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Senior Data Scientist - Contract £700-£850 per day | Inside IR35 | Hybrid (1 day per week London) We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments. This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations to identify emerging threats, quantify risk exposure, and make informed, evidence-based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real-world, high-impact outcomes. Key responsibilities: • Design and develop advanced risk models, including predictive, probabilistic, and scenario-based modelling approaches, • Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets, • Build and deploy machine learning models into production, ensuring scalability and robustness, • Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty, • Analyse patterns, trends, and outliers to identify emerging threats and risk indicators, • Translate business and regulatory requirements into practical analytical frameworks, • Communicate complex findings clearly to technical and non-technical stakeholdersEssential experience:, • Strong Python data science stack (pandas, NumPy, scikit-learn), • Proven delivery of complex models (predictive, probabilistic, simulation-based) in real environments, • Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling, • Experience in threat detection / anomaly detection, such as fraud, compliance, safety, or security use cases, • Strong grounding in statistics, hypothesis testing, and experimental design, • Experience working with large, complex, and messy data sets, • Experience in life sciences, healthcare, or other highly regulated sectors This is a high-impact contract for a hands-on data scientist who thrives on solving complex risk problems, building sophisticated models, and helping organisations stay ahead of emerging threats in regulated environments.

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required: • Proficient in several of the following: Python, C#, C++, Java, • Mathematical Modelling, • Mathematical skills, particularly a keen understanding of probabilities and statistics, • Analytic mindset, • Strong communication skills, • Accuracy and attention to detail, • Experience in data science, • An interest in sports data/trading If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

\n\n \n\n Accounting Manager \n\n \n\n London | Hybrid | Leading US Law Firm \n\n \n\n \n\n My client, a highly respected US law firm, is seeking an experienced Accounting Manager to join their London office. The position works closely with the CFO, DOA/COFA, and US‑based finance teams, offering excellent exposure across the firm. As Accounting Manager, you will take ownership of a wide range of financial processes, ensuring accuracy, compliance and smooth day‑to‑day operations. This includes: \n\n \n\n \n\n Accounting \n\n \n\n Preparing, filing and paying quarterly VAT returns.Supporting the annual SAR audit, liaising with auditors and responding to queries.Working with the US Accounting team on the UK LLP statutory audit, including year‑end journals and reporting.Liaising with the relevant contacts on UK partnership tax filings and partner tax statements.Performing GL reconciliations (pensions, loans, receivables, salary advances, deposits).Overseeing expenses and supplier payments approvals and processes.Payroll & Benefits \n\n \n\n Managing monthly payroll in partnership with HR and an outsourced provider.Maintaining the master salary list and ensuring timely, accurate payroll delivery.Overseeing all HMRC requirements.Managing pension contributions and auto‑enrolment compliance.Handling payroll queries and preparing final data for the US team.Completing payroll year‑end tasks including PAYE Settlement and P11D(b).Partner Payroll \n\n \n\n Managing the UK SEP draw schedule and monthly partner payments.Liaising with US teams on FX, tax and capital deductions.Reporting & Support \n\n \n\n Producing management and cash‑flow reports.Responding to queries relating to cost orders, billing, WIP, AR and AP.Completing Office for National Statistics submissions.Compliance & Banking \n\n \n\n Supporting compliance with SRA.Maintaining relationships with banking partners.Managing banking user access and permissions.Handling card requests, credit limit changes and account closures. \n\n \n\n Skills & Experience \n\n \n\n Chartered Accountant qualification (ACA, ACCA or equivalent).Strong experience in a similar accounting role, ideally within a law firm or professional services environment.Excellent knowledge of HMRC regulations, VAT, payroll processes and SRA Accounts Rules.Proficiency in Excel and financial systems (3E, Emburse, online banking). \n\n \n\n Due to the high volume of applications, we are not able to respond to all enquiries. If you have not received a response within 72 hours, please assume you have not been shortlisted at this stage, however thank you for taking the time to apply. \n\n \n\n \n

£150,000 - 200,000 GBP Performance Based Bonus Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Systematic Equity Stat Arb Quantitative Researcher A leading systematic multi-strategy hedge fund is expanding its systematic equity team and is seeking a talented Quantitative Researcher with a proven track record in statistical arbitrage strategy development. This is a unique opportunity to join a high-performing team focused on developing and scaling alpha-driven strategies across global equity markets. Key Responsibilities • Conduct alpha research, backtesting, and implementation of systematic stat arb strategies, • Design and develop new quantitative trading models across global equity markets, • Optimize portfolio construction and enhance existing trading strategies, • Leverage big data and machine learning techniques to uncover new signals, • Collaborate with other researchers, engineers, and portfolio managers in a fast-paced environment Ideal Candidate Profile • 3+ years of experience developing systematic statistical arbitrage strategies in equity markets, • Advanced degree (MSc/PhD) in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Engineering) from a top-tier university, • Strong foundation in mathematics, statistics and signal generation techniques, • Proficient in Python and/or C++ for research and model implementation, • Experience with backtesting, simulation frameworks and large-scale data analysis, • Exposure to machine learning and alternative data is a strong plus

£150,000 GBP 120,000 Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world. Your future role • Your core objective is to create high quality predictive signals, • By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities, • Share and discuss research results, methodology, data sets and processes with other researchers, • Implement the signals and the relevant datasets within the global execution platform, • Monitor signal behaviour and model performance over time, • You would lead the full strategy research cycle from signal generation to implementation Your present skillset • Min 4 years of relevant experience, • Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering, • Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus, • Capacity to multi-task in a fast paced environment while keeping strong attention to detail, • Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#), • Experience in exploring large datasets across multiple time frames is a plus, • Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields, • Capacity to work with autonomy within a collegial and collaborative environment, • Strong capacity to communicate with technologists, data scientists and traders across the globe, • Proven track record in delivering successful systematic strategies

Are you ready to take your career to the next level? This exciting opportunity as a Business Data Analyst offers the chance to make a real impact in a dynamic and fast-paced environment. With a focus on driving scalable lead acquisition, qualification, and conversion, this role is perfect for someone looking to work on innovative projects that shape the future of business strategies. As a part of this position, you will collaborate with cross-functional teams, dive into data analysis, and optimise processes to deliver tangible results. If you're passionate about data, insights, and making a difference, this could be the perfect role for you. What You Will Do: • Own the end-to-end lead journey through robust API integrations, ensuring seamless lead attribution, minimal leakage, and improved online booking conversion rates. - Analyse dashboards to track lead quality, source effectiveness, drop-offs, and conversion trends, delivering actionable insights that enhance lead velocity and ROI. - Drive scalable strategies for lead acquisition, qualification, and nurturing at various stages, ensuring smooth collaboration across stakeholders. - Provide structured reporting on lead flow and SLA adherence, enabling refinement of lead management tactics. - Collaborate with stakeholders to maintain accuracy, optimise efficiencies, and identify roadmaps for improvement in lead flow and management. What You Will Bring: • Strong analytical skills and a proven ability to interpret data into actionable strategies. - Experience with API integrations and lead management processes. - Ability to work collaboratively with cross-functional teams and external stakeholders. - Proficiency in using dashboards to track and optimise performance metrics. - A results-driven mindset with a focus on improving lead velocity and ROI. - Experience / knowledge of Zapier, Bemycar, MSD software or similar packages advantageous. - Degree qualified in a relevant field such as data science, statistics, computer science, mathematics or digital marketing essential. This role is a vital part of the company's mission to enhance operational efficiency and maximise growth opportunities. By leveraging your skills and expertise, you will contribute to the optimisation of lead acquisition and conversion processes, aligning with the company's commitment to innovation and excellence. Location: This position is hybrid with office location in Camden, offering a vibrant and inspiring work environment in the heart of the city. Interested?: If you're ready to step into a role that challenges and rewards, apply today. Don't miss the chance to be part of a forward-thinking company where your contributions will drive success and innovation. Apply now to start your journey as a Business Data Analyst! Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.

£100,000 GBP +Sign-On + EOY Bonus Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Our client is a global investment management firm that employs a diversified range of systematic and quantitative strategies aross financial markets, with the objective of delivering high-quality, uncorrelated returns for clients. They attribute their success to rigorous scientific reseach and possess deep expertise in trading, technology, and operations. As a technology and data driven firm, they design and build their own cutting-edge sustems, ranging from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, they emphasize true global collaboration by functionally aligning their investment, technology, and operations teams worldwide. Position Overview • Drive the development of the discretionary risk framework by enhancing firm-wide processes and infrastructure., • Ensure discretionary strategies operate within riks limits and allocations defined by the Investment Commitee., • Identify and evaluate risks associated with discretionary trading strategies., • Analyze portfolio-level risk exposures and key performance drives., • Collaborate with quantitative researchers and traders on strategy analysis., • Support trade and portfolio construction across the discretionary business.Qualifications, • Education: Bachelor's degree in a quantitative or related field (includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics); advanced degree preferred.Years Experience Guidelines, • Graduate level up to 3 years of relevant experience.Required Skillset, • Shows a keen interest in Risk Management and understanding complex risk frameworks., • Applies a quantitative approach to problem-solving and decision-making., • Thrives in fasst-paced environments with a strong sense of urgency and proactive mindset., • Communicates effectively with global teammates to drive alignment and results., • Demonstrates strong collaboration skills with trading, analyst, and quantiative teams.

Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment. This is a senior, hands-on practitioner role, not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility. The organisation is outcome-led rather than technology-led. Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: • Lead end-to-end machine learning delivery, from problem definition through experimentation, evaluation, and iteration, • Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results, • Design and run structured experiments to assess model behaviour, performance, and user impact, • Work with real, imperfect operational data, not just curated or static datasets, • Collect, assess, and transform data to support model evaluation and continuous improvement, • Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose, • Integrate machine learning components into wider systems, considering performance, reliability, and operational constraints, • Communicate complex technical ideas clearly to non-technical stakeholders, enabling informed decision-making, • Engage confidently in deep technical design and review discussions with peers, • Operate effectively within a strong technical assurance and review culture, • Collaborate with internal teams and selected external partners working at the leading edge of AIWhat we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: • Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent, • Strong grounding in applied mathematics, statistics, and scientific practice, • Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation, • Excellent Python skills for building, evaluating, and iterating on ML solutions, • Experience working with real-world, imperfect data from operational systems, • Strong software engineering practices, including readable, maintainable, and well-tested code, • Experience integrating ML components into broader production systems, • Clear understanding of data ethics, privacy, and responsible use of data, • Strong communication skills across technical and non-technical audiences, • Proven ability to lead work independently and take ownership of outcomesTechnologies you'll encounter The environment evolves, but typical tools include: • Python for experimentation, modelling, and evaluation, • Weights & Biases (or equivalent) for experiment tracking, • AWS, including services such as SageMaker and Bedrock, • Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools. Adaptability and outcome focus matter more than platform allegiance. Desirable experience • Working in secure, safety-critical, or heavily regulated environments, • Background in sectors such as energy, oil & gas, defence, or public sector, • Experience within formal technical assurance or governance processes, • Collaboration with external suppliers, partners, or research organisations, • Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Lead QA/QC Engineer – London We are seeking a Lead QAQC Engineer to join our team in London. This is an opportunity to play a key role on a high-profile site, leading all quality assurance and quality control activities to ensure compliance with stringent healthcare standards. You will be responsible for overseeing inspections, documentation, and quality processes, ensuring all works are delivered to the highest standards while driving excellence through to successful project completion. Your Team You'll join a hardworking, ambitious, and supportive team where your ideas matter and your development is genuinely prioritised. At Dornan, we invest in long-term career growth through structured progression pathways and continuous training support. The Role As a Lead QA/QC Engineer you will, as part of a dedicated site quality and inspection team, be expected to co-ordinate the establishment and implementation of the Project quality plan, site inspection and test procedures of the subcontracted installation. The Lead QA/QC Engineer will be an exemplar ambassador for the company and its values; integrity, dependability, safety, pride, quality. Working closely with the QA/QC Manager, your duties may include (but are not limited to): • Familiarisation with the scope of each system, specification and installation, focusing particularly on pipe work installation and weld quality, • Familiarisation of the requirement of the Quality plan, the General Contractor quality plan and the client quality plan, • Implementation of the site inspection and test process as prioritised for each system, • Attend quality review meetings with the General Contractor and client as required, • Provide regular feedback to your line manager on the Quality process on site and issue improvement recommendations, in line with the weekly project reporting structure, • Generate and close out punch lists and generate quality statistics for tracking and monitoring purposes., • Co-ordinate with the client and subcontractors on the scheduling and prioritising of system walk downs., • All other reasonable tasks assigned to you from time to time from your manager. About You Your Experience • Ability to priorities workload, • Recognises own strengths and weaknesses and committed to ongoing development, • Acceptance of responsibility and accountability Your Qualifications • Detailed knowledge of the QA /QC Engineer role, • Commercial understanding, • Health, Safety and Environmental systems, • Knowledge of the team’s strengths and weaknesses To find out more information please contact Sean Hitchman on 07553 002453 / sean.hitchman@dornangroup.com #LI-SH1

Join Our Client as a Data Scientist! Location: Hybrid Contract Type: Fixed Term Contract (6 Months) with Possible extension Are you a data enthusiast with a flair for turning complex data into actionable insights? Do you want to make a tangible impact in the retail industry? If so, we have the perfect opportunity for you! Our client, a leading organization in the retail sector, is on the lookout for a talented Data Scientist to join their dynamic team. About the Team: • At our client’s organization, the Data Science team is at the forefront of innovation., • They tackle some of the most complex business challenges across various domains, including customer experience, supply chain, marketing, and technology., • By applying advanced machine learning techniques, generative AI, and large language models, they enhance pricing strategies, optimize store operations, and personalize customer interactions., • This is a collaborative environment where team members rotate across different domains, expanding their skills and impact. As a Data Scientist, you will: • Develop and deploy machine learning solutions that enhance decision-making and improve customer service., • Design and implement robust models while experimenting with new approaches.. This includes building data pipelines and models, evaluating model performance both statistically and in terms of business impact, and scaling solutions into production., • Translate business problems into effective data science solutions, including building data pipelines and evaluating model performance., • Collaborate with Machine Learning Engineers and Software Engineers to ensure efficient, maintainable solutions that align with organizational technology standards., • Communicate complex ideas clearly to non-technical stakeholders, contributing to knowledge sharing within the organization and representing them in the external data science community. What You’ll Need: • A solid foundation in machine learning, statistics, and programming., • Intellectual curiosity and critical thinking skills, with a scientific mindset focused on achieving business impact., • The ability to translate challenging business problems into clear data science solutions., • Extensive experience in designing and implementing models using Python, particularly in large-scale distributed computing environments., • Strong coding practices, including version control and testing., • A proactive approach to learning new methods and contributing to a culture of collaboration., • A higher degree in a quantitative discipline (e.g., Mathematics, Computer Science, Engineering, or Physics) is preferred, though equivalent experience is also valued., • Hands-on experience with advanced machine learning libraries. Why Join Us? • Impactful Work: Your contributions will directly influence business decisions and customer experiences., • Dynamic Environment: Enjoy a culture of innovation and continuous learning., • Collaborative Team: Work alongside passionate professionals who are eager to share knowledge and support one another., • Career Growth: Gain exposure across various domains and expand your expertise. If you’re ready to take on this exciting challenge and make a difference in the retail industry, we’d love to hear from you! Apply now and become a part of our client’s journey toward data-driven excellence! Our client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Pontoon is an employment consultancy. We put 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, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

About the Role We are seeking a Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration Nice-to-Have Qualifications • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously, • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with RAG, LLM Orchestration and MCP, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

About the Role We are seeking a Senior Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically, • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning, • Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search, • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar, • Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows, • Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources, • Knowledge of LLM evaluation methods — measuring accuracy, hallucination, latency, and cost, • Awareness of responsible AI practices: bias, safety, output validation, and guardrails in production systems, • Experience managing LLM costs and optimising for latency vs. quality trade-offs in real deployments Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration, • Mentoring: Able to mentor less-experienced Software Engineers. Nice-to-Have Qualifications • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with Apple and Google App Stores, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems How to Apply Please submit: • Your resume/CV, • A brief cover letter explaining why you're interested in this role, • Links to your GitHub profile or relevant code samples, • Any relevant projects or work that demonstrates your experience We're particularly interested in candidates who can demonstrate: • Experience building scalable backend systems, • Ability to work across multiple domains (backend, DevOps, data), • Examples of taking projects from idea to production, • Contributions to open source or personal projects Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

The Role We are looking for a detail-focussed Applied Research Engineer to help us develop the next generation of the algorithms at the heart of our system. Our product is experiencing tremendous growth, and we need to ensure that we continue to deliver accurate insights in a rapidly changing landscape. This role requires someone who thrives in a fast-paced environment where continuous innovation and refinement are key. You will be working closely with our product team to ensure our algorithms and models capture their domain knowledge and expertise appropriately. This is an ideal opportunity for someone looking to kick-start a career in AI. Core responsibilities: • Designing, building, and testing AI-powered experiments working with leading-edge ML models., • Building and deploying AI-powered microservices following standard design patterns., • Implementing infrastructure as code using tools like Terraform or CloudFormation to automate deployment and scaling processes., • Statistical evaluation of candidate systems against functional and non-functional requirements, optimising for performance and cost-efficiency., • Collaborating with our wider engineering team, • Demonstrating a desire to continuously learn & improve You need to have: • Being a small company, candidates need to be able to work autonomously, be comfortable without micro-management, be flexible and have initiative to solve problems., • A rigorous and scientific approach to problem solving, • A demonstrable track record for learning and mastering complex topics, • Keen attention to detail, • Strong verbal and written communication, • Demonstrable experience working with Python and good Python knowledge, • A good understanding of statistics, • A strong understanding of algorithm optimisation, • A strong foundation of working with command-line tooling and knowledge of unix What you will gain out of it: • We will provide you with support and training in everything you need. This will include background understanding of the risk and compliance sector, our product, development, AWS infrastructure, log analysis and all other related skills. About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another job role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. Here’s our promise to you: • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

[Up to c. £350k Comp Package | Hybrid Working - 4 Days in Office] Role Overview We’re representing a high-calibre quantitative investment firm building a new security function alongside a completely refreshed technology environment. This is a rare opportunity to shape Detection & Response properly from day one, rather than inherit a noisy SIEM, half-owned tooling and legacy processes. The role suits a deeply technical security engineer who understands systems at a low level, has strong opinions on telemetry and detection architecture, and can turn those opinions into production-grade capability. You’ll work closely with senior security leadership to design the data, tooling, automation and response foundations that protect a fast-moving investment platform... Key Responsibilities • Define and build the firm’s Detection & Response capability across endpoint, network, cloud and internal infrastructure, • Design logging, telemetry and security data pipelines, including collection, enrichment, deduplication, storage and search, • Build and tune detections across canaries, honeypots, alerting, behavioural signals and response workflows, • Own detection infrastructure using IaC, CI/CD and software-engineering best practices, • Partner with infrastructure, engineering and operations teams to embed security into deployment and operating models, • Support broader security architecture across authentication, authorisation, certificate services and cloud controls, • Investigate security events, improve response playbooks and reduce noise through better signal design, • Make independent technical decisions that support a greenfield, fast-scaling security environment What You’ll Bring… • 3-5 years’ hands-on experience across detection engineering, incident response or security engineering, • Strong understanding of operating systems, networking, computer architecture and security fundamentals, • Proven ability to design security data collection strategies and build scalable telemetry pipelines, • Experience writing, tuning and maintaining detections across modern infrastructure and cloud environments, • Strong scripting or software-engineering ability, ideally with Python, Go, PowerShell or similar, • Experience managing security tooling, detections or infrastructure through IaC and CI/CD workflows, • Comfortable operating in fast-paced, high-ownership environments where priorities move quickly, • Strong communication skills, with the ability to explain security trade-offs to engineering and leadership teams, • (Preferred) Offensive security, red-team, exploit development or threat-research experience, • (Preferred) Exposure to statistics, signal processing, data science, electrical engineering or another rigorous technical discipline ...

Who are we and What do we do? ShareChat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms. Founded in 2015, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content. Today, the ShareChat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% YoY revenue growth in the July-Sept (2025-26) quarter and increased it by more than 60% in the Oct-Dec quarter. What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: • Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization., • Nurturing our content and creator ecosystem, and developing models for strategic content valuation., • Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? • 8+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA, • Design and help develop systems that serve recommendations to over 300 million users, • Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems, • Provide technical guidance in ranking systems design, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics, • Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders, • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus., • Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus., • Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations., • Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus., • You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning, • You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What's in it for you? At ShareChat, our values—Ownership, Speed, User Empathy, Integrity, and First Principles—are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development.

Role Overview We are looking for a sports-focussed Quantitative Analyst that is keen to take the next step in their career and focus on building quantitative models for this sports analytics company. Following the success of their team, they are looking to grow again - you will be joining individuals from the top universities in the UK, with a broad experience in the world of mathematical modelling, some of the team boasting experience at the likes of CERN. This team works alongside the Data Scientists to build complex algorithms to support the mathematical and statistical problems. What will you do? • Design and build advanced statistical models for sports markets, deriving new products and enhancing existing offerings, • Own the full life cycle from concept, to research, through to productionisation and performance monitoring, • Collaborate closely with data scientists and quant researchers to tackle complex mathematical and statistical problems, sharing methods and continuing the culture of ongoing research What do you need? • Strong background in statistical and mathematical modelling. Ideally holding a PhD (or equivalent experience) in Physics, Mathematics, Statistics or a related discipline, • Working knowledge of Monte Carlo simulations, Bayesian methodologies or stochastic modelling, • Proficient in Python as your primary modelling tool; familiarity with PySpark, Hive, Docker or Kubernetes is advantageous but not essential What's in it for you? • Genuine scope to shape something new. This is a freshly created function, and you'll have real influence over how quantitative modelling is built and delivered within the business, • A clear 2–3 year+ roadmap with significant company investment behind it, • Annual learning and development budget, • Hybrid working from London, with flexible working hours, • Various other benefits, including a flexible allowance for you to use how you would prefer, • Regular pay reviews and promotion opportunities

Semantic AI & Knowledge Graphs About Depixen Depixen is a London-based technology company building the digital decision infrastructure of the construction industry. As a corporate member of the World Wide Web Consortium — W3C, Depixen develops Linked Data architectures, domain-specific taxonomies, ontologies, RDF-based data structures, and knowledge graph infrastructures for construction, architecture, and building products. We work with fragmented and highly contextual industry data: product catalogues, technical documents, standards, materials, suppliers, projects, events, images, and user interactions. About the Role We are looking for a Senior Data Scientist to help build intelligent data systems for classification, enrichment, entity resolution, semantic search, recommendation, and knowledge graph-connected AI applications. This is not a conventional data science role. You will work at the intersection of machine learning, semantic data modelling, information retrieval, knowledge graphs, and real-world construction product data. Your work will help turn fragmented industry data into reliable, contextual, and explainable decision intelligence. Responsibilities • Develop machine learning and data science systems for classification, extraction, enrichment, matching, recommendation, and semantic search., • Work with structured, semi-structured, unstructured, and graph-connected data., • Build entity extraction, entity resolution, deduplication, and similarity-matching workflows., • Connect AI outputs with taxonomy, ontology, RDF, and knowledge graph layers., • Design evaluation, benchmarking, validation, and error-analysis processes., • Improve data quality, consistency, explainability, provenance, and semantic alignment., • Collaborate with engineering, product, and domain teams to turn business requirements into scalable technical systems., • Support the development of production-grade semantic AI and decision-support systems. Required Qualifications • Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, Mathematics, Statistics, or a related field., • 4+ years of hands-on experience in data science, machine learning, information retrieval, NLP, knowledge graphs, or related AI/data fields., • Strong Python skills., • Experience developing, testing, deploying, and monitoring data science or machine learning models., • Experience with structured, semi-structured, and unstructured data., • Practical experience in several of the following areas:, • classification, • entity extraction, • entity resolution, • semantic enrichment, • recommendation systems, • semantic search, • information retrieval, • NLP, • data quality automation, • Strong understanding of data modelling, metadata, data quality, model evaluation, benchmarking, and error analysis., • Ability to document technical work clearly and communicate across technical and non-technical teams., • Interest in semantic web technologies, knowledge graphs, ontologies, taxonomies, or linked data. Preferred Qualifications • Master’s or PhD in Computer Science, AI, Data Science, Machine Learning, NLP, Semantic Web, Knowledge Graphs, or a related field., • Experience with RDF, OWL, SPARQL, SHACL, SKOS, JSON-LD, schema.org, ontologies, taxonomies, or Linked Data., • Experience with graph databases or triple stores such as GraphDB, Stardog, Neo4j, Amazon Neptune, or Blazegraph., • Experience with embeddings, vector databases, RAG, LLM-based enrichment, or knowledge graph completion., • Experience with MLOps tools such as Docker, Kubernetes, MLflow, Weights & Biases, Airflow, or similar., • Experience with AWS, GCP, or Azure., • Experience in construction, architecture, BIM, building materials, technical product data, catalogues, standards, or compliance-heavy data systems., • Contributions to open-source projects, academic publications, or applied research are a plus. Problem Areas You may work on: • construction product classification and enrichment;, • entity resolution for products, suppliers, events, venues, organizations, and technical concepts;, • semantic search and recommendation systems;, • extraction of structured data from catalogues, PDFs, websites, and technical documents;, • knowledge graph-connected AI workflows;, • data quality, explainability, provenance, and validation systems. Why This Role Is Different Construction data cannot be understood through statistical patterns alone. The meaning of a product, material, document, technical value, supplier, or project depends on its relationship to standards, classifications, specifications, and domain knowledge. At Depixen, data science outputs are not isolated predictions. They are connected to verified data, semantic classification, ontology, RDF, and knowledge graph layers. This role is about building reliable, contextual, explainable, and machine-interpretable AI systems for one of the world’s most complex industries.

About the Role JD.com seeking an experienced AI Engineer to join our growing technical team at Joybuy (_). Joybuy is JD.com’s European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. Offering same-day and next-day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers. In this role, you will design, develop, and deploy AI/ML solutions that power Joybuy. You will work at the intersection of machine learning, engineering, and product, building intelligent systems that drive personalisation, search, recommendation, content understanding, and operational efficiency at scale. Key Responsibilities • Design, build, and maintain AI/ML models and pipelines for Joybuy's international platform, covering areas such as personalisation, recommendation, NLP/LLM applications, computer vision, and fraud detection., • Own end-to-end machine learning lifecycle from problem formulation and data exploration to model training, evaluation, deployment, monitoring, and iteration in production., • Collaborate closely with product managers, software engineers, and data teams across Europe and China to align AI capabilities with business goals and regional market needs., • Research, adopt, and promote state-of-the-art AI/ML technologies and methodologies, contributing to the team's technical roadmap and architectural vision., • Build and optimise machine learning infrastructure and tooling, including feature stores, model serving platforms, A/B testing frameworks, and CI/CD pipelines for machine learning., • Work onsite in Green Park, London. Minimum Qualifications • Bachelor's degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related technical field., • 3+ years of hands-on experience in building and deploying machine learning models in production environments., • Strong programming skills in Python, with proficiency in machine learning frameworks such as PyTorch, TensorFlow, or JAX., • Solid understanding of modern machine learning techniques including deep learning, NLP, recommendation systems, or LLMs., • Experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes)., • Experience with MLOps tooling and practices — model versioning, experiment tracking, CI/CD, A/B testing., • Proactive, fast learner, and highly collaborative, with strong communication, analytical, and problem-solving skills, capable of independently identifying and resolving complex technical challenges., • Effective communication skills in English. Preferred Qualifications • Work experience in large-scale e-commerce companies or high-traffic consumer-facing platforms., • Experience with LLM fine-tuning, RAG architectures, or generative AI applications., • Experience building multilingual or cross-market AI systems for European/global audiences., • Experience with real-time inference systems, feature engineering at scale, or online learning., • Publications at top-tier ML/AI conferences (NeurIPS, ICML, KDD, ACL, CVPR, etc.) or significant open-source contributions., • Effective communication skills in Chinese. What We Offer: • A dynamic and challenging work environment in a leading global e-commerce company with a fast-growing international business., • The opportunity to work with a diverse international team spanning London and Beijing, making a significant impact on JD.com's global AI strategy., • Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses., • Exposure to massive-scale data, complex cross-border e-commerce challenges, and real-world AI problems that impact millions of users. JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: _ JD.com is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About Magentic At Magentic, we’re building AI systems that can autonomously run complex procurement and supply chain workflows for some of the world’s largest companies. We’re tackling a genuinely hard real-world problem, helping global manufacturing supply chains become more resilient in an increasingly unpredictable world. It’s a massive space with huge untapped potential for AI. We’re an early-stage company backed by Sequoia Capital, with a team bringing experience from OpenAI, Meta, Revolut, NASA and McKinsey & Company. We’re looking for a Data Scientist to help us apply LLMs and AI tooling to large-scale, messy, real-world datasets, solving operational problems where the answers aren’t obvious and the impact is very tangible. The Role This is not a traditional analytics or engineering role. We’re looking for someone who enjoys working deeply with data, experimentation, AI tooling, and problem solving, someone comfortable using Python, notebooks, LLMs, and structured thinking to solve non-trivial operational challenges. You’ll work on applying AI models and data science approaches to complex enterprise datasets, helping uncover insights, automate workflows, and prototype intelligent systems quickly. The ideal person is highly curious, pragmatic, and comfortable operating in ambiguity. You don’t need to be a production software engineer, but you do need to be technically capable, thoughtful, and able to independently execute meaningful work. What You’ll Do: • Work with large, messy, real-world enterprise datasets, • Apply LLMs and AI tooling to operational and analytical problems at scale, • Build data workflows and experiments using Python and Jupyter notebooks, • Run and analyse large-scale queries and model outputs, • Prototype and iterate quickly on AI-driven approaches, • Work closely with product, engineering, and founders on exploratory projects, • Translate ambiguous problems into structured investigations and solutions, • Help shape how AI is applied across procurement and supply chain workflows You Might Be a Great Fit if You: • Have 3+ years of hands-on experience in data science, applied AI, analytics, or similar work, • OR a strong academic background (e.g. Master’s in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Physics, etc.) combined with 1–2 years of industry experience, • Strong Python skills, • Experience working in Jupyter notebooks, • Familiarity with LLMs, AI tooling, or applied machine learning workflows, • Strong analytical and problem-solving ability, • Comfort working independently on open-ended problems, • Ability to work pragmatically rather than over-engineering solutions, • Curiosity and enthusiasm for AI-native ways of working Bonus Points: • Experience applying LLMs to real-world datasets, • Experience with vector databases, embeddings, or retrieval systems, • Exposure to operational or enterprise data environments, • Background in highly analytical disciplines such as medicine, physics, maths, or engineering Compensation And Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: • Competitive Equity: play a real part in Magentic’s upside, • A salary of £60-70k, • Enhanced parental leave, • 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown, • In-office lunches provided, • Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues, • Salary sacrifice pension and nursery schemes, • Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc), • Annual team retreat—a fully-funded off-site to recharge, bond, and build Our Interview Process There are a few components because it's really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet. • Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role., • Skills interview (60 mins with some prep): in this step, we'll ask you to present some of your work to us and discuss it., • In-person interview: for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, a role-specific task and a discussion of your work with the team. Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.

Falcon Green is partnering with a leading international Tier 1 main contractor renowned for delivering complex, large-scale life sciences and mission-critical projects across Europe and beyond. As part of their continued expansion, they are seeking an experienced Mechanical Package Manager for data centre projects based in Munich, Germany. As a Mechanical Package Manager, you will work closely with site teams, subcontractors, and the client to ensure the successful delivery of mechanical packages throughout all phases of the project — from pre-construction and installation through to commissioning and final handover. The ideal candidate will have a proven background delivering large-scale mechanical systems on mission-critical or major construction projects, with strong experience managing programme, quality, safety, and subcontractor performance. In addition to a competitive salary, the successful candidate will benefit from a living away from home allowance, return flights, accommodation, and other associated perks. Responsibilities: • Manage and oversee all mechanical package works on site, ensuring delivery is achieved safely, on programme, within budget, and to the highest quality standards., • Coordinate closely with the project team, subcontractors, consultants, and client representatives to ensure smooth project execution and successful delivery milestones., • Lead and manage site engineers, supervisors, and subcontractors while maintaining strong collaboration across all disciplines to avoid clashes, delays, or programme impacts., • Monitor and manage project schedules in line with overall construction programmes and client expectations., • Oversee all QA/QC activities relating to the mechanical scope, ensuring inspections, testing, documentation, and handover requirements are completed correctly., • Ensure site safety standards are maintained in collaboration with the project safety team and that all mechanical activities comply with company and statutory regulations., • Manage subcontractor performance, progress, manpower levels, and productivity, ensuring weekly coordination and progress meetings are conducted and documented., • Track and control project costs, variations, and commercial risks in conjunction with the commercial team and Project QS., • Maintain accurate project reporting, including weekly progress updates, labour forecasts, safety statistics, risks, delays, and procurement concerns., • Chair and attend project meetings including coordination meetings, engineering reviews, client meetings, and commissioning/handover meetings., • Oversee commissioning activities and ensure all mechanical systems are delivered in line with client specifications and commissioning programmes., • Support the successful project close-out process, including O&M manuals, QA documentation, snagging, testing and balancing records, and final handover documentation., • Ensure all subcontractor and project documentation is maintained, updated, and correctly archived throughout the project lifecycle., • Assist in the implementation and continuous improvement of company procedures, project controls, and delivery standards., • Manage change effectively, ensuring impacts on programme, cost, and resources are identified, communicated, and mitigated where possible. Requirements: • Relevant trade background or third-level qualification in Mechanical Engineering or Building Services Engineering., • Proven experience working as a Mechanical Package Manager or Senior Mechanical Engineer on large-scale construction or mission-critical projects., • Strong background delivering mechanical packages on data centre, pharmaceutical, industrial, or other complex projects., • Excellent understanding of mechanical systems, QA/QC processes, commissioning, and project delivery., • Experience managing subcontractors, programme coordination, and commercial reporting., • Proficient in Microsoft Office, MS Project, and AutoCAD/BIM platforms., • Strong communication and stakeholder management skills., • Flexibility to travel or work in mainland Europe as required. If you would like to apply for this position, please forward your CV using the email link provided.

Senior Data Scientist – Computational Biology & Drug Discovery Drug Discovery | Multi-Omics | Machine Learning Location : London, UK (Hybrid) About the Role We’re partnering with an innovative TechBio company at the intersection of computational biology, machine learning, and drug discovery. The team is building advanced computational approaches to better understand human biology and accelerate therapeutic discovery across complex diseases. This role is ideal for a scientifically grounded data scientist with a strong computational background who thrives on interpreting machine learning outputs in a biological context — not just building models, but extracting meaningful biological insight that can influence discovery decisions. What You’ll Be Doing • Analyse complex biological and multi-omics datasets, • Apply ML and statistical modelling to drug discovery challenges, • Interpret model outputs in a biological context, • Work with pathway databases, knowledge graphs, and large-scale biological data, • Collaborate with computational biology and data science teams What We’re Looking For • Strong background in Data Science, Computational Biology, Bioinformatics, Statistics, Computer Science, Physics, Mathematics, or related fields, • Experience in biotech, pharma, drug discovery, or TechBio, • Strong Python and/or R skills, • Experience with ML applied to biological data, • Familiarity with genomics, single-cell, spatial, proteomics, or multi-omics data, • Experience with Reactome, KEGG, OpenTargets, STRING, or similar databases is a plus, • Strong critical thinking and ability to interpret ML outputs biologically Preferred Background • Production or implementation experience, • Multi-modal / cross-modality biology experience, • Exposure to LLMs or AI agents Interested? If you’re excited by the opportunity to combine machine learning, computational biology, and translational science to drive real-world therapeutic discovery, we’d love to hear from you. Apply directly or reach out for a confidential discussion.

Job Title: AI Engineer – Trading Analytics (Databricks & LLMs) Duration: Contract Workload: Full time hours Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader) Location: London - hybrid working We need an AI Engineer with a strong data engineering core to build AI‑powered analytics for front‑office trading teams using Databricks, Spark, and modern LLM workflows. Key Responsibilities: • Design and deliver AI‑driven analytics for traders, including seasonality, correlations, regression, forecasting, and scenario modelling., • Build scalable, reusable data pipelines in Databricks using PySpark, Spark SQL, Delta Lake, and Unity Catalog., • Perform statistical and econometric analysis on large market and fundamentals time‑series datasets., • Work directly with traders and analysts to turn ambiguous questions into production‑ready tools and clear insights., • Implement LLM and agentic workflows (prompt engineering, LangGraph, MCP, tool calling, retrieval, guardrails)., • Productionise solutions with testing, observability, versioning, documentation, and CI/CD. Must‑Have Skills: • Hands‑on Databricks and Spark expertise (PySpark, SQL, Delta, Unity Catalog)., • Strong data engineering background: ingestion, modelling, orchestration, performance tuning., • Solid statistics/econometrics for market time series., • Experience building and integrating LLM solutions., • Excellent communication and stakeholder engagement skills. Nice‑to‑Have: • Commodity or financial trading background., • Knowledge of market microstructure, supply/demand fundamentals, or risk.

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development. Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI / ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements: Deep expertise in engineering agentic AI systems Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows

• Must have Bachelor's Degree in Computer Science, Maths, Stats, or Op Research, • Recruit From UK only, • Annual Salary - £250,000 - £600,000Senior Quantitative Developer / Research & Data Engineer - LONDON, UK x3 - Annual Salary - £250,000 - £600,000 (base salary £120k - £160k+)Primary Skills - Python, C++, quantitative, research, market data, simulation frameworksSecondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, LinuxRemote Status - No RemoteClient Willing to Sponsor - YesDegree - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research ONLYRelocation Paid - YesRecruit From UK onlyOther Compensation - Base + BonusA leading systematic investment team is spinning out from a globally recognised hedge fund into an independent firm already managing $6bn+ AUM, with ambitions to become one of the largest quant spinouts in the industry. They are hiring senior Quantitative Developers / Research & Data Engineers in London to help build the core infrastructure of the new platform. The environment combines the backing, leadership, and track record of an established fund with the speed, ownership, and technical culture of a high-performing startup. The CTO personally reviews candidates and expects exceptional technical and communication skills. The role covers areas such as real-time market data systems, quantitative research infrastructure, cloud-based simulation platforms, trading execution environments, and tooling for new strategies and asset classes. The stack is primarily Python with C++, across cloud and on-prem infrastructure. Candidates must have strong buy-side or equivalent high-performance engineering experience, deep Python and good C++ skills, quantitative understanding, and the ability to own major technical initiatives. Strong academic backgrounds from top universities are required. Compensation is highly competitive, with London base salaries from £120k - £160k+ and total compensation commonly ranging from £450k to £600k+ depending on impact and seniority. Four days in-office, Mondays remote. This is a rare opportunity to join a major quantitative trading spinout before the transition completes - at the stage where early hires help define the future platform and culture. IND123

• Senior Quantitative Developer / Research & Data Engineer, • Research & Data Engineer, • UNITED KINGDOMSenior Quantitative Developer / Research & Data Engineer- LONDON- UNITED KINGDOMPrimary Skills - Python, C++, quantitative, research, market data, simulation frameworksSecondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, LinuxNo. Positions - 3Remote Status - No RemoteClient Willing to Sponsor - YesDegree - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research ONLYRelocation Paid - YesRecruit From UK onlySalary Details:Annual Salary - £250,000 - £600,000Other Compensation - Base + BonusJob DescriptionQuantitative Developer / Senior Research & Data Engineer - Systematic Trading (London)About the OpportunityAn established quantitative investment organization managing multi-billion-dollar assets is expanding its London engineering team. The firm combines the resources, stability, and track record of a leading investment manager with the agility and technical culture of a high-performance engineering organization.This is an opportunity to work alongside world-class quantitative researchers, traders, and technologists while building the core platforms that power systematic investment strategies. Engineers in this group own critical systems end-to-end and play a direct role in enabling research, simulation, data processing, and production trading.The environment is highly collaborative, technically demanding, and focused on engineering excellence. Senior engineers are trusted with significant ownership and are expected to influence architecture, technical direction, and long-term platform strategy.What You'll Be DoingDepending on team alignment and expertise, responsibilities may include:, • Designing and enhancing real-time market data infrastructure supporting research and trading systems, • Building scalable platforms that enable quantitative researchers to develop, validate, and deploy predictive models, • Creating simulation and backtesting environments capable of supporting large-scale experimentation, • Developing research tooling and frameworks that improve productivity across quantitative teams, • Engineering reliable production systems that bridge the gap between research and live trading, • Building data pipelines and distributed services that support high-volume analytical workloads, • Contributing to the architecture of next-generation trading and research infrastructure, • Optimizing performance-critical systems where latency, reliability, and scalability are essentialTechnology EnvironmentThe engineering stack includes:, • Python, • C++, • Linux, • Distributed Systems, • Cloud Infrastructure, • Data Platforms, • Market Data Technologies, • Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering.Required Qualifications, • Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Operations Research, or a closely related quantitative discipline, • Degree earned from a highly regarded university with a strong academic record, • Approximately 6+ years of relevant software engineering experience, with flexibility for exceptional candidates, • Advanced Python development experience, • Strong proficiency in C++, • Experience designing and building large-scale software platforms, frameworks, or infrastructure, • Deep understanding of software engineering best practices and system design principles, • Excellent verbal and written communication skillsPreferred ExperienceSuccessful candidates will typically have experience in one or more of the following environments:, • Quantitative hedge funds, • Systematic investment firms, • Proprietary trading firms, • Electronic trading organizations, • High-performance engineering teams within leading technology companies Additional experience with the following is highly valued:, • Market data systems, • Quantitative research platforms, • Backtesting and simulation frameworks, • Trading infrastructure, • Distributed computing, • Performance optimization, • Large-scale data processingWhat Makes This Role Unique, • Direct influence on critical engineering initiatives, • Significant ownership and autonomy, • Opportunity to work closely with quantitative researchers and trading teams, • Exposure to complex technical challenges involving large-scale data and systematic investing, • Competitive compensation structure including substantial bonus potential, • Access to a highly experienced leadership team and exceptional engineering peers, • Long-term career growth within a rapidly expanding quantitative organizationCompensationThe compensation package is designed to attract top-tier engineering talent and includes:, • Highly competitive base salary, • Guaranteed first-year bonus for qualified hires, • Total compensation ranging from approximately £250,000 to £600,000+, depending on experience, expertise, and impact, • Relocation support where applicable, • Visa sponsorship for eligible candidates This position is best suited to senior engineers who enjoy solving complex technical problems, building durable platforms, and operating at the intersection of software engineering, quantitative research, and trading technology.IND123

Our client is a leading, founder-led insurance-focused investment manager formed through the merger of two established firms. The Role Our client is seeking a technically strong specialist to take ownership of, maintain, and further develop its client and risk reporting function. This position is ideally suited to an individual who values precision, consistency, and the delivery of high-quality reporting that stakeholders can rely upon with confidence. The successful candidate will have significant autonomy in maintaining, enhancing, and extending the existing reporting framework, with a strong focus on continuous improvement and automation. The organisation is also progressively integrating AI-assisted development tools to improve efficiency and further evolve the reporting capability. This is a full-time, permanent position based in London. Main Responsibilities • Own and maintain end-to-end client and risk reporting processes, from data pipeline management through to final report delivery, • Lead the insourcing of the PDF rendering pipeline, replacing a current third-party provider with an in-house solution, • Work within and contribute to the firm’s R library ecosystem, including database connectivity, security and portfolio data, performance statistics, and ILS modelling, • Perform portfolio data analytics to generate insights into risk exposures, performance, and attribution, • Collaborate with portfolio managers and client-facing teams to understand reporting requirements and translate them into scalable technical solutions, • Ensure data quality by investigating discrepancies, identifying root causes, and implementing robust fixes, • Document processes and develop systems that are resilient and not dependent on individual knowledgeCandidate Profile, • 3–5 years’ experience in a reporting, data, or quantitative analyst role, ideally within asset management, banking, or financial services, • Strong programming skills in Python and R, with experience working within structured codebases beyond ad hoc scripting, • Solid understanding of portfolio risk concepts and their application within reporting environments, • Strong attention to detail and commitment to accuracy, with the ability to identify and investigate anomalies in data, • Experience with tools such as R Markdown, Quarto, Pandoc, or headless browser rendering would be advantageous, • Comfortable working independently and taking ownership of a functional domain, • Knowledge of Insurance-Linked Securities (ILS), reinsurance, or the broader insurance industry would be beneficial, although training can be providedWhat Our Client Offers, • The opportunity to work within a fast-growing segment of the asset management industry, • An international, inclusive, and dynamic working environment that values innovation and initiative, • Ongoing professional development and career growth opportunitiesEqual Opportunities Our client is committed to equal opportunities and values the diverse perspectives and contributions of its employees. The organisation seeks to foster an inclusive environment where individuals from all backgrounds feel welcomed, supported, and able to contribute authentically in the workplace. eFCSoSe

Location: London BarnesContract: Permanent, full timeSalary: CompetitiveThis is a fantastic opportunity for a Coordinator to join our thriving residential Lettings team based in Barnes. As Lettings Coordinator, you will be responsible for providing highly efficient administrative support to the team, undertaking a wide variety of tasks including invoicing, marketing administration, call handling, document preparation and maintaining accurate file systems.The successful candidate will join a friendly and collaborative team comprising a Partner, Negotiator, Property Manager and Assistants. This role offers an excellent opportunity for an experienced administrator to utilise and further develop their skills within the property sector while contributing to the team’s continued success.We offer a highly competitive salary package which includes a fantastic benefits package including a variety of flexible benefits allowing you to choose those that suit your personal circumstances including purchasing additional leave, health cash plans, cycle to work scheme and so on.Main Tasks• Answering the phone and directing calls as required• Dealing directly with clients / applicants looking to let or rent and answer any enquiries• Typing and organising reports where appropriate• Organising the marketing of the properties including arranging photographs and floor plans and EPCs, creating brochures, window cards and organising advertising• Arranging canvassing• Collating statistics• Progressing tenancy paperwork• Carrying out the occasional viewing for lettings when required• Organising contractors to attend to maintenance issued and informing landlords of costs or quotes where applicable• Any other reasonable duties that may be required from time to time• A large proportion of the day will be supporting property management with general tasks• Sending out utility letters and dealing with check in/check outs• Organising service charges for block management• Adding invoices to ReapitWhat Will It Take to Be Successful?We are seeking a candidate with proven administrative or office coordination experience within a residential lettings environment. You will have excellent customer service skills, strong written and verbal communication, and the ability to manage your time effectively.You will be a proactive and collaborative team player, able to work under pressure and meet deadlines. Strong IT skills are essential, including proficiency in Microsoft Word, Excel, PowerPoint and Outlook, along with confidence working with databases and relevant property software.You may have experience in the following: Lettings Coordinator, Lettings Administrator, Property Administrator, Property Coordinator, Residential Lettings Administrator, Estate Agency Administrator, Property Management Administrator, Lettings Assistant, Office Coordinator (Property), Reapit Administrator.REF-228 732

Job Title: Quantitative Researcher Job Description This role offers the opportunity to play a key part in building an internal trading desk, acting as the analytical engine behind trading strategies, algorithms and product innovation. You will work across systematic trading, risk management and pricing, helping to shape how the trading platform operates and scales over time. The position suits someone who enjoys combining rigorous quantitative research with hands-on development in a fast-moving, equities-focused environment. Responsibilities • Develop and refine systematic trading strategies within a mid-frequency, equities-focused environment., • Conduct quantitative research to support and enhance existing trading strategies and identify new opportunities., • Build and improve risk management processes and tooling to support systematic strategies., • Design and implement research infrastructure, including robust back-testing frameworks and scalable data pipelines., • Contribute to inventory management, hedging and pricing strategies to optimise trading performance., • Help expand modelling capabilities across additional asset classes over time., • Collaborate closely with trading and technology teams to translate research into production-ready models and tools., • Monitor and evaluate model performance, making data-driven improvements and adjustments as needed. Essential Skills • At least 4 years of experience in a quantitative research role, ideally within systematic trading, market making, or a quantitative fund., • Proven experience in feature engineering and predictive model building., • Solid understanding of risk management with a track record of working on systematic trading strategies., • Strong experience in equities markets., • Strong development skills in Python or R., • Working understanding of risk management and optimisation software., • Familiarity with market making or trading technology stacks., • Ability to design and implement research infrastructure such as back-testing frameworks and data pipelines., • Strong quantitative and analytical skills with a rigorous, data-driven approach to problem solving. Additional Skills & Qualifications • experience in a retail flow, neo-broker, or market making environment., • Advanced degree in mathematics, statistics, physics, or a related STEM field., • experience with market microstructure is a strong plus., • Comfort working in a small, fast-moving team where you are building systems and processes from the ground up., • Ability to communicate complex quantitative concepts clearly to non-specialists., • Proactive mindset with the ability to take ownership of projects from idea to implementation. Why Work Here? You will join a small, ambitious team where your work has a direct and visible impact on trading performance and the evolution of the platform. The environment encourages ownership, experimentation and continuous learning, giving you the freedom to shape research infrastructure and strategies from an early stage. You will collaborate closely with experienced professionals across trading and technology, gaining broad exposure rather than being confined to a narrow remit. This is an opportunity to work in a fast-moving setting that values initiative, intellectual curiosity and practical problem solving. Work Environment You will work in a modern, technology-driven trading environment focused on systematic, mid-frequency equities strategies. The role is highly collaborative, involving close interaction with traders, engineers and other quantitative researchers. You will use a contemporary quantitative technology stack, with Python and R at its core, supported by risk management and optimisation software, and trading or market making technology platforms. The setting is fast-paced and iterative, with an emphasis on building robust research infrastructure, including back-testing frameworks and scalable data pipelines. The team operates in a professional office environment where the focus is on delivering high-quality research and production-ready tools. Location London, UK Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

Job Title: Quality Advisors or Senior Quality Advisors (depending on experience) Location: Hackney, London Salary & Benefits - £55,000 -£60,000 plus bonus, car or allowance and more! Industry - Energy / Heavy civils Shirley Parsons is working exclusively with a leading Civil Engineering client who are looking to recruit multiple Quality Advisors or Senior Quality Advisors to support a major energy infrastructure project. Quality Advisor Responsibilities • Promoting best practice in quality management aligned with organisational standards., • Supporting site management teams to ensure full compliance with Quality Plans and project requirements., • Conducting regular site inspections and audits to verify work is being completed in accordance with policies, procedures, and quality expectations., • Encouraging robust reporting of nonconformances and advising on effective close‑out actions., • Collating and reviewing Quality statistics and submitting data for reporting purposes., • Analysing quality trends to identify areas for improvement., • Developing and implementing quality campaigns and improvement plans in agreement with management., • Supporting project teams in developing Quality Plans and associated documentation., • Producing and maintaining Quality Plans, procedures, and records to ensure compliance with company and contract standards., • Acting as a champion for the “Quality – Right First Time” initiative. Quality Advisor Qualifications and Experience • Experience within a Quality role or similar., • Membership of a relevant professional body (e.g., CQI), • Strong understanding of ISO 9001 requirements., • Previous experience within heavy civils environment

Oliver Wyman Actuarial – Senior Consultant – UK Life Office: London Company Overview Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialised expertise in strategy, operations, risk management, and organisation transformation. The Actuarial Practice of Oliver Wyman provides customised actuarial services and strategic insight, supporting clients as they strive to exceed their business objectives. Our exceptional client and employee retention exemplify our commitment to relationships built on trust, responsiveness, and clear communication. Oliver Wyman is currently growing its Actuarial department and seeking Actuaries (partially or fully qualified) to join the UK team. This position requires the candidate to work closely with our wider management consulting team, as well as our actuarial teams across Europe and other regions, to independently analyse complex problems and develop innovative solutions for our clients. Job Description You will work alongside, and learn from, Oliver Wyman’s industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wyman’s clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, regulators, private equity firms and many more. You will also have the chance to take the initiative and lead on new and emerging ideas, leveraging the wider Oliver Wyman and Marsh businesses. Potential projects may include: • Capital and financial reporting, leveraging the tools available and developed by Oliver Wyman globally. This will also cover capital optimisation, IFRS 17 and understanding the latest regulatory changes, • Risk management and support, including validation, risk appetite reviews and oversight, as well as emerging practice on climate risk, • New business propositions and life and PRT/ annuity product development including modelling, valuation analysis and strategy support, • Mergers & acquisitions due diligence including assumption review, management support and strategy, model build, and development of projected UK statutory distributable earnings, Actuarial Appraisal Values and so on, • Transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow, • Actuarial model conversions and optimisation and help clients undertake wider actuarial transformation, • Client and industry presentations, surveys, case studies and wider marketing support and business development including managing proposals, tenders and other stakeholder management, • Development and maintenance of intellectual capital, including involvement with the latest data science techniques and cutting edge methodologies from quantitative finance, • Supporting other business lines within the Marsh family as we continue to build integrated solutions for our clients Skills and Attributes • Bachelor’s or Master’s degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field, • Minimum 3 years of relevant Life Insurance actuarial experience, • Either part or fully qualified actuary (FIA or equivalent), • Knowledge of finance and/or risk management topics, including technical aspects such as Solvency II internal models, ORSA and IFRS 17, • Knowledge of finance and/or risk management topics, including technical aspects such as Solvency II internal models, ORSA and IFRS 17, • Understanding of the insurance industry and the challenges faced by our clients, • Highly motivated and willing to work in a dynamic environment, • Strong background in problem-solving with demonstrable analytical skills, • Outstanding written and oral communication in both formal and informal settings, • Self-starter, strong initiative and the ability to take the lead where appropriate, • Experience in reinsurance, capital, and M&A projects is also highly desirable WHY WORK AT OLIVER WYMAN? Working as part of our global, entrepreneurial company, you will do meaningful work from day one. We are looking for individuals who challenge the norm, and constantly strive to build something new for the firm and the world around us. There's no "one size fits all" - we hire exceptional people and help them thrive through a built-in support network, flexible career paths, and no barriers to advancement. We have a collaborative, supportive and impactful team environment - we want you to bring your authentic self to the team and enjoy working alongside diverse and down-to-earth colleagues who do serious work, but who enjoy what they do. At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments. As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue of $27 billion and more than 95,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.

A high performing and forward looking actuarial department is looking for an analyst with an actuarial background to bolster the team. Strong actuarial presence is at the core of the organisation, across all departments including the Executive team. We are looking for an individual making good progress with actuarial exams to join the team where they will get exposure to all the traditional actuarial roles (capital modelling, pricing, reserving, business planning etc). The ideal candidate will be comfortable interacting with other teams within the business and have a Mathematical/Statistical/Science background within the Insurance industry. There will be opportunities to get involved with forward looking projects using machine learning and data science (depending on experience). Duties And Accountabilities The ideal candidate will get to work alongside senior members of the team across the following activities: • Business Planning & Capital Modelling – a bespoke internal model written in VB.NET is in use for Solvency II purposes. The model is used for capital setting, reinsurance purchasing, business planning, risk appetite setting and monitoring on a monthly basis., • Setting parameters for and running model on a monthly basis to monitor risk against pre-defined appetite and tolerances., • Solvency II: analysis and reporting., • Reserving: full quarterly analyses using ICRFS including confidence intervals and monthly actual versus expected exercises., • Pricing support: ad hoc pricing using frequency severity analysis in R, • Market analysis., • Processing of data from external economic scenario generator and analysis of monthly investment performance., • Opportunity to support the maintenance of pricing models on our new platform (hx Renew), which relies on understanding and day to day use of Python., • Undertake specific project work and other related tasks to support the work of the Actuarial team as required. Skills, Knowledge And Experience • Made progress with actuarial exams / part qualified, • Demonstrable actuarial experience preferably in a Lloyd's environment, • Relevant statistical/data manipulation/data analysis skills, • Relevant academic background (preferably in Maths/Statistics/Science), • Highly proficient in required IT packages (Pyramid, Power BI an advantage), • Good organisation and planning, • Good written and face to face communication skills, • Programming skills desirable but not mandatory (Python and R an advantage)

Role :- Your role will involve helping the team to develop and implement algorithms which predict price changes in equity markets as well as constructing portfolios based on quantitative signals . After a period , you will be able to develop and implement these yourself. Requirements :- PhD in a hard science from a red brick University. You must have a background in time series analysis , statistics , DSP, reinforced learning , or applied mathematics . You must be able to program confidently in Python , C++ or Matlab . Strong programming ability is an important component of this job. You should be able to demonstrate an interest in modelling and implementing quantitative equity strategies and of equity data such as market and fundamental company data. Apply:-Please send a PDF resume to quants@ekafinance.com

Pharmacometrics Lead, AI and Machine Learning We are looking for an innovative and agile Pharmacometrics Lead to join a Quantitative Clinical Pharmacology group. About the role You will lead the Pharmacometrics AI and ML strategy to support the development of a growing portfolio. This includes dose selection, trial design, extrapolation where appropriate, PIP development, and the ongoing evaluation of emerging clinical data across programs. What you’ll be responsible for • Developing, implementing, and leading AI and ML strategy within Pharmacometrics and Quantitative Clinical Pharmacology, • Evaluating and adopting emerging technologies across pharmacometrics and quantitative clinical pharmacology, • Performing hands-on AI and ML, population PK/PD, exposure response modeling, and clinical trial simulations on project teams, • Delivering submission‑ready, fit‑for‑purpose pharmacometrics analysis plans and reports, • Initiating and overseeing outsourced pharmacometrics and AI and ML work, with responsibility for internalizing activities where appropriate, • Supporting and mentoring the development of the pharmacometrics team from both a scientific and technical perspective, • Applying state‑of‑the‑art methodologies to optimize drug discovery and development, • Working across global regulatory pathways, including engagement with health authorities and external working parties, particularly in Paediatrics, Neurology, and Immunology, • Partnering closely with QCP Leads to ensure full integration of pharmacometrics into development programs, • Promoting MID3 principles internally and externally What we’re looking for • PhD or MD in pharmaceutical sciences, statistics, engineering, or a related discipline, • 8+ years of industry experience in pharmacometrics, with at least 2 years applying AI and ML in drug development, • Strong hands‑on expertise in population PK/PD, disease progression modeling, and clinical trial simulation, • Deep understanding of Bayesian methodologies and model‑based meta‑analysis, • Practical experience with R, Python, Matlab, NONMEM, or related pharmacometrics tools, • An agile mindset with the ability to prioritize and adapt across multiple projects, • Excellent communication, collaboration, and presentation skills Interested in shaping the future of Pharmacometrics through AI and ML? This role offers the opportunity to lead scientifically, influence strategy, and work across global development programs.

Role:- • Develop systematic trading models across FX, futures., • Alpha idea generation, backtesting, and implementation, • Assist in building, maintenance, and continual improvement of production and trading environments, • Evaluate new datasets for alpha potential, • Improve existing strategies and portfolio optimization Requirements:- • 4+ years of experience in quantitative trading, ideally in FX or futures, • PhD in mathematics, statistics, physics or other quantitative discipline., • Experience with alpha research, portfolio construction and optimization, • Experience building statistical/technical, fundamental, and data driven signals, • Extensive experience in systematic macro and FX strategy development, using futures., • Experience working on/building medium/high frequency systematic strategies, • Strong experience with data exploration, dimension reduction, and feature engineering, • Experience managing and running risk is a strong plus., • Confident Python coder Apply :- Please send a PDF resume to quants@ekafinance.com

Lead the development of forecasting, modelling and analytical capability within a high-growth digital infrastructure and market intelligence environment, focused on long-term demand, capacity and infrastructure planning. Head of Infrastructure Forecasting & Analytics London Hybrid (c.2 days per week in office) Circa £90,000 Base Salary + Bonus + Benefits We are partnering with a highly regarded international intelligence and media business as they build a data and forecasting platform focused on one of the fastest-growing infrastructure markets globally. This is a rare opportunity to join at an early stage and play a leading role in building the forecasting and modelling capability. Operating within an established business but with the pace, autonomy and influence of a scaling start-up, the successful individual will help shape forecasting methodologies, analytical frameworks, product direction and long-term intelligence strategy. The role will suit an individual who combines strong quantitative and analytical capability with commercial awareness, leadership skills and the ability to communicate complex insight clearly to senior stakeholders. The Role Key responsibilities will include: • Developing and owning forecasting and modelling frameworks, • Building and leading a specialist analytics capability, • Producing market sizing, demand and capacity forecasts, • Working closely with commercial, product, research and leadership teams, • Supporting the integration of predictive analytics, AI and machine learning capability, • Translating complex analytical outputs into commercially valuable insight, • Helping shape the long-term analytical and product roadmap The Person We are particularly interested in individuals with experience across forecasting, modelling, predictive analytics, capacity planning and commercially focused analytical environments. Candidates may come from infrastructure, operational, utilities, telecoms, energy, digital or other complex data-led sectors where forecasting and strategic insight play a key role in decision-making. The successful individual is likely to possess strong quantitative grounding, ideally supported by a degree within Mathematics, Statistics, Economics/Econometrics, Engineering or a similarly analytical discipline, alongside experience leading teams or analytical functions and communicating insight to senior stakeholders. Exposure to AI, machine learning, econometrics or advanced modelling techniques would also be advantageous. Why Join? • Opportunity to build something from the ground up, • Significant influence over product and forecasting strategy, • Fast-growth market with strong long-term investment, • High visibility internally, • Combination of strategic, technical and commercial leadership, • Backed by an established international business with significant growth ambitions

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user value? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems. Working closely with cross-functional partners, you will help turn ambiguous challenges into measurable outcomes that improve how researchers discover and use knowledge. Responsibilities • Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding., • Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline., • Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI., • Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation., • Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value., • Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement., • Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems., • Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences. Requirements • Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area., • Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google’s Gemini, including fine-tuning LLMs and/or SLMs., • Strong Python skills and a habit of writing clean, maintainable, well-tested code., • A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement., • Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets., • Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib., • The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality., • Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

About Us: AmpsTek – a global technology leader since 2013 – is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact. With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed. Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results. Role : Production Support Engineer Location : London, UK (Onsite 5 days/week) Contract (InsideIR35) Minimum number of relevant years of experience: 6 Detailed Job Description: -We're looking for an individual to join our team based in London, Battersea area. -They will take on end-to-end ownership of incident and problem management, ensuring reported issues are analysed and resolved within defined SLAs across POS for our Client Retail stores. -The expectation is for the individual to prioritise revenue-impacting incidents, drive root cause identification for recurring issues, and manage the full change request process for the POS application. • A key part of the role involves hands-on debugging and troubleshooting of issues spanning Java-based microservice backends and Swift POS clients — including log analysis, service dependency tracing, and identifying failure points across distributed systems. -The individual will be expected to diagnose issues at the code and infrastructure level and collaborate closely with engineering teams to drive timely resolution. -They will provide production support during releases and upgrades, and serve as a technical point of contact for POS-related queries. -The role also requires extending support during critical business periods such as NPI, NSO/NCO, festivals, promotions, and peak seasons. -Effective escalation and coordination with internal and external teams is essential, alongside the generation of management-level reports and statistics for research and analysis, daily handover reporting to the next working shift, and seamless coordination among shift resources to ensure continuity of operations. -The resource will be based onsite in London Battersea office and should be flexible to be scheduled in five days anywhere between Monday to Sunday, covering 9am-6pm BST/GMT.

AI Engineer or Senior AI Engineer | AI Tech Start-Up | £60k-£100k DOE + Sizeable Shares | London/Hybrid (1 day a week in office) We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer or Senior AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency. The Role You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical AI Engineering position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of a suitable AI Engineer or Senior AI Engineer include: • Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred., • Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more., • Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands-on role in architecting and delivering real-world deployments.

Our client is a trader of Commodity and Energy products including, Gas, Power, LNG and Oil, based in Central London. They offer a unique chance to work within a growing and diversifying business, with a strong commercial appetite. We are looking for an experienced analyst to join our clients Commercial Risk team, with a focus on supporting the Gas, LNG, Power & Emissions trading teams. This Trading Floor based role offers exposure to all parts of the business. From partnering the front office, to various parts of the middle and back office e.g. Risk, Finance, Credit, IT and more. The team provides a key function to the business, supporting the management and monitoring of the company’s Risk exposures and valuations. The role requires a broad knowledge base, from understanding market movements and trading strategies across various commodities, to helping to maintain and improve ETRM applications. The role requires deep insight into commodities trading and risk management; physical/paper exposure management, FX exposure, VaR, P&L valuation. The role can expand with time to bring exposure to other commodities, such as Crude, Oil Products, Biofuels, Refining and develop further leadership accountabilities, as well as an exceptional opportunity to work on LNG, and work towards strong career development including opportunities in the Front Office! As the Senior Commercial Risk Analyst, you will be: • Responsible for the Gas, Power, LNG, Emissions, FX teams’ daily position and P&L reporting, providing commentary on key value generators and changes. Attributing and communicating in a meaningful way., • Review trading books are within Trading Delegations of Authority, and to ensure the hedging is carried out correctly each day, including hedging of trading FX exposure., • Monitor traders exposures and adherence to Delegation of authorities and risk limits, • Perform daily hedge process as required., • Daily interaction with relevant trading desks and other front/middle office departments to support business risk management requirements., • Provide regular commentary on book performance and strategy, showing clear understanding and control to a variety of audiences., • Provide management information and analysis as required and to proactively seek to provide business beneficial commercial analysis., • Responsible for weekly/monthly/quarterly controls and input into financial close processes as required for designated business area., • Support the wider team by utilising cross cover capabilities for other team members and to support overall team flexibility. EDUCATION, SKILLS &EXPERIENCE REQUIRED: • Degree level education, preferably in Business/Finance/Banking/Mathematics/Statistics/Engineering or with appropriate working experience., • Proven experience in a specific commodity; Gas, Power, LNG, Emissions in a risk or front office role., • Deep understanding of P&L attribution and valuation, • Commercially aware with proven ability to provide input to new business initiatives and models., • Good communication skills, ability to interact with a variety of people. Analytical and detailed oriented mindset, • Experience of managing or supporting significant business growth, • Able to take, and maintain, an independent approach and challenge where appropriate.

Who Are You? An experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead one Phase I-IV clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is but always push clinical development forward to what it could be. You motivate others to do the same. Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. Position Overview: Our Principal Biostatisticians provide statistical and development support and influence for the associated client's trials providing expertise into processes, clinical development plans, concept sheets and protocols, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning & deep learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. Responsibilities As a Principal Biostatistician, your responsibilities will include: • Provide statistical input into planning and analysis of Indirect Treatment Comparison (ITC)., • Support Health Technology Assessment (HTA) dossier submission and negotiation., • Create specifications and perform analyses such as time-to-event and longitudinal analysis., • When in the Lead Biostatistician role for a project: manage biostatisticians and statistical programmers with respect to statistical strategy, deliverables, and processes., • Generate the use of innovative statistical methodology approaches by identifying, adapting, developing, or using optimal statistical research methodologies and techniques appropriate to each project, and contribute internally and externally to the development and visibility of the company and of the Clinical Services department through her/his expertise and customer orientation., • Develop strong collaboration and communication with sponsor cross-functional teams and sponsor Biostatistics management. Qualifications Here at Cytel we want our employees to succeed, and we enable this success through consistent training, development, and support. To be successful in this position you will have: • PhD in statistics or master’s degree in statistics or related subject required along with clinical trial experience., • Relevant experience in statistical or biostatistical analysis supporting HTA activities., • Understanding of the HTA-related guidelines., • Excellent verbal and written communications skills., • Ability to organize multiple work assignments and establish priorities, • Working SAS & R programming knowledge required., • CDISC knowledge required. Experience in R is preferred. Remote Locations: United Kingdom, Spain, Netherlands, South Africa, Ireland, Sweden, Poland, Belgium

This role is a Senior Analyst role within Chaucer’s Exposure Management Team, with a specific focus on Chaucer’s Property Treaty business. The primary objective of the role is to provide the catastrophe risk modelling service to the Property Treaty Underwriting Teams. This includes day-to-day account modelling for underwriting and pricing using internal and external modelling platforms, analysing and explaining modelled results, monitoring aggregate usage, maintaining a complete and accurate portfolio of accounts and supervision of the external outsourced resources. The Senior Analyst will be responsible for ensuring the completeness and accuracy of the data and subsequent analytics. They will need to manage relationships with outsourcing partners and provide training where necessary. The role also requires working closely with the Property and Treaty Lead and underwriting teams to support the blueprinting of potential growth in the portfolio for appetite setting and producing detailed account level analytics to support them in the underwriting processes. This role will include line management responsibilities; however, this will not be immediate. The intention is that the Senior Treaty Analyst will eventually be required to support in the daily supervision and development of the Treaty Analysts, in addition to conducting Annual Performance Reviews & Objective setting. Main duties • Utilising various catastrophe modelling platforms to process, model and analyse aggregate and detailed exposure data, • Providing analysis and insight into the model outputs to underwriters at both an individual account and portfolio level, • Monitoring portfolios against risk appetite measures, • Overall responsibility for maintaining an in-force portfolio and ensuring the completeness and accuracy of the data and results, • Working closely with underwriters on a daily basis to understand their priorities and manage their expectations accordingly, • Working closely with the Treaty Analysts to understand the team’s priorities and deadlines, • Create and produce regular exposure metric reports, • Assisting Property and Treaty Lead in adhoc requests, • Take a leading role in appetite planning for future years, • Continuously work with Property and Treaty Lead to identify efficiencies within processes, • Assist in management of Outsourcing team workflow and ensuring process manuals are maintained and updated when required., • Understand, investigate and report on any and all loss movements during monthly roll up, • Understand how the "Chaucer view of risk" relates to the business written by the Property Treaty Division and be able to explain this to stakeholders, • Provide management, training and development of Analysts and Outsourcing Team Regulatory responsibilities • Participating in the wider activities of the Exposure Management Team, • From time to time, taking part in relevant projects throughout the wider business, • Keeping up-to-date with new science and technological developments in the Catastrophe Management field Performing other related duties to meet the on-going needs of the organisation, • Take a leading role in presenting reports and data to key stakeholders Skills, Knowledge and Experience Experience • Willingness to work across different teams and continuously learn and adapt, • Direct experience with analysing and pricing catastrophe risk, • Previous experience in the (re)insurance industry; preferably with Property Treaty modelling. Skills • Excellent numeracy skills with a good understanding of probability and statistics, • Analytical abilities coupled with excellent attention to detail, • Have the ability to communicate effectively, • Written and oral communication skills, • Advanced knowledge of Microsoft Excel and MS SQL, • Proficient understanding of insurance and reinsurance financial terms, • Proficient in using at least one vendor catastrophe platform ideally RMS, • Understanding of the statistical methodologies underlying catastrophe models, • Knowledge of GIS and/or other mapping software (desirable), • Knowledge of or interest in programming languages, including R and Python (desirable) Qualifications Experience • Experience in a similar exposure management role, • Educated to degree level preferred but not essential for an excellent candidate (desirable), • Other relevant professional qualifications such as ACII, CRM or CCRA (desirable) Personal Skills • Willingness to use initiative to solve problems, • Attention to detail in a data intensive environment, • Excellent communications skills with the ability to present complex information clearly and concisely, • Good interpersonal and influencing skills with the ability to build effective relationships, • Professional attitude to meeting deadlines and objectives, • Highly motivated and prepared to go the extra mile ABOUT US Chaucer is a leading insurance group at Lloyd’s, the world’s specialist insurance market. We help protect industries around the world from the risks they face. Our customers include major airlines, energy companies, shipping groups, global manufacturers and property groups. Our headquarters are in London, and we have international offices in Bermuda, Copenhagen, Dubai and Singapore to be closer to our clients across the world. To learn more about us please visit our website.

Data & AI Director Data & AI Consulting Firm Build. Teach. Deploy 📍London, Hybrid 💰£90k - £120k We are partnered with a PE Backed global Data & AI Consulting firm looking to completely re-imagine how they train and deploy their talent pools. You’ll start by helping shape a new generation of engineers — people learning how to build properly across data, AI, and modern systems. But this isn’t about slides or theory. It’s about teaching what actually works in production, based on your own experience. Then the role evolves. As those engineers move into client environments, you go with them — not as a trainer, but as a consultant. You’ll stay hands-on, work directly with end clients, and take ownership of delivery. You’ll lead from the front, guiding both the technical direction and the people you’ve helped develop. It’s a deliberate blend: build capability, then deploy it. The people who tend to lean into this are engineers with a strong foundation in AI, data, or backend systems who’ve already operated in consulting or client-facing environments. They’ve built real systems, understand the gap between theory and production, and naturally find themselves mentoring others — whether that’s through workshops, internal training, or just being the person others go to when things get complex. You don’t need to have been a full-time instructor. But you do need to care about how things are built, how they’re taught, and how they actually land in the real world. What makes this different is that you’re not stepping away from engineering to teach, and you’re not stuck in delivery without broader impact. You get both. You help shape how people are trained, and then you see that training hold up — or break — in real client environments, and refine it accordingly. If you’re starting to enjoy the mentoring side of engineering, but don’t want to lose the technical edge or the pace of real-world delivery, this is a pretty rare way to do both without compromise. Skills & Experience Required • Educated to degree level in a STEM subject; Mathematics, Statistics, Engineering, Chemistry, Physics, Computer Science, Machine Learning, • A commercial background in building and delivering data science and AI solutions end to end, • Ability to lead teach and deploy teams of engineers, data scientists and AI engineers onsite with end clients, • Strong consulting skills, ability to work directly with end customers on shaping data and AI solutions, overseeing delivery from deployed teams

Role Overview We are seeking a Senior Model Validation Quantitative Analyst to provide independent review and challenge of quantitative models used across risk, pricing, capital, and stress testing. The role sits within the Model Risk / Quantitative Analytics function and plays a critical part in ensuring models are theoretically sound, well-implemented, and compliant with regulatory expectations . You will work closely with model developers, risk stakeholders, and governance committees, contributing to robust model risk management across the firm. Key Responsibilities • Perform end-to-end independent validation of quantitative models, including:, • Conceptual soundness and theoretical foundations, • Assumptions, limitations, and appropriateness of use, • Empirical testing, benchmarking, and sensitivity analysis, • Validate models across areas such as market risk, credit risk, capital, stress testing, and pricing (scope depending on experience)., • Review model implementation (code, calculations, data usage) and identify model risk issues., • Produce clear, well-structured validation reports for senior governance forums., • Provide constructive challenge to model developers and propose remediation actions., • Support regulatory reviews, internal audits, and ongoing model governance activities., • Contribute to the continuous improvement of model validation standards and methodologies . Who We’re Looking For – Technical Expertise • Strong academic background in mathematics, statistics, econometrics, physics, engineering, or quantitative finance ., • Solid experience in model validation, quantitative analytics, or model risk management within banking, consultancy, or financial services., • Strong understanding of:, • Statistical modelling and time-series analysis, • Risk modelling frameworks (e.g. VaR, stress testing, PD/LGD, capital models), • Proficiency in Python, R, or similar quantitative programming languages ; ability to review and challenge model code., • Familiarity with model risk governance and regulatory expectations (e.g. SR 11-7, ECB, PRA, Basel)., • Ability to independently design validation tests and benchmarks. Who We’re Looking For – Behavioural Traits • Intellectually curious with a strong instinct to challenge assumptions and dig into model behaviour., • Confident but collaborative , able to engage constructively with model developers and senior stakeholders., • Clear and concise communicator, capable of translating complex quantitative topics for non-technical audiences., • High standards of professional judgement, independence, and integrity ., • Well-organised, resilient, and comfortable managing multiple model reviews in parallel., • Motivated to develop technical depth while contributing to broader model risk strategy. WHO WE ARE Our Expertise We provide high-impact consulting across five key domains: • Quantitative Finance — Model design, implementation and validation., • Risk & Regulatory — Risk frameworks and regulatory transformation., • Data & AI — Data optimisation and AI adoption with strong governance., • Digital & Technology — Cloud, engineering, automation and digital solutions., • Transformation — Change management and large-scale delivery programmes. Our Commitment Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities. Benefits & Inclusion We offer a competitive UK-aligned package, including: • Competitive salary and performance bonus, • Private medical insurance, including mental health support, • Pension, • 25 days annual leave, • Schemes: Cycle to work, Perks at work, Home and tech, • Training and development opportunities We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.

Role description We are seeking an experienced Data Acquisition Manager to be a part of our new Risk Intelligence Data Teamand lead all aspects of our data supplier & sourcing domain. Responsibilities for this critical role include developing a clear data source acquisition strategy, managing 3rd party suppliers, automating the data acquisition pipeline, and establishing source management tooling & governance across our Active Data Layer programme. You will oversee the management and evolution of Risk Intelligences data supply chain. This includes working across various data acquisition methods, from 3rd party supplier selection and management, automation of data source monitoring and data extraction, and broader web search techniques. This role will involve working closely with Engineering, Product, and Operations, as well as maintaining good communications and engagement with a wider group of business stakeholders. The overall objective of the Head of Data Acquisition will be to maintain a comprehensive but cost-effective data supply and library of sources covering Sanctions, PEPs, and Adverse media, that ultimately improves the accuracy of Risk Intelligence's World Check screening solutions. Key Responsibilities Data source automation • Develop and own the strategy for data acquisition, determining how best to access data sources needed to achieve data performance for screening customers., • Together with engineering teams, develop tools, agents, and techniques for monitoring and acquiring data., • Collaborate with other members of the Product Data Team to integrate data acquisition processes with data curation & enrichment orchestration.Data source evaluation framework, • Create a clear and logical framework for discovering and evaluating new sources of data. Work together with the RI Operations stakeholders to develop and implement new operating processes., • Together with Data & Product stakeholders, create and implement a Data Improvement and ROI decision workflow that works agentically across the data source landscape.Data source management, • Together with Data & Product stakeholders, create and implement a Data Improvement and ROI decision workflow that works agentically across the data source landscape.Data supplier management, • Undertake vendor selection for new data suppliers and data sourcing partners as required., • Design and implement a data vendor SLA policy which establishes quality controls, rights management, and data governance procedures.Data acquisition budgeting, • Together with Data & Product stakeholders forecast and calculate data sourcing budgets matched to data coverage and screening performance taking into account the different areas of cost, such as Agent cost, data sources, 3rd party data purchase., • Work with Product leads on application of budget against data acquisition activities, with a clear link to downstream effect of spend.Required Experience & Qualifications, • Bachelor's, Master's, or PhD (preferably in field such as Computer Science, Mathematics, Statistics, Financial Engineering, or equivalent)., • Significant professional experience (typically 7-12+ years) in relevant data roles, or related areas., • Demonstrated success working with technical teams or senior specialists in data automation environments., • Strong understanding of data acquisition techniques -including LLMs, crawlers, bot blocking, agentic architectures, managed services, and outsourcing., • Hands-on experience working with data suppliers and 3rd party providers of data, data automation services and solutions., • Familiarity with data scraping, source management, and data automation technologies., • Excellent communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences.Preferred Experience & Qualifications, • Experience in B2B data or RegTech environments., • Experience managing data teams, specifically data supply and acquisition teams and activities., • Experience in working with data providers (BPOs, data aggregators), with specific reference to data within the Financial Crime and Regulation space., • Experience with Generative AI and agent design / implementation., • Experience of data lineage requirements and compliance / audit frameworks.What Success Looks Like, • All data sources documented and monitored for core KPIs and meta information, • Rolling assessment and improvement of data sources based on value, accessibility, and coverage., • Rapid source evaluation and implementation process for new / alternative sources., • Stakeholders across engineering, operations, and product view the function as a strategic partner and trusted authority.Career Stage: Manager London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Clinical trials are high stakes, demanding high standards. Veramed sets this standard by bringing together the sharpest minds in data management, biostatistics and programming, with cutting-edge technology and proven processes. Our globally connected, caring team delivers quality, precision and collaboration, earning trust through consistency and integrity. From rapid-fire project work to long-term partnerships, Veramed brings the right minds to every challenge. The Role The purpose of this role is to provide high‑quality statistical support. As a Senior or Principal Statistician, you may also take on a supervisory role, including line management and/or project leadership, depending on experience and interest. This role is well‑suited to someone with significant experience in clinical studies and regulatory submissions, who is comfortable working directly with clients - including situations where there is no internal statistical support. You will be confident working independently, managing your own workload, and contributing across multiple projects and clients. Strong communication skills are essential, including the ability to explain statistical concepts to non‑statisticians and to present clearly and confidently to client teams. Key Responsibilities • Statistical oversight at study level, • Providing project‑level statistical input across clinical studies, • Review and oversight of statistical deliverables from other CROs, • Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs), • Study design activities, including sample size calculations, ad‑hoc and exploratory analyses, • Additional statistical support as required across client projects, • Confident coding in R, SAS, or other non‑SAS languages (or a willingness to learn) Experience & Skills Essential: • Senior to Principal level experience in statistics within a clinical research environment, • Experience working on clinical studies and regulatory submissions, • Comfortable working independently with clients, often without in‑house statistical support, • Strong communication skills and the ability to explain statistical concepts to non‑statisticians, • Curious, proactive, and motivated to continuously learn and improve Desirable: • Study design and sample size experience, • Regulatory experience, • A basic understanding or willingness to learn Bayesian methods and causal inference modelling, • Experience within Oncology and/or CNS therapeutic areas Opportunities at Veramed • Presenting at conferences and authoring publications, • Developing and implementing innovative statistical methodologies, study designs, and efficiency‑optimisation ideas, • Line management and peer mentoring opportunities, • Contributing to business process improvements and internal training, • Supporting initiatives linked to employees, the environment, and local communities as part of our B Corp accreditation What to Expect • A warm, friendly working environment where you can thrive both personally and professionally, • Supportive, open‑door management that actively encourages development, • Exposure to a wide variety of clients and projects, including collaboration with leading global pharmaceutical companies, • The opportunity to work with a truly unique CRO that does things differently — valuing people, relationships, and quality, • The chance to genuinely own your role and shape your career path If you’re independent, curious, and ready to make a meaningful impact within a forward‑thinking organisation, we’d love to hear from you. Veramed is a B Corp accredited company which means that we use the power of business to build a more inclusive and sustainable economy meeting the highest verified standards of social and environmental performance, transparency, and accountability. As an organisation that has people at the heart of it, Veramed is committed to creating a diverse environment and is proud to be an equal opportunities employer. We foster a working culture where employees have integrity, honesty and respect for one another without regard to race, national origin, religion, gender identity or expression, sexual orientation or disability. All qualified applicants will receive equal consideration for employment.

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

Job Purpose Join ICE's Global Quantitative Research team to spearhead the design and implementation of advanced quantitative models for pricing, volatility surfaces, and risk management. Leverage your strong background in stochastic calculus and probability theory to develop robust models, and translate them into efficient, production-grade C++ code integrated into our core quantitative library. Collaborate across business lines, including Clearing, Exchange, and Data Services, while mentoring team members and driving innovation. Responsibilities Quantitative Research: Lead research efforts in advanced pricing, volatility, and risk models. Model Implementation: Translate sophisticated mathematical models into robust, production-level code-primarily in C++. Collaboration: Work across multiple business lines, ensuring models meet both research needs and operational demands. Knowledge and Experience Master's or PhD degree in Computer Science, Mathematics, Statistics, or a related field. Expertise in advanced mathematics (stochastic calculus, probability theory) Exceptional quantitative and analytical skills. Extensive experience in C++ and Python Strong verbal and written communication skills in English. Preferred • Work experience in options pricing theory, • Work experience in Data Analytics and Machine Learning, • 3 Years of experience in a related field.

Role :- The ideal candidate is willing to develop new trading strategies utilizing the fund’s proprietary software, as well as customizing their current trading strategies. Requirements:- • Minimum 2 years of experience as a Systematic Trader with a verifiable 2+ year track record as a Portfolio Manager or Proprietary Trader, • Excellent Return on Capital (ROC), • Programming skills in Python/C++, • Experience at a proprietary trading firm, hedge fund, or bank, • B.S., M.S. or PhD in engineering, mathematics, physics, statistics, computer science. Apply:- Please send a PDF CV to quants@ekafinance.com