Mathematics jobs in LondonCrear alertas

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Mathematician (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Math team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging math problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex mathematics problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning #math

Join Barclays as a Delta1 Systematic Trading RTB, where you will support electronic trading platforms specifically focusing on the Delta1 systems. The successful candidate will have experience modernizing production environments and will be comfortable working with technologies such as Kafka, DevOps tooling, and monitoring platforms. To be successful, you should have: • Degree in an IT, Engineering or Mathematics-related discipline, • Experience with devops tools/technologies such as Kubernetes/OpenShift/Grafana/Prometheus/Elastic/Kafka, • Experience of maintaining and supporting client/exchange connectivity platforms Some other highly valued skills may include: • Exposure to Low latency trading applications on Unix/Linux platforms, • Knowledge of ITRS Geneos including netprobe deployment/configuration, • Exposure to Gitlab, Maven, Teamcity You may be assessed on key critical skills relevant to success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills. This role is based in London. Purpose of the role To effectively monitor and maintain the bank’s critical technology infrastructure and resolve more complex technical issues, whilst minimising disruption to operations. Accountabilities • Provision of technical support for the service management function to resolve more complex issues for a specific client of group of clients. Develop the support model and service offering to improve the service to customers and stakeholders., • Execution of preventative maintenance tasks on hardware and software and utilisation of monitoring tools/metrics to identify, prevent and address potential issues and ensure optimal performance., • Maintenance of a knowledge base containing detailed documentation of resolved cases for future reference, self-service opportunities and knowledge sharing., • Analysis of system logs, error messages and user reports to identify the root causes of hardware, software and network issues, and providing a resolution to these issues by fixing or replacing faulty hardware components, reinstalling software, or applying configuration changes., • Automation, monitoring enhancements, capacity management, resiliency, business continuity management, front office specific support and stakeholder management., • Identification and remediation or raising, through appropriate process, of potential service impacting risks and issues., • Proactively assess support activities implementing automations where appropriate to maintain stability and drive efficiency. Actively tune monitoring tools, thresholds, and alerting to ensure issues are known when they occur. Assistant Vice President Expectations • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions., • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others., • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes., • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues., • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda., • Take ownership for managing risk and strengthening controls in relation to the work done., • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy., • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively., • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience., • Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Havering Maths Academic Mentor Maths Support Role Location: Havering Contract: January 2026 July 2026 (Term-Time Only) Interviews: ASAP Are you a Maths graduate looking to gain experience in education? A well-regarded secondary school in Havering is seeking a Maths Academic Mentor to support students across the mathematics department. As a Maths Academic Mentor, youll work with pupils in KS3 to KS... * * * * * * * * ZIPC1_UKTJ

Fully-Paid, School-Based Trainee Mathematics Teacher | Hammersmith & Fulham | September 2026 Are you a highly academic Mathematics Graduate ready to step into teaching? Want to train in an Outstanding Secondary School, earn a salary while you learn, and gain QTS + PGCE with all training costs covered? This Trainee Mathematics Teacher role in Hammersmith & Fulham is the ideal route into education f... * * * ZIPC1_UKTJ

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers. Key Responsibilities • Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights., • Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions., • Prototype and validate new technical ideas, bringing cutting-edge research into production., • Work with clients to translate insights into actionable strategies that drive growth., • Implement production-level coding practices, including unit testing and documentation., • Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For • 3+ years’ experience working with Python for data preparation, aggregation, and transformation., • Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media., • Proven experience applying ML/statistical methodologies to large datasets (>1TB)., • Experience building NLP and Computer Vision products with engaged user bases., • Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications., • Skilled in explaining technical findings to business audiences in clear, concise English., • Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship.

Graduate Trade Desk Engineer August 2026 Start Quant Capital is recruiting a Graduate Trading Technology Engineer for a leading proprietary trading firm based in London. The firm combines advanced technology, applied mathematics, and rigorous research to trade global financial markets. Technology is a core competitive advantage, with a focus on performance, automation, and reliability. You will be joining a collaborative environment where traders, researchers, and engineers work closely to solve complex problems in real time. This role blends technical development, analytical problem-solving, and live trading support. You will help ensure trading systems operate smoothly while contributing tools, automation, and process improvements that support quantitative strategies. Working with traders, quants, and engineering teams, you will monitor trading systems, investigate issues, assist with strategy rollouts, and streamline workflows through automation. The role provides early exposure to live trading environments and suits a graduate who enjoys numerical problem-solving, fast-paced decision-making, and building practical technical solutions. Key Responsibilities • Provide technical and functional support to traders and researchers, • Develop and maintain internal tools, automation, and trading-related applications, • Assist with testing, validation, and deployment of new releases and strategy changes, • Analyse system metrics and trading data to identify root causes of issues, • Collaborate with engineering teams to enhance system robustness and performance Requirements • STEM degree from a strong academic institution, • Strong numerical, logical, and analytical skills, • Excellent Excel and data-handling ability, • Interest and some experience in programming or technical problem solving, • Familiarity with Linux or technical systems is beneficial, • Ability to perform effectively in high-pressure, time-critical environments, • Strong interest in financial markets and trading technology Additional Information Location: London Start date: August 2026 Office-based role aligned to trading hours with early starts This position offers an exceptional entry point into a front-office trading environment, providing exposure to traders, quantitative research, and advanced trading systems.

A Tier 1 technology-led multi-strategy trading firm is appointing a Quantitative Product Strategist into a highly visible, centrally positioned front-office role. This is a discreet search, driven by the continued expansion of the firm’s quantitative analytics platforms across asset classes and trading styles. The role sits within a central quantitative analytics group that partners closely with trading, quantitative modelling, and engineering teams across the firm. The mandate is not to own a trading book or build models in isolation, but to ensure the right quantitative ideas are translated into trusted, usable production systems. This is a genuinely hybrid role, designed for someone who is comfortable operating at the intersection of markets, models, and systems, and who enjoys shaping problems under ambiguity rather than working from fully specified requirements. You will work closely with traders, portfolio managers, and quantitative teams to frame analytical needs, while partnering with engineering groups responsible for live trading, risk, and P&L platforms to ensure correct implementation and prioritisation. This is emphatically not a desk quant, quant research, or pure software engineering role. The value-add is judgement, clarity, and product ownership — not depth in a single vertical or volume of code written. The scope includes ownership and evolution of several front-office quantitative platforms, including: • Risk and P&L analytics used by discretionary trading teams, • User-facing trading and analytics tools, • Core quantitative libraries and their integration into live systems, • New AI-enabled analytics and tooling being rolled out across the firm The role requires constant context switching and close engagement with multiple stakeholders, often under time pressure. Success is defined by correctness, trust, and adoption — not by theoretical sophistication alone. The team operates as a small, senior, low-ego group with significant influence over what gets built and when. While some prototyping or analysis may be required, heavy production development and deep original model research are explicitly not the focus. Requirements • 3+ years’ experience in a front-office or front-office-adjacent quantitative, analytical, or trading-facing role, • Strong quantitative foundation (e.g. quantitative finance, financial engineering, applied mathematics, physics or similar), with credibility in front of traders and quants, • Early-career front-office or front-office-adjacent experience in a quantitative, analytical, or trading-facing role, • Technical fluency with production analytics and data (Python, C++ or similar; SQL and time-series experience a plus), • Familiarity with market data, pricing, risk, and P&L concepts in live trading environments, • Experience working closely with engineering teams to deliver or evolve live systems, • Ability to operate across business, analytics, and technology rather than within a single silo, • Strong communication skills, with the ability to translate between traders, quants, and engineers, • Comfort operating under ambiguity, frequent context switching, and time pressure This search is being conducted discreetly. Further detail will be shared during an initial confidential discussion. To apply, either respond to this advert or send your CV directly to .

Senior Python software engineer - with strong Maths background Are you a software engineer who thrives on building robust, scalable products with a strong foundation in mathematics and analytics? We’re specifically looking for an engineer—not a data scientist—to join ScanmarQED as a Senior Python Software Engineer and play a key role in developing the core technology behind our Pulse platform—a product used by leading companies worldwide to solve complex optimization and modeling challenges. You’ll collaborate with an international team, take ownership of product modules, and help drive innovation in our software architecture. Flexible work options are available in the UK, the Netherlands, or remotely. What will you be doing? • Design, develop, and maintain robust well designed Python-based modules that apply advanced optimization techniques and provide analytics for our Pulse product., • Implement and optimize algorithms for econometric marketing mix modeling, forecasting, and advanced analytics., • Tackle large-scale data processing, model optimization, and real-world forecasting challenges. Build and enhance software capable of efficiently processing large-scale data, focusing on product functionality and performance (please note this role is not about data ingestion)., • Ensure high code quality through thorough unit and integration testing along with well documented code, promoting long-term stability and maintainability., • Apply SOLID principles and appropriate design patterns to ensure scalable and maintainable architecture., • Work with modern technologies including SciPy, NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, and CI/CD tools., • Collaborate with cross-functional teams (data science, consultants, development) across the Netherlands, UK, and US, with a focus on time zone overlap with NL/UK., • Take ownership of key modules and contribute to the continuous improvement of our analytics platform., • Review code, share knowledge, and contribute to best practices within the team. Skills, experience, and education you’ll need • Minimum 5 years of hands-on experience with Python, including scientific libraries (especially SciPy + Pandas)., • Master’s degree in Mathematics, Computer Science, or a closely related quantitative field., • Very strong background in mathematics, analytics, or statistical modelling with a proven ability to implement these using Python and its associated libraries, • Experience in developing analytic and optimization solutions in a product environment., • Valuable: Experience with marketing mix modeling, forecasting, or econometric/statistical modeling., • Valuable: Familiarity with NumPy, SQL, cloud platforms, Docker, Kubernetes, CI/CD tools., • Excellent communication, teamwork, and problem-solving skills. What we offer • The opportunity to shape the analytics engine that drives marketing decisions for global brands., • Collaborate with a highly skilled, international team., • Opportunity to mentor junior engineers or take technical ownership of key modules., • A fast-paced, performance-driven culture with personal attention and growth opportunities., • Training and development opportunities, including conferences and workshops., • A salary matching your knowledge and skills. Company Information ScanmarQED is a leading provider of practical analytical solutions for marketing and sales professionals. We help our clients make data-driven decisions fast when optimizing media plans, forecasting sales, building brand equity, and planning effective price & promotional strategies. We offer the advantages of a personal, highly innovative company combined with the challenges of international, top-tier customers, operating from our offices in the UK, US, CZ and headquarters in the Netherlands. We are an equal opportunity employer; we value diversity at our company; it is an essential part of our success. We do not discriminate based on age, religion, sexual orientation, gender, disability or race.

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics, • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy, • Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Essential skills 🙏 • Experience leading and mentoring other ML engineers, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience taking complete ownership of entire ML systems and data pipelines in large-scale production systems, • Experience building automated data pipelines, • Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Great knowledge of NLP algorithms, • Expertise in Python and PyTorch Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • Lead an ML team that will become the leading specialists in ML-powered education, • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite

ABOUT DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 18 global offices in North America, Europe, Australia, Singapore and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities. ABOUT YOUR ROLE Due to rapid growth, we are seeking to expand our Data Science team and we are looking for Data Scientist Interns (end of studies) to be part of our team based in London. The Underwriting team takes action subsequently in modeling, structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients in a few day to a year timeframe. These roles will allow you to gain knowledge of the insurance industry and the emerging risks (natural catastrophes, cyber…), all while collaborating closely with other internal teams (Software, Operations, Legal and Commercial) and our external partners. At the core of our company’s strategy, your missions will focus on : • Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients;, • Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction;, • Collaborating with the business team to understand client needs and issues to further improve our product offering;, • Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools);, • Working autonomously and pragmatically to make appropriate technical decisions with attention to details. Your missions will evolve in the future as Descartes is growing fast and many exciting projects are waiting for you. It's a unique opportunity to take a closer look inside a fast-growing scale up with huge ambitions ABOUT YOU EXPERIENCE & QUALIFICATIONS • Student from academic institutions, universities or engineering schools with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business;, • Keen interest in climate related topics;, • Highly skilled in statistics, probabilities, applied mathematics and machine learning methods;, • Eye for quality and attention to detail;, • Fluency in English (written and verbal communication) is required;, • Proficiency in Python (e.g. pandas, scikit-learn);, • Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes etc);, • Excellent team player able to work under pressure and respect deadlines;, • Strong desire to learn and commitment to the organization’s mission;, • Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment;, • Motivated to help improving businesses’ and communities’ resilience to climate change. WHY JOIN DESCARTES UNDERWRITING ? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Work in a collaborative & professional environment ;, • Be part of an international team, passionate about diversity ;, • Join a company with a true purpose – help us help our clients be more resilient towards climate risks;, • Attractive remuneration according to the profile, meal voucher, 60% transport reimbursement. At Descartes Underwriting, we cherish the value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2: At home technical online test (Github repository), • Step 3: Remote technical interview with a Data Scientist, • Step 4: In-person team interview to meet our team and discover our offices (held remotely if you are abroad)

C# Developer / Backend Software Engineer C# .Net AWS (Junior - Mid) London to £80k Are you a bright, ambitious C# Developer who enjoys collaborating and working on complex systems with cutting edge technology? You could be progressing your career at a highly profitable, systematic Hedge Fund that invests in sports betting markets whilst enjoying a range of perks and benefits including hybrid working and a sociable team environment. As a C# Developer you'll join a cross functional Agile product team responsible for high-value business critical betting execution systems. You'll be building systems to manage large datasets which can process updates in real-time with high throughput and low latency; these systems are released with high frequency with technology choices that are continuously evolving. There's a focus on backend development with C# .Net and Kubernetes however you will work across the full stack, using TypeScript and React on the client side. You'll take ownership of projects and collaborate with a team of highly skilled engineers as well as business stakeholders, continually learning, assessing new technologies and making recommendations within a flat structure. Location / WFH: You'll be based in fantastic offices in a vibrant area of London with in-house gym and steam room, games room with pool tables and dart boards, library and free high quality catering (breakfast, lunch, dinner) from the onsite chef with flexibility to work from home once a week week (please note that during probation you will be required onsite five days a week). About you: • You're degree educated in a STEM discipline, Computer Science, Mathematics or Physics preferred, 2.1 or above from a top tier university (e.g. Russel Group, Oxbridge, World top 100), • You have C# serverside development skills, including .Net Core and multi-threading, • You have a good knowledge of AWS and Kubernetes, • You have a good understanding of CQRS and Event Driven systems, • The tech stack also includes JavaScript / TypeScript and React for client side applications; experience with any of these would be beneficial but you can pick them up on the job, • You're commercially aware and keen to understand the business impact of what you do, • You have excellent communication, collaboration and problem solving skills, • Ideally you will have an interest in sports with an understanding of betting What's in it for you: • Competitive salary, to £80k, • Pension, • Private medical care and wellness days, • Training and conference budget to support your personal development Apply now to find out more about this C# Developer / Backend Software Engineer (C# .Net AWS Junior - Mid) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

🎓 Graduate Software Developer / Quantitative Developer / Quantitative Researcher 📍 Location: London (Hybrid) 💷 Compensation: Up to £180,000 + Bonus + Benefits 🏢 Client: Prestigious Trading Firm 🚀 Kickstart Your Career in Technology & Quantitative Finance Just graduated and ready to launch your career at the intersection of technology, mathematics, and finance? Join an elite global trading firm where innovation drives everything — no legacy systems, no bureaucracy, just cutting-edge tech and world-class mentorship. You’ll work on greenfield projects from day one, collaborating with exceptional engineers, quants, and researchers to build the systems and models shaping the future of global trading. 🔧 What You’ll Do • 🧠 Design and enhance advanced trading systems and analytics platforms, • 📊 Develop and implement your own quantitative models and research ideas, • 🤝 Collaborate closely with top technologists, quants, and portfolio managers, • 🚀 Learn fast, build fast: develop technical and analytical expertise in a performance-driven culture ✅ What You’ll Bring • 🎓 Degree in Computer Science, Mathematics, Physics, Engineering, or another STEM discipline, • 💻 Strong programming skills in Python, C++, Java, C#, or KDB+/Q, • 🔍 Analytical mindset with a passion for tackling complex, data-driven challenges, • ⚡ Curiosity, drive, and the ability to thrive in fast-paced, intellectually demanding environments 🌟 Why Join • 🌍 Greenfield Work: Contribute to high-impact projects from day one, • 🧠 Exceptional Mentorship: Learn from world-class engineers and quantitative researchers, • 🛠 Cutting-Edge Tech: Access the latest tools, infrastructure, and computing resources, • 📈 Fast Career Growth: A meritocratic culture that rewards innovation and initiative If you’re a motivated STEM graduate eager to make an immediate impact in high-performance technology or quantitative finance, we’d love to hear from you. 📧 Apply now or reach out to me directly:

This role sits within a high-performing engineering group responsible for building and supporting the core systems that underpin real-time trading activity. The successful candidate will work across the full software development lifecycle, contributing to the design, build, deployment, and optimisation of highly scalable, performance-critical applications. Key Responsibilities • Build, test, and enhance high-performance trading systems using C++ and Python, • Translate quantitative models and trading logic into robust production-ready software, • Develop internal tools and interfaces used directly by front-office trading teams, • Improve market data ingestion, exchange connectivity, and real-time data flows, • Contribute to distributed systems, low-latency communication, and performance tuning initiatives, • Take part in design discussions, code reviews, profiling, and CI/CD improvements, • Gain hands-on exposure to algorithmic trading infrastructure, market structure, and risk platforms Candidate Profile • Early-career experience demonstrated through internships, placements, or academic projects (0–2 years), • Bachelor’s or Master’s degree in Mathematics, Physics, Engineering, or a related discipline (graduating between December 2025 and June 2026), • Strong programming capability in C++ and Python, • Solid foundations in data structures, algorithms, and operating systems, • Comfortable working in Linux/Unix environments, • A strong focus on writing clean, efficient, and maintainable code, • Excellent analytical thinking and problem-solving ability, • Clear communicator with the ability to collaborate effectively in team environments, • Genuine interest in financial markets (prior finance experience not required) Desirable Experience • Exposure to distributed systems, concurrency, or network programming, • Experience working with low-latency or real-time systems, • Familiarity with trading platforms, data pipelines, or simulation tools, • Open-source contributions or personal technical projects that demonstrate initiative Contact Ciara Clarke at Harrington Starr for a confidential discussion.

Analyst - Acoustics, Sonar, Physics (or related) - All Levels Unleash the Power of Multi-Mission Excellence: Safeguarding the Seas for the World's Navies. Step into a world where cutting-edge technology meets unparalleled expertise. Ultra Maritime pioneers delivering multi-mission solutions that protect and empower the naval forces worldwide. With our extensive portfolio of capabilities, our innovations are utilised on naval fleets across our allied navies around the globe. As the maritime and underwater battlespace evolves, we tirelessly push the boundaries to develop advanced specialist systems that provide our 'five-eyes' Defence customers with an unbeatable warfighting edge. From surface vessels to sub-surface operations and unmanned platforms, we are revolutionizing the way naval missions are executed. We thrive on collaboration and partnering with our customers to ensure mission success. Our expert solutions encompass an array of game-changing technologies, including state-of-the-art sonar, radar, expendables, signature management, and naval power systems. Join us in shaping the future of naval warfare and together, we will safeguard the seas and empower navies worldwide! Flexible Working At Ultra Maritime, we understand that your personal life is just as important as your professional one. That's why we support and promote flexible working arrangements where possible. Whether you prefer a hybrid model, working remotely, or the structure of being on-site, we will support you as best as we can. Embrace the freedom to shape your work hours according to your needs, whether it's part-time, compressed hours, or a unique arrangement that suits your lifestyle. Loudwater, Greenford, and Weymouth exclusively offer a 9-day fortnight working pattern, offering extended weekends every other week, granting you more time to pursue your passions. And that's not all - we provide flexible start and finish times, as well as Time off in Lieu (TOIL) for up to 1 day per calendar month which tie in with our Values of Integrity, Transparency and Alignment. We welcome the challenge to work in new ways and have trust in you when getting the job done because we recognise, our business is our people. Job Description Please note that we are looking for talented individuals at all levels of experience. Even if you do not meet all of the criteria listed below, if you think you can make a difference then please don't hesitate to apply. If you are unsure about any aspects of the requirements for this role please get in touch. Key Responsibilities 1. Analysis • Conduct in-depth analysis of Sonar Systems using established methodologies., • Develop appropriate models and analysis based on performance requirements collaboratively defined with the system design team, aligning with customer specifications. 2. Performance Modelling, Design Trade-offs, and Product Development • Model performance across a broad spectrum of realistic underwater acoustic conditions., • Evaluate sonar performance against customer requirements for inclusion in bid responses., • Employ modelling and simulation to guide product decisions and refine Concepts of Operation/Employment, effectively quantifying the impact of Sonar System Design decisions on performance. 3. Support to Trials • Assist in the execution of sea trials., • Analyse trial data, assessing it against system performance requirements., • Produce comprehensive reports on trial data analysis, drawing clear conclusions regarding trial success and the performance of the sonar system against its requirements. 4. Reporting and Collaboration • Regularly report on the progress of assigned work to project and product development teams., • Provide expertise during design reviews and customer presentations. Skills, Qualifications, and Experience • A relevant Bachelor's degree (a higher degree is preferred) in Physics, Mathematics, Engineering or another STEM field (consideration will be given to other STEM degrees if the required skillset is demonstrated)., • It is desirable that you have experience in one or more of the following areas, preferably within the sonar or similar domain:, • Signal Processing & Data Analysis Algorithm Development (Python, MATLAB, Java), • Detection, Classification and Localisation (DCL), • ML / AI for DCL and Sonar analysis, • Performance Prediction Modelling, • Operational Analysis, • Trials Data Analysis, • Finite Element Analysis & Fluid Dynamics, • Transducer Design, • Strong communication skills, with the ability to convey complex topics clearly and concisely to both expert and non-expert audiences., • Proficiency in the use of mathematical and scientific modelling tools, such as Python or MATLAB., • Proven ability to set and meet deadlines effectively., • Existing or attainable Security Clearance (SC). If you are passionate about making a significant impact in the field of Anti-Submarine Warfare and Naval Sonar technology and possess the skills and expertise we are looking for, we invite you to join our team and be part of our exciting journey. Benefits on offer: • Optional 9 day fortnight, • TOIL, • Flexible working hours, • 1pm finish on a Friday, • Annual bonus, • Hybrid working for certain job roles., • Casual dress, • 25 days holiday, • Christmas shut down., • Option to buy or sell holiday., • Option to purchase private health care, dental, critical illness etc via salary sacrifice., • Reward hub - discounts at over 200 online stores, • 4 x annual salary life cover, • Pension starting at 5% Employer / 4% Employee. You can select your employee contribution level from 4% to 70% (providing this sacrifice does not cause your salary to drop below the National Minimum Wage/ National Living Wage Relocation Support Attracting high-level talent and people that can add value and expertise, is vital to our success. Attracting and retaining brilliant people is imperative so that's why we search across the UK for talent. We offer financial support to candidates that are considering relocating; this is considered on a case-by-case basis per role and subject to HMRC guidelines. Nationality Requirements Candidates must be eligible to obtain the relevant security clearance required for the role, due to the nature of the programmes we deliver for our customers. Diverse & Inclusive Employer Ultra Maritime is an equal opportunities employer that values diversity, inclusion, equity and equality. Underpinned by our values, behaviours, and policies, we want you to feel empowered to be your best and authentic self. We promote a workplace that welcomes people from all backgrounds and cultures; believing that this will increase our diversity of thinking, and ultimately ensure we continue delivering on our commitments to our customers. We do not discriminate based on race, religion, colour, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status and welcome applications from all candidates.

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

Role: Staff AI Engineer - GenAI (Dubai based) Join a high-performing Data Science & MLE team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning. Key Responsibilities • Lead end-to-end AI transformation focused on personalization in a consumer-facing application., • Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI., • Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements., • Design and deploy data/ML instrumentation to extract insights and optimize the product experience., • Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses., • Build and scale machine learning algorithms and pipelines to production using big data technologies., • Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications., • Design and evaluate A/B tests and communicate results across cross-functional teams., • Define, implement, and monitor key performance metrics for AI-driven product features., • Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements • 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data., • Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred), • Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment)., • Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models)., • Hands-on experience with LLMs and GenAI technologies., • Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive., • Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design., • Solid background in ranking, recommendation, and retrieval systems., • Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.)., • Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy., • Bonus: Experience with geospatial data and advanced analytics platforms.

Autonomy & Geospatial Systems Integration Engineer Location: London, UK or Linköping, Sweden Industry: Aerospace / Defence / ISR / UAV Systems Employment Type: Full Time Overview: A leading innovator in spatial intelligence and mission-critical technology is seeking a Software Integration Engineer to join its Mission Systems team. The organisation builds advanced geospatial, AI-powered, and ISR solutions that integrate into platforms such as UAVs, edge computing systems, and defence environments. This is a hands-on, customer-facing engineering role for someone who enjoys solving complex integration challenges, working with cutting-edge sensor data, and enabling real-world impact in mission environments. You will work at the intersection of software, embedded systems, payload integration, and customer operations, supporting the deployment of next-generation spatial intelligence tools into UAV and ISR ecosystems. Key Responsibilities: • Serve as the technical lead for solution integrations involving satellite imagery, full motion video, and related sensor data into UAV visual positioning, odometry, and navigation systems., • Collaborate with UAV OEMs, defence integrators, and mission customers to support system demonstrations, prototyping, and field testing., • Conduct bench and field integration activities, including configuration of companion computers (e.g., NVIDIA Jetson, Raspberry Pi), autopilot stacks (PX4, ArduPilot), and analysis of telemetry, imagery, and navigation data., • Assess integration feasibility, including SWaP considerations and solution design, ensuring successful deployment in demanding environments., • Develop integration procedures, test plans, troubleshooting documentation, and technical guides., • Provide feedback to internal engineering teams to enhance product performance, usability, and reliability under operational conditions., • Contribute to technical materials for RFP/RFI responses and solution proposals., • Collaborate with internal product, engineering, and field teams to define interfaces, data flows, and integration paths between software products and OEM systems., • Support the technical articulation and positioning of capabilities to high-value customers. Minimum Qualifications: • Bachelor’s degree in a STEM field (Aerospace, Computer Science, Electrical/Mechanical Engineering, Mathematics) or equivalent practical experience., • Experience supporting ISR, UAS, aerospace, or defence system integrations., • Strong proficiency in Python and C++ for integration, SDK adaptation, and prototype development., • Experience with ISR-relevant imagery/video formats: GeoTIFF, MPEG-TS, KLV metadata, H.264/H.265, STANAG 4609, MISB., • Understanding of 3D terrain formats (DEM/DTED, 3D Tiles) and coordinate systems such as WGS84, UTM., • Familiarity with frameworks/tools such as OpenCV, PyTorch, GDAL, Cesium, Unity., • Practical knowledge of embedded Linux systems (Jetson, Raspberry Pi, NXP)., • Demonstrated ability to work cross-functionally across product, engineering, and field teams., • Ability to travel domestically or internationally (approx. 25%, occasionally up to 50%). Preferred Qualifications: • Master’s degree in Engineering, Computer Vision, Software Engineering, or related field., • Experience with embedded Linux tools/configurations: systemd, Yocto, Docker., • Knowledge of GNSS/INS, video odometry, or visual-inertial fusion systems., • Experience with UAV systems, including configuration, tuning, and troubleshooting with autopilot interfaces., • Familiarity with OGC geospatial standards (WMS, WMTS, WFS) and real-time streaming protocols., • Experience with data transport frameworks such as ZeroMQ, Protobuf., • Hands-on experience building or modifying companion computer architectures (Jetson, Raspberry Pi, STM32MP1)., • Background in AI/ML for computer vision, sensor fusion, or ISR analytics., • Experience performing technical feasibility assessments for mission-critical or edge-deployed systems., • Valid UK or EU security clearance is a bonus. About the Organisation: The company operates at the forefront of geospatial technology, 3D modelling, and mission-focused intelligence solutions, serving telecommunications, emergency response, defence, and intelligence customers globally. Their mission is to help operators and decision-makers understand the world in real time with highly accurate, immersive geospatial and sensor-driven insights. Application Process: To apply, please submit your CV detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged. Equal Opportunity Employer: We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply. Contact: ___

About PRODA At PRODA () we are building software to unlock the full potential of Real Estate Data no matter the asset class, language, or country of origin. Our solution leverages the latest technologies to automatically capture, standardise and quality check Real Estate data into a single, clean source of truth. The goal is to empower real estate professionals to quickly gain actionable insights from their data and to enable the effective use of software. Despite being the biggest asset class in the world, the commercial real estate industry relies on excel & PDF “Rent Roll” documents as the primary means of exchanging data. These files are frequently inconsistent, inaccurate, and inaccessible, posing challenges for real estate professionals. Through automated data capture, standardisation, and analysis, PRODA can: · Build repositories of clean, standardised data · Increase process efficiency, through faster report generation · Improve data-driven decision making, by ensuring the accuracy of input data Furthermore, PRODA easily integrates with existing systems, to ensure consistent dataflow through the whole organisation. Founded in 2017 by Charles and Peter, two former Real Estate Finance Investment professionals, PRODA is now 66 people strong, and is looking to expand rapidly following a successful Series A raise in Q2 2022. PRODA has a strong globally recognised client base with an even better sales pipeline. We are looking for you to join us on our exciting journey delivering best-in-class software to the Commercial Real Estate market globally. Role We are looking for a Software Engineer to join the team at PRODA that works on the automatic extraction, classification, standardisation and validation of financial data documents in commercial real estate. We encourage candidates of all experience levels to apply, including recent graduates and those with several years of relevant work experience. Responsibilities • Develop flows for extraction of data from financial documents in PDF and Excel formats., • Work with a generalised data model, and a process to convert extracted data into that using standardisation and validation steps., • Drive the development of automation with a focus on enhancing speed, accuracy, and applicability., • Stay abreast with emerging technologies and industry trends in financial data reporting and requirements of clients., • Clearly and concisely communicate findings and recommendations to both technical and non-technical stakeholders. Required Skills & Qualifications • Bachelor’s degree in computer science, mathematics, physics or another relevant STEM discipline., • Proven experience in solving complex problems, ideally in data extraction and modelling., • Comfortable solving problems at every level, from algorithms and data structures to system design., • Expertise in Python., • Experience of full-stack development., • Ability to work independently as well as part of a collaborative team., • Strong project management skills with the ability to meet deadlines. Preferred Skills & Qualifications • Experience with TypeScript and React., • Experience with cloud platforms. What We Offer • Opportunity to learn and grow in a fast-paced, cutting-edge environment., • Access to the latest technology and tools to make you productive, including the latest MacBooks, along with AI tooling., • A supportive environment with a focus on professional development and growth., • A culture that values simplicity and efficiency in solving problems and delivering solutions. Working at PRODA As a rapidly growing SaaS business, life at PRODA is fast-paced and collaborative. Our day-to-day work is solving interesting problems using smart technologies, and we pride ourselves on an environment where we can rapidly develop new skills, learn from each other, and truly see the impact of our work. We believe that our product is transformative, and we work hard to ensure it reaches its potential. Our team is our greatest asset: we are a close-knit group who pull together to achieve our goals, but we also have fun! Further to a strong team environment, working at PRODA offers the following amenities: • Flexible Hybrid working options, • Stock Options in the Business, • 25 days base holiday, • Full zero-excess Private Health & Dental Insurance, Includes Couple and Family plans, • Generous Pension Schemes, • Opportunities for Professional Development + Learning Sessions PRODA treats people fairly. We are an equal opportunities employer and view all applications equally, regardless of gender, colour, ethnic background, religion, disability, age, sexual orientation, gender reassignment or marital/family status.

🤖 Junior AI Engineer (0–2 years) | Competitive Salary | London & Luton | Hybrid Working 🚀 Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale? We’re looking for a curious and motivated Junior AI Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup with offices in London and Luton. This role is ideal for someone early in their career who’s excited about applied AI, enjoys building things that go into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms. 🔍 In this role, you’ll: 🤖 Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate closely with data engineers, software engineers, and product teams 📐 Help maintain best practices around testing, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths 💡 Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement 🏢 Hybrid Working – A flexible mix of remote work and time in London and Luton offices 🌍 Real-World Impact – Work on AI systems used by global customers at scale 💰 Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Computer Science, AI, Data Science, Mathematics, Engineering, or a related field 💼 0–2 years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning fundamentals and data workflows 💬 Strong communication skills and a collaborative mindset ⭐ Big bonus points for: ❄️ Experience with Snowflake 🧱 Experience with Databricks ⚙️ Exposure to ML pipelines, MLOps, or production ML systems If you’re excited about building AI systems, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your AI engineering career.

Applied AI Engineer Location: Bristol or London (In-person + hybrid option) Employment Type: Full-time Start Date: June-September 2026 Salary: £35,000 to £55,000 Application: Rolling About GenFinance.AI GenFinance.AI is the UK's emerging leader in bringing generative AI to finance and accounting professionals. Our mission: To accelerate the world's finance professionals through rapid, reliable and responsible AI. We work with the institutions that matter: the ICAEW, finance teams in £20m to £150m businesses, and accounting practices navigating the AI transition. We do not build AI models. We deploy them, train people to use them, and advise leadership on adoption strategy. Since launching in June 2024, we have achieved 72% operating margins and repeat contracts with blue-chip clients. Our work includes developing the ICAEW GenAI Accelerator Programme, accessible to 200,000+ members with 250+ videos and 500+ practical use cases. We are building the founding team that will make GenFinance the definitive name in AI for finance. About the Founder Peter Beard has over ten years of experience in finance and accounting. At Ernst and Young (EY), he managed a range of audits (including FTSE and EURO Stoxx 50-listed), contributing to EY's AI research and leading technology transformation projects. Peter was awarded twice by EY UK for his "Significant contributions to innovation initiatives" and "Exceptional technical proficiency and quality commitment". The ICAEW GenAI Accelerator Programme has been produced in collaboration with Peter and GenFinance.AI. He now sits on two ICAEW Advisory Boards (Audit and Assurance Faculty, Members and Commercial Board) and is an Advisory Board Member for the FD Show launching at ExCeL London in 2026. He holds a Perplexity AI Fellowship, connecting him with leaders from Perplexity, Nvidia, Ramp, and other technology companies. LinkedIn: linkedin.com/in/peterbeardaca What We Believe Rapid, reliable, responsible Generative AI needs all three to be successfully implemented. Miss one and it fails. We do not compromise on any of them. Trust is a precious commodity In finance and accounting, trust is the currency that matters most. It takes years to build and seconds to destroy. Everything we do must earn, protect and extend that trust. Speed of thought Generative AI is the step closer for humans to work at the speed of thought. That is the standard we are building towards. From cost centre to value maker Finance teams should make money, not just count it. We help them make that shift. First principles thinking This is the bedrock of effective decision making. No assumptions. Solve from the ground up. The back office is neglected Everyone is chasing the prize for the front office. Meanwhile, the back office of GenAI adoption is largely ignored, despite real demand from business owners. That is where we focus. Lasting change, not demos Value is created through lasting work with customers that truly changes their results and work patterns. It means they can go home slightly earlier. It means they can take that project off the shelf because they have saved the time. It means they can cut prices to consumers so everyone benefits. That is what success looks like. How We Work We operate with a flat organisational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritisation skills are important. This is not a place where you wait to be told what to do. If that does not excite you, this is not the right role. About the Role This is a founding team role. We are a lean company, just a handful of people building something that matters. You will be joining at the ground floor, not as employee number fifty. You will be the person who knows our tools better than anyone. How they work, where they break, and how to connect them to real business data. You will work directly with the founder to build GenFinance's technical capability from the ground up: mastering Model Context Protocol (MCP), testing every serious AI tool on the market, and creating the playbooks that let us deploy AI for clients rapidly and reliably. Everything you build will be used. By clients, by the team, and by the thousands of finance professionals who will come to rely on our guidance. Here is what you will actually do: • Become an expert-level user of generative AI platforms (Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok), • Master Model Context Protocol (MCP), API, and build our library of data integrations, • Test, evaluate, and grade AI tools for finance, • Participate in research, both field and desk, to help disseminate signal from noise. We are the ones who help our clients decipher what matters, with the trust that has been earned., • Create setup guides, scripts, and documentation for rapid client deployment, • Conduct research on AI developments and translate findings into practical insights, • Contribute to published thought leadership content, • Support client engagements by handling technical integration questions, • Help develop proprietary AI tools, from proof-of-concept to client demos, • Represent GenFinance in our online community, fielding technical questions This is a startup. The nature of a founding team role means there will be ancillary tasks beyond your core remit. You will need to be open to what the business needs. It is a varied role, and that is part of what makes it valuable. Why This Role Matters (For You) If you are hungry to grow, this is your shot. You will get exposure to every major AI platform before most people know they exist. You will work directly with a founder who has Big 4 technology and AI advisory experience. You will shape a company's technical direction, not just execute someone else's vision. Your skill set will grow exponentially faster here than it would inside a larger company. You will develop more in one year than in three elsewhere. More importantly, you will help an entire profession work better. If you find meaning in that kind of work, you will love this role. If you are not ready for a fast-paced environment where you figure things out yourself, this is not the role for you. To Win In This Role, You Need Required: • Demonstrated obsession with generative AI tools. Daily usage, pushed limits, informed opinions., • Deeply curious about the world and likes to connect dots, • Technical ability to work with APIs, read documentation, and figure out integrations independently, • Strong written communication. You can explain complex concepts to non-technical audiences., • Self-directed learning. You do not wait to be told what to explore., • Comfort working hard and solving hard problems, • Excitement for the challenge of a founding team, not looking for structure handed to you Preferred: • BSc or MSc in a related field (Computer Science, Mathematics, Engineering, or similar), • Experience with MCP or similar data integration approaches, • Background in a technical role (software development, data engineering, technical consulting), • Familiarity with finance or accounting concepts, • Previous use or experience with accounting software (Xero, Sage, Oracle NetSuite, SAP), • Experience producing technical content (blogs, documentation, tutorials) Not Required: • Machine learning research experience. We deploy models, we do not build them. Results You will be measured on outcomes that matter: • Build and maintain GenFinance's integration capability. The playbooks, documentation, and tooling for any client deployment., • Create the industry's most trusted AI tool directory for finance professionals, • Produce published content that establishes GenFinance as a technical authority, • Support successful client deployments with zero integration failures, • Contribute to product development that results in working prototypes in front of real clients, • Help secure technical partnerships with major AI platform providers Location and Environment Bristol or London. In person We come to the office because the best work happens in unexpected moments of collaboration. We will give you focused work zones and the assets you need to succeed. Quality equipment, proper setup, the tools to do your best work. Work from home can be offered. Once we know your capability to get the job done, flexibility follows. Visa sponsorship is possible for exceptional candidates who also demonstrate exceptional technical English speaking ability. Benefits • £35,000 to £55,000 base salary (dependent on experience), • £1,500 annual learning and development stipend to focus on your interests in the field, • Pension contributions, • Free gym membership, • Quality equipment (Mac, etc.), • Various discounts and perks, • Equity participation discussed with exceptional candidates Interview Process • Application review. CV, LinkedIn, and application form (see below), • Initial chat. Get to know each other, discuss basic qualifications and mutual fit, • Project. Demonstrate your hands-on capability with generative AI, and your ability to explain something complex clearly, • Final conversation. Meet the founder, discuss the role in detail Our goal is to complete the process within two weeks of first contact. We believe recruitment should be a good experience regardless of outcome. Every candidate who completes an interview will receive specific feedback and a decision within 14 business days. To Apply Apply via LinkedIn AND complete the application form. Application form: We will only consider applications that include both. If you have only clicked "Easy Apply" without completing the form, your application will not be reviewed. This is not bureaucracy. It is how we identify candidates with genuine interest versus passive applicants. This is a rolling application. We will review applications on an ongoing basis until the role is filled.

For almost 50 years, Williams has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name. Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers’ Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to the front of the grid. Job Description Role Purpose: The Senior Legal Counsel will play a critical role in supporting the legal, commercial, and regulatory activities of Atlassian Williams F1 in a fast-paced, high-stakes global environment. This position provides strategic and operational legal advice across all aspects of the team’s racing, technical, commercial, and corporate functions, ensuring compliance with FIA regulations, Formula One Management requirements, and applicable international laws. Reporting to the General Counsel, the Senior Legal Counsel will act as a trusted adviser to senior leadership and key stakeholders, helping to manage legal risk while enabling the team to compete and innovate at the highest level of motorsport. This is a hands-on role requiring strong commercial judgment, the ability to work autonomously, and the confidence to advise senior stakeholders in a dynamic and competitive setting. Main Duties: Provide high quality, pragmatic and commercially focussed legal advice and support to the business, including the following tasks: * Drafting, reviewing, negotiating and advising on a variety of commercial contracts including supply and purchase agreements, manufacturing agreements, SaaS agreements, collaboration agreements, sponsorship and licensing agreements. * Providing comprehensive legal advice, strategic guidance, and general support to the business and its support functions including Esports, IT, HR, Procurement, Facilities, Aero, Wind Tunnel, Merchandise & Licensing, Fan Engagement, Experience Centre, Creative, Content, and Communications. * Advising on contractual rights and obligations, providing clear and practical guidance to support effective decision-making, and providing timely and practical legal advice that aligns with overall business strategies. * Collaborating with cross-functional teams to assess legal implications and provide recommendations for successful project execution. * Serving as the key legal point of contact for new internal and external company projects, including initiatives in areas such as policy governance, fan engagement, and STEM (Science, Technology, Engineering, and Mathematics). * Protect and manage Williams’s intellectual property strategy and portfolio, including trademarks, copyrights, and trade secrets. Advise on brand usage, content rights, digital media and merchandising activities. * Assisting in data protection related legal matters, including preparing and negotiating data sharing agreements, data processing agreements, GDPR addendums, IDTAs, and other data protection related documentation such as DPIAs. * Working closely on intra-group agreements, ensuring alignment with the overall corporate structure and legal requirements, and collaborating with internal stakeholders to structure, draft, and negotiate agreements between different entities within the organisation while addressing legal and regulatory considerations. * Advising on FIA regulations, Formula One sporting and technical regulations, and related governance frameworks. Supporting compliance with F1 commercial agreements and governing body requirements. Monitoring regulatory developments affecting motorsport and advise on impact and risk mitigation. * Provide guidance, support, and oversight to junior team members, acting as a mentor and role model. Foster a positive, inclusive environment that encourages learning, collaboration, and meaningful contribution to legal initiatives. Delegate work aligned to individual skills and development goals, providing clear instructions, timelines, and constructive feedback. Maintain open communication through regular one-to-one meetings, supporting performance, professional growth, and career development while setting a high standard for professional conduct and ethical behaviour. * Providing support to the business and other lawyers in the team including legal research, providing updates on legal developments and updating standard terms and conditions, agreements and other documentation. * Provide training to the business in respect of regulatory and legal compliance and good practice. * Identifying legal risks across the business and in devising effective solutions to mitigate such risks. Assist in coordinating company wide risk governance. * Ensuring compliance by the business and its support functions with all applicable laws and regulations. * Managing relationships with external counsel. * Ensuring that the General Counsel is appropriately informed and updated of progress on all work matters and key issues, including ensuring that input and guidance are requested as appropriate. * Undertaking such other duties of a similar nature that are commensurate with your skills and abilities as determined by the General Counsel. Qualifications Required * Qualified lawyer (UK or equivalent jurisdiction). * Significant post-qualification experience, ideally gained in a top-tier law firm and in-house environment. * Strong background in commercial contracts and general corporate advisory work. * Experience advising in a fast-moving, complex, or regulated environment. * Excellent drafting, negotiation, and stakeholder management skills. * Commercially minded, pragmatic, and solutions focused. Desirable * Experience in sports, media, entertainment, automotive, technology, or advanced engineering sectors. * Familiarity with IP, sponsorship, or brand-driven businesses. * Prior exposure to regulatory frameworks similar to FIA / sporting governance. Additional Information We fuel our team with a competitive benefits package, including generous holidays, vibrant staff events, a subsidised onsite restaurant, and a range of car schemes. Stay energised with 24/7 access to our gym and free fitness classes like outdoor boot camps, Pilates, and Yoga. With free parking and sprawling green spaces, you’ve got the perfect space to recharge and refocus. Join a fast-paced, future-thinking team that’s driving innovation and pushing past engineering boundaries Atlassian Williams F1 Team is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.

Introduction Boothbay Fund Management, LLC is a multi-manager, multi-strategy firm with 100+ alternative asset managers trading strategies across a spectrum of asset classes globally. Boothbay launched its flagship strategy in 2014. Boothbay has its primary office in NYC, and additional offices in London, Hong Kong, and Westchester. The firm is operated with an entrepreneurial spirit and is continually seeking to improve and expand. Role We are seeking a talented Data Engineer to join the growing data team within our Quantitative Management Division This position is ideal for individuals who are passionate about building scalable data solutions, eager to learn in a collaborative environment, and excited to work in small teams while taking advantage of opportunities to lead and enhance both themselves and their teammates. In this role, you will collaborate with experienced engineers to build and maintain our data infrastructure, develop efficient data pipelines, and ensure data quality across our systems. As part of a small team in the early stages of its lifecycle, you will have significant opportunities to make a meaningful impact and contribute to shaping our processes and systems. Key Responsibilities • Contribute components of our mission critical data platform for the purposes of live trading and strategy research., • Collaborate with researchers to optimize data delivery., • Make available new datasets, • Implement data quality checks and monitoring systems., • Assist in database design and optimization., • Write clean, maintainable code following best practices., • Participate in code reviews and documentation. Qualifications • A degree in Computer Science, Mathematics, Physics or other quantitative discipline. Postgraduate an advantage., • Experience with financial data sets, • Very strong Python, with emphasis on data engineering and systems programming., • Good understanding of ETL processes, databases and other data management tools such as data lakes and DBT., • Some exposure to DB Engine operation. Clustering, performance tuning, backups., • Linux/Unix, • Excellent problem-solving and analytical skills., • Strong communication, and collaboration abilities. Preferred Qualifications • Experience with columnar DB engines like Clikchouse, KDB/Q or similar, • Experience with Airflow, Dagster or similar tools., • Exposure to container technologies: Docker, Podman etc, • Knowledge of 'big data' technologies (Hadoop, Spark, Parquet), • Experience with TAQ data, and exchange connectivity. Compensation • Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible for discretionary bonus commensurate with performance Primary work location • London, NYC or Westchester (Hybrid)

Front Office FX Trading Technology - Global Banking & Markets A leading global investment bank is seeking a Python Developer to join its Front Office FX Options Technology team. This is a high-impact role where you’ll work closely with traders and developers to build cutting-edge, high-performance trading systems - leveraging big data and algorithmic models to analyse and predict market behaviour in real time. They’re looking for switched-on engineers who can tackle complex problems and deliver business-critical, high-visibility projects in a fast-paced, front-office environment. Key Responsibilities • Design, develop, and support pricing, eTrading, and market-making systems., • Collaborate with traders, sales, and quants to deliver performant, data-driven solutions., • Enhance trading algorithms, data pipelines, and market connectivity., • Integrate trading systems with upstream trade execution and regulatory platforms., • Work within an agile team delivering high-priority solutions under tight deadlines. Skills & Experience • Strong Python (or OO language: Java, C#, C++) development experience., • Solid understanding of data structures, algorithms, and design patterns., • Experience with SQL/NoSQL, APIs, and distributed systems., • Familiarity with agile methodologies and CI/CD tools., • Excellent communication skills and an interest in financial markets or FX trading., • Degree in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join • Work directly with Front Office trading teams on next-gen algorithmic trading systems., • Gain exposure to real-time analytics, predictive modelling, and high-performance systems., • Collaborative, high-energy environment with strong growth opportunities.

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

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

All3 is transforming how buildings are conceived, developed, and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production — unlocking even the most complex sites. We’re currently seeking a Robotics Software Engineer to build the control software for electro-mechanical systems, develop tooling for data logging and analysis, implement low-level device drivers and create simulation and validation workflows to support rapid prototyping and fast iteration. Responsibilities: • Designing and implementing control software for electro-mechanical and robotic systems;, • Developing tooling for data logging, analysis, and system performance insights;, • Building and maintaining device drivers for fieldbus interfaces (EtherCAT, CAN);, • Creating simulation environments for system behaviour, testing, and validation;, • Rapidly prototyping new features and system behaviours to support early-stage development;, • Collaborating with mechanical and control teams for integration;, • Ensuring reliability, safety, and maintainability across all software components. Expertise: • Proficiency in C++ and Python;, • MS degree providing a good foundation in mathematics;, • First-principles approach to problem-solving with the ability to break down complex systems;, • Experience with real-time control systems for robotic platforms or mechatronics platforms;, • Experience with data logging, analysis pipelines, and performance tooling;, • Prior robotics experience is beneficial but not required. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave.

Job Description London | Full-Time | Junior Engineer (Client-Facing Analytics) Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. Our technology is used by hedge funds, banks, and commodity trading desks to integrate signals directly into live trading and research workflows. We’re hiring a Junior Data Scientist / Quant to sit at the intersection of data science, product, and client integration. This role is ideal for someone early in their career who wants to work for a financial institution disruptor. What You’ll Be Doing • Support client integrations of Permutable’s data, APIs, and signals into their research or trading systems, • Assist with signal onboarding, including explaining methodologies, assumptions, and intended use-cases, • Help run and interpret back-tests and validation analysis for client-specific workflows, • Work with client data to test use-case applications (e.g. strategy overlays, filters, dashboards), • Support customers during onboarding and early usage, helping answer analytical and data-related questions What You Bring • Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar, • Strong grounding in statistics, probability, and time-series analysis, • Comfortable working in Python and analysing data programmatically, • Clear communicator — able to explain analysis simply and honestly, • Curious about how data products are actually used by clients, • Interest in financial markets, trading, or applied ML Nice to Have • Experience with APIs, JSON, or data pipelines, • Familiarity with back testing, signals, or quantitative strategies, • Basic SQL knowledge, • Exposure to financial or commodities markets Tech & Tools You’ll Work With • Python, AWS, CI/CD, • REST APIs & real-time data pipelines, • LLM-driven analytics & event-based data, • Client-facing dashboards & research workflows Why Join Permutable? • Learn how AI and quant signals are deployed inside real institutions, • Direct exposure to hedge funds, banks, and trading desks, • Small team, fast learning curve, real responsibility, • Clear progression into Data Scientist, Quant, or Product Analytics roles, • You’ll help ensure clients don’t just buy the product — they actually succeed with it Industry: Business Intelligence Platforms Employment Type: Full-time

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

Pricing Algo Java Engineer Up to £160,000 on the base I am looking for experienced Java engineers to join one of Europe’s top-tier fixed-income algorithmic trading desks. The role involves building a greenfield execution system from the ground up, spanning five core business domains, with a strong focus on performance, reliability, and clean system design in a front-office trading environment. Role Description You are a confident and self-motivating developer with a solid understanding of electronic markets. You are client focused and are comfortable communicating with stakeholders across the bank. You are at home developing in a small self-organising team and value user feedback within an agile development process. You can manage expectations effectively and have a demonstrable track record of owning delivery of a high profile product to demanding business users. You are familiar with the Fixed Income markets, both cash and derivatives, and understand the value of an intuitive, robust and reliable eTrading systems to a trading desk. Key Responsibilities: • Develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis, • Implement and optimize execution algorithms to improve trading efficiency and reduce market impact, • Collaborate with quants, developers, and traders to translate trading ideas into production-ready code, • Monitor and evaluate the performance of trading strategies, making real-time adjustments as necessary, • Conduct research on new trading opportunities and market inefficiencies, • Develop and maintain relationships with electronic trading venues and liquidity providers, • Contribute to the firm's overall electronic trading infrastructure and technology stack Required Experience: • Degree in Computer Science, Mathematics, Physics, or a related quantitative field, • Minimum of 5 years of experience in electronic trading or a similar role in financial markets, • Strong programming skills in Java, with experience in low-latency environments, • In-depth understanding of market microstructure, order types, and exchange connectivity, • Excellent problem-solving skills and ability to work under pressure in a fast-paced environment

Intern – Data & Machine Learning (AI Infrastructure) Company: Norse3 Website: Location: UK (Remote) Duration: Internship (3–6 months, flexible) Start Date: Flexible Salary: Minimum wage plus expenses About Norse3 Norse3 is an early-stage AI infrastructure and governance business building secure, compliant “AI rails” for regulated industries. Our platform focuses on AI risk management, data governance, and control layers that sit alongside modern AI systems. We operate at the intersection of machine learning, cybersecurity, and regulatory compliance, working with financial services, professional services, and other regulated environments. You will be joining a small, fast-moving team where your work will be directly visible and impactful. Role Overview We are seeking a motivated intern to support our data and machine learning workstreams. This role is hands-on and suited to someone who wants real exposure to how AI systems are built, structured, and governed in a commercial setting. The role will focus on data input, data structuring, model support, and experimentation, rather than purely theoretical research. Key Responsibilities • Collect, clean, label, and structure datasets used in machine learning pipelines, • Assist with data input and maintenance across internal AI systems and tooling, • Support model training, testing, and evaluation under guidance from senior team members, • Help document datasets, assumptions, and model behaviour for internal and compliance use, • Work with small datasets initially, scaling to more complex data as the platform evolves, • Assist in building and maintaining simple scripts or notebooks (Python-based), • Contribute to experimentation around prompt engineering, model behaviour, and risk controls, • Support the wider team with ad-hoc analytical or technical tasks as required Required Skills & Experience • Currently studying (or recently graduated in) Computer Science, Data Science, AI, Machine Learning, Mathematics, or a related discipline, • Basic working knowledge of Python, • Familiarity with data structures, datasets, and basic ML concepts, • Comfort working with spreadsheets, CSVs, and structured data, • Logical, detail-oriented, and comfortable working independently, • Strong written English for documentation and internal notes What You’ll Gain • Real-world experience in an early-stage AI infrastructure business, • Exposure to how machine learning systems are deployed in regulated environments, • Direct access to senior decision-makers and technical leadership, • Practical experience that goes well beyond academic coursework, • The opportunity to influence systems and processes from an early stage, • Potential for the role to extend or convert into a longer-term position Working Style • Small team, minimal hierarchy, • High trust, high responsibility, • Practical, outcome-focused work rather than “intern busywork”, • Flexibility around hours to accommodate studies

Sydenham High School is seeking to appoint a dynamic, creative and innovative Maths Teacher within our popular and successful Maths department.

SUBSTANTIAL RECRUITMENT AWARD FOR THE RIGHT CANDIDATE | ADDITIONAL R&R FOR FURTHER MATHS SPECIALISTS.FULL-TIME (PART-TIME CONSIDERED FOR EXCEPTIONAL CANDIDATES).Achieve Excellence in a Unique Environment.Hasmonean High School for Girls is a national leader in education, currently ranked as the 8th-h

Role - Functional Skills TutorLocation - DagenhamRate - £25 - £35 per hourSubject Functional skillsStart date - ASAPAs a Functional Skills Tutor, your role involves delivering dynamic and interactive lessons in functional skills subjects such as English and mathematics. Functional Skills Tutor Req

You, the new Trainee Mathematics Teacher. Fully-Paid, School-Based Trainee Mathematics Teacher | Hammersmith & Fulham | September 2026. This Trainee Mathematics Teacher role in.

We are seeking an enthusiastic and dedicated Early Career Teacher of Mathematics to join our successful Maths department. This is an exciting opportunity for a motivated individual to begin their teaching career in a supportive and forward-thinking school environment. Qualified Teacher Status (QTS)

KS5 Academic Mentor in Mathematics What the Role Involves. Delivering targeted KS5 Mathematics interventions to small groups and individual pupils. KS5 Academic Mentor in Mathematics Enfield January 2026.

Teacher of Mathematics – Key Stage 5 Specialist Tower Hamlets, East London £170 - £270pd Ongoing / Long-term opportunity VNA Education is working with an Outstanding secondary school with an exceptional sixth form in Tower Hamlets to appoint a high-calibre Key Stage 5 Mathematic

As Head of Maths, you will provide strategic direction, lead curriculum innovation, and ensure high-quality learning across KS3–KS5. Are you a dynamic, ambitious, and intellectually driven Mathematics specialist ready to lead one of the most influential departments in a thriving London secondary s

About the School - Head of Mathematics - Haringey, North London. Head of Mathematics - Haringey, North London. Ofsted 'Good' school with attainment in Maths being excellent.

Science, Technology, Engineering, Mathematics Specialism).

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

Tony Alan Recruitment currently has an exciting job opportunity for a Maths Teacher to join an independent school based just outside of the Croydon area on a permanent basis.

A Tier 1 technology-led multi-strategy trading firm is appointing a Quantitative Product Strategist into a highly visible, centrally positioned front-office role. This is a discreet search, driven by the continued expansion of the firm’s quantitative analytics platforms across asset classes and trading styles. The role sits within a central quantitative analytics group that partners closely with trading, quantitative modelling, and engineering teams across the firm. The mandate is not to own a trading book or build models in isolation, but to ensure the right quantitative ideas are translated into trusted, usable production systems. This is a genuinely hybrid role, designed for someone who is comfortable operating at the intersection of markets, models, and systems, and who enjoys shaping problems under ambiguity rather than working from fully specified requirements. You will work closely with traders, portfolio managers, and quantitative teams to frame analytical needs, while partnering with engineering groups responsible for live trading, risk, and P&L platforms to ensure correct implementation and prioritisation. This is emphatically not a desk quant, quant research, or pure software engineering role. The value-add is judgement, clarity, and product ownership — not depth in a single vertical or volume of code written. The scope includes ownership and evolution of several front-office quantitative platforms, including: • Risk and P&L analytics used by discretionary trading teams, • User-facing trading and analytics tools, • Core quantitative libraries and their integration into live systems, • New AI-enabled analytics and tooling being rolled out across the firm The role requires constant context switching and close engagement with multiple stakeholders, often under time pressure. Success is defined by correctness, trust, and adoption — not by theoretical sophistication alone. The team operates as a small, senior, low-ego group with significant influence over what gets built and when. While some prototyping or analysis may be required, heavy production development and deep original model research are explicitly not the focus. Requirements • 3+ years’ experience in a front-office or front-office-adjacent quantitative, analytical, or trading-facing role, • Strong quantitative foundation (e.g. quantitative finance, financial engineering, applied mathematics, physics or similar), with credibility in front of traders and quants, • Early-career front-office or front-office-adjacent experience in a quantitative, analytical, or trading-facing role, • Technical fluency with production analytics and data (Python, C++ or similar; SQL and time-series experience a plus), • Familiarity with market data, pricing, risk, and P&L concepts in live trading environments, • Experience working closely with engineering teams to deliver or evolve live systems, • Ability to operate across business, analytics, and technology rather than within a single silo, • Strong communication skills, with the ability to translate between traders, quants, and engineers, • Comfort operating under ambiguity, frequent context switching, and time pressure This search is being conducted discreetly. Further detail will be shared during an initial confidential discussion. To apply, either respond to this advert or send your CV directly to .

Leadenhall have partnered with a London based growing credit risk consultancy who are looking to bolster their modelling team. The team has a wide experience in managing risk across the credit lifecycle including portfolio evaluation, managing acquisition and collection strategies and supporting regulatory projects (IFRS9 and AIRB). It's an exciting opportunity for someone with 2-6 years experience, who's looking to work for a small, growing consultancy where they can have more autonomy over their work and see the value they're adding to the team, the office and the company. The Role: • Support projects to provide credit risk solutions to several firms including stress testing, model validation, model development and credit risk strategy., • Deliver analysis and modelling projects and support the delivery of larger projects as required., • Identify opportunities for increasing value through analysis and modelling techniques., • Test the effectiveness of existing and new business strategies and study the results recommending new strategies and plans., • Proactively identify areas for improving internal capabilities. The Person: • 2+ years experience working on IRB or IFRS9 modelling/validation for retail portfolios., • 2:1 degree with statistical content. (Statistics, Mathematics, Operational Research), • Expertise in manipulating and analysing large datasets., • Strong communication skills both verbal and written., • Knowledge of regulatory environment (IFRS9, Basel e.g. AIRB, ICAAP, SREP, Stress Testing), • Knowledge of regulatory activity outside of the UK an advantage in areas such as TRIM, CECL. What's on offer: • A comprehensive wellbeing programme, • Private health insurance, • Client interaction and clear responsibilities from the start, • Meritocratic culture with a clear development path, • Competitive salary and benefits, • Equity

🎓 Graduate Software Developer / Quantitative Developer / Quantitative Researcher 📍 Location: London (Hybrid) 💷 Compensation: Up to £180,000 + Bonus + Benefits 🏢 Client: Prestigious Trading Firm 🚀 Kickstart Your Career in Technology & Quantitative Finance Just graduated and ready to launch your career at the intersection of technology, mathematics, and finance? Join an elite global trading firm where innovation drives everything — no legacy systems, no bureaucracy, just cutting-edge tech and world-class mentorship. You’ll work on greenfield projects from day one, collaborating with exceptional engineers, quants, and researchers to build the systems and models shaping the future of global trading. 🔧 What You’ll Do • 🧠 Design and enhance advanced trading systems and analytics platforms, • 📊 Develop and implement your own quantitative models and research ideas, • 🤝 Collaborate closely with top technologists, quants, and portfolio managers, • 🚀 Learn fast, build fast: develop technical and analytical expertise in a performance-driven culture ✅ What You’ll Bring • 🎓 Degree in Computer Science, Mathematics, Physics, Engineering, or another STEM discipline, • 💻 Strong programming skills in Python, C++, Java, C#, or KDB+/Q, • 🔍 Analytical mindset with a passion for tackling complex, data-driven challenges, • ⚡ Curiosity, drive, and the ability to thrive in fast-paced, intellectually demanding environments 🌟 Why Join • 🌍 Greenfield Work: Contribute to high-impact projects from day one, • 🧠 Exceptional Mentorship: Learn from world-class engineers and quantitative researchers, • 🛠 Cutting-Edge Tech: Access the latest tools, infrastructure, and computing resources, • 📈 Fast Career Growth: A meritocratic culture that rewards innovation and initiative If you’re a motivated STEM graduate eager to make an immediate impact in high-performance technology or quantitative finance, we’d love to hear from you. 📧 Apply now or reach out to me directly:

Are you an experienced and ambitious Maths teacher looking for the next step in your career? A high-achieving, dynamic and supportive all-through school in Tower Hamlets is seeking a dedicated Lead Teacher of Mathematics to drive excellence in teaching and learning within the department. Lead Teache

This is an exceptional opportunity for a STEM Graduate with a first-class degree to join an esteemed secondary school in Harrow as a Teaching Assistant. If you are a STEM Graduate passionate about science, technology, engineering, or mathematics and inspiring the next genera. STEM Graduate | Harrow

Mathematics Graduate Teacher Independent Sixth Form College Permanent Contract London Connaught Education is currently supporting one of the foremost independent colleges in London to appoint a Mathematics Graduate Teacher on a permanent basis, the role is due to start as soon as possible depending