments

We are seeking a highly skilled and motivated Quantitative Strategist to join our front-office team. This role is central to building, maintaining, and enhancing models and applications that drive trading, risk management, and portfolio construction across the firm’s global Rates business. You will work directly with portfolio managers, traders, and risk managers to deliver innovative quantitative solutions in a fast-paced, high-impact environment. Responsibilities • Develop and enhance pricing, risk, and relative value models for rates products, including government bonds, swaps, futures, swaptions, and inflation-linked products., • Build scalable risk platforms and analytics libraries to support intraday and end-of-day trading and risk management., • Collaborate with portfolio managers and traders to design and implement quantitative trading strategies and risk views., • Partner with technology teams to integrate models into production systems, ensuring robust, low-latency, and scalable implementations., • Conduct research and prototyping for curve construction, scenario analysis, VaR, PCA decomposition, and other advanced risk metrics., • Leverage Python, C++, and/or Java for model development, prototyping, and data analysis; use SQL and kdb+/q for large-scale market and trade data handling., • Develop dashboards and visualization tools for portfolio and risk monitoring, ensuring transparency of exposures and P&L attribution., • Advanced degree (Master’s/PhD) in Quantitative Finance, Mathematics, Computer Science, Physics, Engineering, or a related discipline., • Experience as a Quant, Strat, or Risk Developer in Rates at a top hedge fund, bank, or trading firm., • Deep understanding of fixed income and derivatives products, including yield curve modeling, risk factors, and pricing frameworks., • Strong programming skills in Python and at least one other language (C++ or Java)., • Experience with large-scale data platforms (SQL, kdb+/q, or similar)., • Ability to communicate complex quantitative concepts clearly to both technical and non-technical stakeholders., • Familiarity with market data sources (Bloomberg, Refinitiv, etc.) and data APIs., • Experience in building risk platforms or contributing to cross-asset risk infrastructure., • Prior exposure to machine learning methods applied to fixed income or macro trading strategies.

The successful candidate will have a strong understanding of Murex, APIs, and financial markets. The Murex Business Analyst will be responsible for analyzing business requirements, designing solutions, and implementing changes to our Murex platform using APIs. Post-Graduate degree in statistics, finance, mathematics, engineering (technology) or other quantitative or computational discipline. Risk certifications desirable. Job Duties- Platform: FO Pre Trade Pricing tool (Counterparty Risk Metrics Analysis) application produces xVA, PFE and EEPE measurements for across trading platforms in a leading European bank. The platform is used across banks Risk, Trading and Finance departments. You will be part of the pricing division where you will be in charge of the evolution and maintenance of this pricing library. The job duties would involve: • Analyze business requirements sitting with front office trader and design solutions, write BRDs, FRDs, Developing requirements and performing associated Impact Analysis, • Translating the requirements into a solution on the global MUREX platform by performing detailed Analysis & Design, Configuration and Testing/Migration tasks, • Performing gap analysis on existing functionality to facilitate transition from Legacy onto the MUREX platform, • Testing of the functionality and numbers Skills Required- • Have in-depth financial market product knowledge: FX & Treasury related products., • Experience in Front-to-Finance integration and migration solutions, • Experience in a Project driven environment, • Understand the Front-to-Finance life cycle of products though the various departments of the bank (Front Office, MRM, Back Office and Finance), • Able to analyse data from Legacy systems and translate this into a functional specification with the goal to migrate these trades, • Experience in a Change Management environment of Murex, • Have in-depth financial market product knowledge: FX Derivatives, • Broad knowledge of MUREX 3.1, especially the following modules, • Market data setup (RTBS configuration), • Murex general configuration, • Murex data model, • Murex GOM, • Contract workflow (pricing & closing), • Murex Simulations/FDI, • Pre-Trade Formulae, • FX/MM and FXO, • Murex pricing (curve configuration, P&L, Vol, etc.), • Murex Exchange (MXML), • Murex Limits Connector (MLC), • Request for Quotation (RFQ), • Datamart, MRM Reports, • E-Tradepad, • Settlements, • SQL (Sybase) , Unix , Shell Scripting

Job Description: Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field., • Strong mathematical reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: Pay rate: $50+/hour (depends on role and candidate expertise) Assessment: Shortlisted experts complete an evaluation before selection. Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Job Description: Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field., • Strong mathematical reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: Pay rate: $50+/hour (depends on role and candidate expertise) Assessment: Shortlisted experts complete an evaluation before selection. Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Managers at CFGI work closely with senior management of FTSE 100, mid-cap, and start-up companies. CFGI Managers lead project teams and interact with clients and their Big 4 auditors on all aspects of engagements, including report writing and developing and managing client relationships. Take ownership of your career at CFGI: · Gain exposure to a wide range of industries and/or projects · Make a true business impact with your clients · Own projects from start to finish · Experience client interaction and thrive in a client-facing role · Be consistently challenged and learn through a collegial environment created from top tier experts hired within the firm · Enjoy a flexibility working environment - office/remote/client site (engagement specific) · Create your own path · Enjoy what you do! As part of the CFGI Valuation Practice your job will be to help clients in navigating through various complex debt and equity transactions in a multifaceted business environment. We advise a multitude of public companies and private enterprises operating in a variety of industries on a wide range of valuation considerations related to financial and tax reporting. Our Valuation Services professionals work on a wide range of services including valuation of business enterprises, complex debt and equity instruments, and intangible assets for mergers and acquisitions, divestitures, IPOs, dispute resolution, financial reporting, and tax purposes. Work you’ll do · Financial reporting valuations for business combinations (purchase price allocations), including enterprise valuation and intangible assets, inventory, deferred revenue, contingent consideration, debt and equity components analyses · Valuation of goodwill and asset impairment testing for financial reporting purposes · Valuation of complex derivatives and debt instruments for financial reporting purposes · Valuation for tax purposes, including local, international and personal tax, as well as services related to a client's allocation of purchase price for tax purposes only · Advising clients on corporate actions, strategic investment decisions, or other financial objectives Qualifications you’ll need · 5+ years of UK big 4 experience performing valuation analyses for financial reporting purposes is required · In-depth understanding of general valuation approaches · Experience in valuation of complex debt and equity instruments is strongly preferred · Strong excel modelling skills · Exceptional writing skills in preparation of valuation reports, exhibits, memos, and other client deliverables/communication · Strong analytical and problem-solving skills, as well as team building, interpersonal and communication skills · Bachelor's degree in mathematics, finance, economics, accounting, or business · ACA (or equivalent) and/or CFA qualified preferred We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Associate or Senior Associate – Building Physics London About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, an electric vehicle salary sacrifice scheme, stock options, and 25 days of annual leave (increasing with service), alongside flexible and hybrid working. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. About the role We’re hiring an Associate/Senior Associate to join our building‑physics team working on CFD, data‑centre thermal performance and whole‑building energy modelling. You will lead and deliver modelling studies, translate results into practical design and operational guidance, and help grow our technical capabilities and reproducible workflows across the team We are looking for an experienced, client‑facing engineer with hands‑on CFD and data‑centre modelling experience plus a strong grounding in building physics (heat transfer, ventilation/HVAC optimization, dispersion and wind‑microclimate analysis, and dynamic thermal modelling). You should be comfortable setting technical standards, leading projects, mentoring colleagues, and communicating results to clients and project teams. If you meet many of the criteria but not every bullet, we encourage you to apply. It's an exciting time to join our Building Physics team. Working alongside a range of specialist engineers and consultants, you will be joining a collaborative, knowledgeable, highly engaged team who love what they do, and offer a supportive, flexible, and high performing work culture. In this key and varied role, you can expect to: • Lead data‑hall CFD studies (rack‑ and room‑scale): containment and airflow strategies (hot/cold aisles, perforated‑tile & raised‑floor flows, fan walls, in‑row/rear‑door cooling, liquid‑cooling), transient resilience/time‑to‑critical analyses, hotspot mitigation, and assessment of re‑entrainment risks from plant equipment (generators, chillers)., • Oversee production CFD across sectors (Residential, Science & Research, Workplace): set meshing and solver standards, enforce convergence and QA/QC practices, and recommend higher‑fidelity approaches (e.g., LES) where justified., • Evaluate HVAC and ventilation strategies: model ventilation effectiveness and control strategies to improve thermal comfort, air distribution and energy performance., • Execute dispersion and wind‑microclimate studies: contaminant transport and tracer‑gas approaches, pedestrian wind comfort/safety assessments (Lawson criteria, City of London guidance), and interaction with site plant., • Integrate local CFD findings into whole‑building energy model., • Build and maintain automation and parametric workflows (Python; Rhino + Grasshopper/Ladybug/Honeybee), creating reusable components and batch‑run pipelines for scenario studies., • Define and implement model validation and uncertainty approaches: calibration, sensitivity analysis and reporting., • Provide technical leadership: review deliverables, mentor junior staff, support proposals and client presentations, and ensure projects are delivered on scope, schedule and budget., • A collaborative mindset, with the self-awareness and openness to work effectively within multi-disciplinary teams., • Support timely invoicing, debt chasing, management of WIP and forward workload/resource planning for your own projects., • Mentor and support our ‘next gen’ professionals including apprentices and graduates. About you To be successful in this role you’ll need: • BSc or MSc in Mechanical Engineering, Building Science, Thermal/Fluid Engineering, Physics, Mathematics, CFD or similar (or equivalent practical experience)., • Demonstrable CFD experience; data‑centre project experience is highly desirable., • Hands‑on experience with two or more CFD platforms (e.g., ANSYS Fluent/CFX, OpenFOAM, Star‑CCM+, Cadence DC) and meshing tools., • Practical experience in data‑centre thermal modelling (rack/room CFD, containment, transient resilience analyses)., • Experience into energy modelling tools like IES‑VE, TAS, EnergyPlus / OpenStudio)., • Automation skills: Python for scripting and data work; Rhino + Grasshopper and Ladybug/Honeybee for parametric workflows., • Strong communication and client‑facing skills; experience writing technical proposals and presenting to clients., • Ability to create clean, watertight geometry in Rhino, SpaceClaim or similar., • Commercial awareness and accountability, • A commitment to supporting the development of others Desirable: • Roles in data centre consulting and close collaboration with MEP teams., • Experience with LES and transient high‑fidelity studies for targeted investigations., • Familiarity with 1D flow network modelling for liquid‑cooling strategies., • Exposure to wind‑tunnel validation for CFD (boundary‑layer reproduction, instrumentation data processing, and CFD‑to‑experiment comparison)., • Professional registration (CIBSE or equivalent) or progressing toward registration. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange an introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. We aim to provide feedback at each stage of the process. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, ___ Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list. #LI-HYBRID

A leading UK travel insurance specialist is expanding their pricing team. As a Technical Pricing Analyst, you'll play a pivotal role in shaping how they price their products across direct sales and comparison platforms. You'll work alongside commercial, underwriting, and product teams to deliver pricing strategies that balance competitiveness with profitability. What You'll Be Doing: • Design and implement pricing frameworks for travel insurance products across multiple distribution channels, ensuring alignment with commercial objectives, • Build, test, and refine predictive models to optimise product performance and customer outcomes, • Conduct deep-dive analysis on market dynamics, customer behaviour, and competitor positioning to inform strategic decisions, • Partner with cross-functional teams to automate pricing workflows and drive continuous improvement initiatives Qualifications: • A numerate degree (Mathematics, Economics, Statistics, or similar) with 1+ years' experience in pricing, analytics, or data science, • Strong technical capability in analytical programming languages and modern pricing platforms, • A commercially-minded problem solver who can translate complex data into clear business recommendations

About Us: Our Vison is to be admired for our craft, experience, and sustainability. Desired by our customers and loved by our people. Today Moss is more than a menswear brand, we are ‘Styling individuals for moments that matter’. We’re not just for men on their big day – we’re for everyone, all the time. Whether they need to hire a one-off outfit, elevate their daily wardrobe, or create a custom piece, we’re by their side with over 170 years of tailoring know-how and considered clothing made for life as we all live it now. Our shared values encourage us to Trust our colleagues to think Creatively and plan for the sustained growth and development of Moss. For us this is about working Collaboratively and using Agility to achieve success, whilst leaving a positive impact. Embracing our core values and behavioural competencies strengthens relationships with our customers and colleagues. Purpose of the Role: In the Buyer Admin Assistant role, your main job is to provide comprehensive administrative support to the Buying Team, assisting in the management of the buying process from start to finish, and ensuring the timely delivery of merchandise. You will collaborate with suppliers, vendors, marketing, merchandising, and Ecommerce teams. Your tasks will include managing calendars, scheduling, raising SKUs, tracking purchase orders, managing inventory levels, coordinating sample management, conducting market research, analysing sales data, and supporting trade meeting preparations. Key Responsibilities: • Provide comprehensive administrative support to the Buying Team, streamlining day-to-day operations through effective management of calendars, scheduling, and travel arrangements, alongside maintaining key planning tools and processes., • Assist in the buying process from start to finish, including raising SKUs, creating and tracking purchase orders, managing inventory levels, and ensuring the timely update of web descriptions and compositions., • Coordinate sample management, prepare for fit sessions, and liaise with suppliers, ECOM, and Marketing to manage supplier critical paths and ensure timely delivery of samples and merchandise., • Conduct market research and analyse sales data to identify new product opportunities, trends, and inform buying decisions, contributing to the preparation of trend boards and coordinating best sellers for trade meetings., • Manage product samples efficiently, keeping the sample room organized and tracking the critical path to ensure departmental efficiency and smooth operations across internal departments., • Support the presentation and preparation for trade meetings on an ad hoc basis, demonstrating speed and accuracy in task completion, flexible and organized work approach, and effective communication skills., • Maintain a keen awareness of key trends and themes in the Menswear formal and casual sector, ensuring accurate management of SKU and PO processes and contributing to the department's smooth running. What You'll Need to Succeed: Technical: • Proficient in Microsoft Office Suite, particularly in Excel and PowerPoint., • Basic knowledge of mathematics., • Experience with or understanding of an ordering system. About You: • Exceptional organisational, communication, and detail-oriented skills with a proactive approach to multitasking and pressure situations., • Consistently embodies Moss's core values and behavioural competencies in daily responsibilities and interactions. REWARDS & BENEFITS: • Employee Discount: 70% discount across all our stores., • Season Ticket Loan: Financial support for commuting., • Cycle to Work Scheme: Encouraging eco-friendly travel., • Discounted Gym Membership with PureGym: Promoting physical health and fitness., • Life Insurance: Providing peace of mind for colleagues., • Ongoing Development: Tailored to suit your career ambitions from day one., • Access to Moss Learning: An online learning platform for skill enhancement., • Employee Hub: Easy access on the go to colleague benefits, recognition, wellbeing, and company updates., • New Baby Gift: Celebrating important personal milestones of colleagues. If you want to know more about MOSS, our people and our culture, search #LifeatMoss or TailorYourCareer on LinkedIn

Role Overview This position would ideally suit a Broker who is looking to transition into Underwriter role or an Underwriter looking to further their career and knowledge. As a Space Assistant Underwriter, you will be at the heart of our underwriting operations, supporting senior underwriters in making strategic, technical, data-driven decisions. From risk evaluation to policy administration, you’ll play a pivotal role in shaping profitable underwriting outcomes while ensuring seamless execution. This is an excellent opportunity to join a London based MGA and be part of one of the World’s largest underwriting intermediaries with ambition to profitably grow the existing Space portfolio. Key Responsibilities • Underwriting Support: Assist in evaluating new and renewal Space risks in line with company guidelines, ensuring a balanced portfolio., • Data-Driven Decision-Making: Analyse client submissions, review technical assessments, assess loss history and contribute to pricing discussions., • Risk Assessment & Compliance: Ensure all underwriting decisions align with underwriting authorities, data management restrictions and regulatory requirements., • Portfolio Management: Assist in analysing the performance of our Space book, identifying trends, and recommending corrective actions if needed., • Technical Execution: Accurately enter Space risks into Nexus / Occam record management and accounting systems, ensuring precise data for reporting and analysis., • Reporting & Analytics: Prepare underwriting reports on cover-holder agreements, helping underwriters assess portfolio performance., • Broker & Client Engagement: Coordinate with brokers and clients to obtain additional underwriting information, clarify policy terms, and ensure smooth placements., • Operational Efficiency: Assist in policy construction, issuance, endorsements, declarations, and premium calculations with a focus on accuracy and timeliness., • Market Awareness: Conduct research on market trends, pricing strategies, and competitor activities to support business development initiatives., • Regular Bordereaux production and reporting, • Monthly / Quarterly reports to carriers Key Requirements • Experience: 3-5 years in Space Insurance., • Education: A university degree with a finance, mathematics, or business focus is preferred. A CII qualification or equivalent is a plus., • Technical Skills: Strong numerical proficiency with experience in MS Excel for underwriting analysis and reporting., • Soft Skills:, • Sharp analytical mindset – you can spot underwriting patterns and assess risks effectively., • Strong communication and negotiation skills – you’re comfortable interacting with brokers and clients., • Meticulous attention to detail – ensuring underwriting precision in every transaction.

This is an excellent opportunity for an experienced operational risk professional who enjoys working in a collaborative banking environment while maintaining independence within the risk control framework. My client, a well-established international bank in London, is looking to appoint an Operational Risk Lead to join its Legal & Compliance function. This is a key role responsible for ensuring the effective implementation and oversight of the bank’s Operational Risk Management Framework (ORMF) across the organisation. Reporting to the Head of Compliance, the successful candidate will act as a subject matter expert in operational risk, working closely with business and support functions to identify, assess and mitigate operational risks. The role requires strong stakeholder engagement, regulatory awareness and the ability to independently drive operational risk initiatives across the bank. Job Title BANKING-Operational Risk Lead-Mandarin Speaking Location City of London Work style: 100% office based Salary: 78000 Annual Languages: Fluent Mandarin and English Length: 6 Month MAYBE Extend Key Responsibilities • Oversee and ensure the effective implementation of the Operational Risk Management Framework (ORMF) across the bank., • Lead and maintain the Risk Control Self-Assessment (RCSA) process to identify, measure and monitor operational risks., • Develop and maintain the bank’s Key Risk Indicator (KRI) reporting framework and ensure effective risk monitoring., • Analyse, document and report operational risk events, ensuring appropriate escalation and follow up actions., • Provide guidance and challenge to business units and support functions regarding operational risk management and mitigation strategies., • Support the development and enhancement of operational risk policies, procedures and risk infrastructure., • Facilitate operational risk scenario analysis and risk assessments across the organisation., • Prepare reports and presentations for senior management, including Risk Committee and Operational Risk forums., • Deliver training across the organisation on operational risk frameworks, including RCSA, KRI and risk event reporting., • Work closely with internal stakeholders to improve operational processes and strengthen risk controls. Requirements • Strong experience in Operational Risk Management within the banking sector, ideally in a commercial banking or treasury environment., • Solid knowledge of operational risk frameworks, including RCSA, KRI reporting, risk event analysis and operational resilience., • Good understanding of the UK regulatory environment relating to operational risk., • Experience interacting with senior stakeholders and risk committees, with strong communication and reporting skills., • Ability to work independently as a subject matter expert while collaborating effectively with wider teams., • Familiarity with a broad range of wholesale banking or treasury products and their operational processes., • Strong analytical and problem-solving skills with the ability to influence and drive change., • Degree level education in finance, accounting, mathematics or a related discipline, and/or relevant professional qualifications., • Fluency in both Mandarin and English is highly desirable due to regular reporting to international stakeholders.

TEACHER OF MATHEMATICS - KEY STAGE 3 - KEY STAGE 5.

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Main purpose of the role: The Commodities trading desk at Commerzbank is looking for a highly motivated individual with a strong level of intellectual curiosity to join their Base metals trading desk. As a base metals trader your task will be to further develop the market making business. Your daily tasks will be to structure, price, trade and manage positions on Base metals derivatives and LME warrants in order to exploit and develop the bank's core client franchise in a risk controlled, capital efficient and cost effective manner. Key activities: • Effectively market make, manage risk and keep senior staff informed of current risk positions, be up to date with the rules and regulations of the base metals markets and exchanges., • Work with the Head of Commodity trading to implement the most optimal trading strategies on base metals assets., • Interact with OTC/listed brokers to make sure the best execution is always performed., • Build and maintain strong relationship with Trading counterparties., • Monitor current market levels and competitor pricing, mark the trading books and make available such market data across the Commodity platform, reconcile and ensure accuracy of Risk and Profit & Loss figures on a daily basis., • Keep trading books within all required risk limits., • Develop technical, market, product and technological expertise in a fashion consistent with the strategic aims of the business., • Act as subject matter expert on base metals in the bank and represent the business with all internal stakeholders., • Coordinate with Support units to set up any new trading instruments in the various trading systems., • Work with the operations team to enable them to handle the settlement and delivery of the various financial and physical instruments., • Actively promote the base metals franchise with Sales teams. Provide accurate and timely prices on their requests and provide regular trade ideas and market comments., • Assist in the further automation and digitisation of the base metals business, coordinate projects, monitor performance against objectives., • Typical instruments traded include spot, futures, forwards, swaps, vanilla options and exotic options, both cash settled and physically settled. Key requirements: • Experience of at least 5 years in Base metals trading is essential., • Expert knowledge of the LME market. Sharp technical expertise in base metals derivatives contracts., • The successful candidate will have a solid understanding of the various base metals supply and demand fundamentals., • Robust comprehension of who are the key European consumers and producers., • Ability to carry out execution of multiple base metals contracts in a short timeframe in the most efficient, compliant and cost-effective way., • Excellent numerical and analytical skills., • Solid problem-solving abilities., • Strong commercial mindset and high communication skills., • High entrepreneurial mindset required to develop a business., • Excellent P&L track record., • The successful candidate is likely to be educated to degree level in Mathematics, Physics, Engineering, Econometrics, or similar highly quantitative discipline.

About Us Hartree Partners is a global energy and commodities firm, founded in 1997. The firm is headquartered in New York and maintains offices in many financial centers around the world including London, Singapore, and Dubai. Hartree Partners LP is owned by the company’s Managing Partners, senior staff, and Oaktree Capital. Energy is always evolving. At Hartree Partners, we use our decades of experience in the physical and financial energy and commodities markets to explore the opportunities this evolution provides. We assist our customers in participating in new markets and navigating their complexities for maximum revenues at minimum risk. We provide a wide range of services to a substantial and diversified customer base that includes corporations, financial institutions, governments and individuals. Find out more about us by visiting our website at: ___ Job Summary Hartree Partners is seeking a Trading Assistant on our Metals Trading team in London. This is an exceptional opportunity for a motivated junior with middle or back office experience to gain exposure to the metals markets within a dynamic global trading environment. The successful candidate will work closely with traders, originators, and other analysts to support commercial decision-making through market analysis, data management, and performance reporting. The ideal candidate will demonstrate strong analytical ability, attention to detail, intellectual curiosity, and a genuine interest in global commodities markets. Duties & Responsibilities • Sit directly on the trading desk alongside senior traders, gaining real-time exposure to risk-taking, position management, and market flow across global metals markets., • Own the trade lifecycle from your seat — book trades, manage confirms, and coordinate with middle office to keep the book clean and P&L accurate., • Build, maintain, and sharpen the desk's internal models, databases, and dashboards, • Push the frontier on AI/LLM integration: automate repetitive workflows, accelerate research pipelines, and build tools that give our desk an edge., • Produce daily and weekly market intelligence — concise, high-signal reports on price action, spreads, regional dynamics, and macro drivers, • Support live trading with ad hoc analysis: pricing structures, spread relationships, arb opportunities — whatever the desk needs, fast., • Liaise across middle and back office to ensure trade data, exposure reporting, and performance attribution are bulletproof., • Develop deep market knowledge across base metals, precious metals, and the macro landscape — geopolitics, supply chains, central bank policy — everything that moves markets. Education & Experience • Degree in engineering, mathematics, economics, finance, computer science, or a related quantitative field, • Experience in commodities, trading, or a market-facing analytical role preferred, but not essential, • Strong Python experience applied to real-world data analysis and tool building, • Advanced Excel skills for practical trading desk use

About us: The global hiring revolution is shaping a future where talent can thrive everywhere, driving innovation and progress on a global scale. Multiplier is at the forefront of this change. By removing barriers and simplifying global hiring, we’re creating a level playing field where businesses and individuals – (like you) – can compete, grow, and succeed, regardless of geography. Multiplier empowers companies to hire, onboard, manage, and pay talent in 150+ countries, quickly and compliantly. Our mission is to build a world without limits, where ambitious businesses can look beyond borders to build their global dream teams. Our unified employment platform, complete with world-class EOR, COR, and Global Payroll products, means it has never been easier to seize the global hiring opportunity. We’re backed by some of the best in the business (Sequoia, DST, and Tiger Global), are led by industry-leading experts, scaling fast, and seeking brilliant, like-minded enthusiasts to join our team. The future is borderless. Let’s build it together. What you'll do: • Identify and engage new business leads through research, cold outreach, and networking, with a focus on MM/ENT accounts based in EMEA., • Develop and deliver compelling sales pitches, presentations, and demos to effectively communicate the value proposition of Multiplier's products., • Stay up-to-date with industry trends and market developments, adapting sales strategies to capitalize on emerging opportunities., • Consistently deliver on SQL targets by executing outbound sales activities, within your target geos and ideal customer profiles., • Collaborate with your dedicated Sales Executive in a pod set-up to hit targets., • Leverage our tech stack (Outreach, Nooks and Salesforce) to reach prospects., • Touch a minimum of up to 800 leads per month., • Schedule 10-20 demos per month., • Minimum 2+ years of experience in a business development or similar role, preferably in a SaaS environment., • Proven track record of meeting or exceeding sales targets, with a strong focus on lead generation and conversion., • Excellent communication and negotiation skills, with the ability to effectively engage with both technical and non-technical stakeholders., • Strong understanding of the EMEA market landscape and the ability to identify and capitalize on new business opportunities., • Fluency in English. Proficiency in Dutch, French and Spanish is an asset., • Ability to work in a fast-paced environment, prioritize tasks, and manage multiple projects simultaneously., • Strong analytical and problem-solving skills, with the ability to collect and analyze data to inform sales strategies., • You love being on the phone and understand that high output with targeted prospecting yields results. What we’ll provide for you: • Ability to contribute to this business at a high level., • Working with a compassionate, energetic, inspired, ambitious, and diverse team., • Opportunity to grow within a fast-growing business., • Competitive benefits, compensation, and culture of recognition., • Unlimited holiday policy., • A commitment to positively impact your career. A bit about you You absolutely love working with a unique and inspired workforce, and being part of a team. Startups excite you because you covet the opportunity to contribute to building something special, early on. You understand the science of lead gen, and use systems and mathematics to succeed. You’ve been successful in this role before, and relish the opportunity to grow. You’re progressively minded, creative, accountable, and quirky in your own way. If this sounds like you, we’d love to hear from you.