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Paragon Alpha are partnered with one of the worlds most prominent multi-strat hedge funds, looking to make a Data hire in London to support quant equities strategies. This data team helps to build cloud based and scalable data-lakes for MFT and HFT quant teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform, but at the same time someone comfortable with communicating technical solutions to non technical investment staff. If you want the chance to harness your data skills and apply them directly to trading strategies, please do apply!

Lead Data Product Analyst London (Hybrid) No sponsorship £90,000 – £110,000 + Bonus We’re hiring a Lead Data Product Analyst to join a high-growth, data-driven business where analytics sits at the core of product and commercial decision-making. This is a key leadership role focused on product analytics, experimentation, and data strategy, working closely with product and engineering teams to shape roadmap decisions and drive measurable impact. What you’ll be doing Leading product analytics across key customer journeys and digital products Owning experimentation strategy, including A B testing and hypothesis design Partnering with product and engineering to influence roadmap and prioritisation Defining KPIs and building scalable reporting frameworks Translating complex data into clear, actionable insights for senior stakeholders Mentoring and supporting analysts within the team What we’re looking for Strong experience in product analytics and experimentation Advanced SQL and solid Python skills Experience with modern data stacks including dbt Background in a high-growth tech company or startup environment Proven ability to influence product decisions through data Strong stakeholder management and communication skills This is a great opportunity for someone who wants to take ownership of product analytics in a fast-paced environment and play a key role in scaling a data-led product function

Equities Quant Developer (Python) – Madrid Madrid £80,000 – £130,000 Build the systems that shape portfolio decisions at a leading multi-strategy hedge fund - while based in Madrid. This is a role for someone who enjoys owning real products end-to-end. You’ll work directly with portfolio managers and strategy teams, turning messy datasets into tools, dashboards, and analytics that actually drive investment decisions. It’s less about theory-heavy modelling and more about building robust, production-grade systems that people rely on every day. Think: decision-support tools, performance analytics, and data pipelines that turn raw information into actionable insight. You’ll get London-level compensation, but with a Madrid lifestyle - and a high degree of autonomy in how you build and ship. What you’ll do • Design and build end-to-end applications that support strategy, from data ingestion through to front-end dashboards and visualisation tools., • Work directly with PMs and analysts to understand problems, define requirements, and deliver practical solutions that improve decision-making., • Develop systems that analyse performance, evaluate strategies, and surface insights from large and often messy datasets (including alternative data)., • Own your work fully: from initial idea and architecture through to deployment, iteration, and long-term maintenance., • Collaborate with technology and AI teams to scale tools and integrate them into the broader investment platform. What you’ll need • Strong Python skills (core requirement), with experience building production-grade applications and working with large datasets; SQL expected., • Around 2+ years’ experience in a quant dev, data, or similar engineering-focused role., • Ability to operate independently: comfortable taking problems from vague idea to a fully working solution without heavy structure or hand-holding., • Experience building full-stack or end-to-end systems (data pipelines, back-end services, dashboards/visualisation layers)., • Solid grounding in data science/statistics and experience working with time-series or structured datasets., • Strong ownership mindset: you write it, you run it, you improve it. Nice to have • Exposure to financial markets or equities., • Experience working with alternative data or investment teams. About the company A leading London-based multi-strategy hedge fund, known for combining technology, data and quantitative thinking across its investment teams.

Senior Credit Risk Modelling Consultant Campion Pickworth are partnering with a leading firm to appoint a Senior Credit Risk Modelling Consultant. This role offers the opportunity to work at the intersection of risk modelling, analytics, and regulation, supporting financial institutions in strengthening credit risk measurement including the use of AI driven modelling. What you’ll be doing: • Delivering credit measurement modelling and analytics services across engagements, • Supporting first line teams in developing new models or enhancing existing ones, as well as contributing to second and third line oversight and review activities, • Designing and improving broader credit measurement approaches, including areas such as data, controls, insights, and model risk, • Contributing to enhancements in data, governance, and reporting frameworks What we’re looking for: • Strong credit modelling capability, with experience across development, delivery, or validation of models within IFRS9, IRB, or stress testing environments, • Awareness of relevant regulatory frameworks, • Strong analytical and programming skills, with Python required and familiarity with tools such as SQL, R, SAS, or Excel considered beneficial, • Good understanding of credit risk concepts across a variety of asset classes What this role provides: • Opportunity to gain exposure to a range of analytical and risk-related projects, • A supportive and collaborative team environment, • Ongoing development and learning opportunities, • Flexible and hybrid working options

Lead Actuary (Predictive Modelling) - Salaries up to £135,000 I am currently conducting a search for a leading syndicate that is looking for a lead actuary to join their collaborative team in London. The ideal candidate would be a qualified actuary with 3+ years of experience since qualification, hold experience in predictive modelling and pricing, with a strong skillset in python and developing automated processes. What is on offer? • Competitive base salaries and overall package, • Collaborative work across various actuarial teams, • A platform for you to shape and influence how the future of pricing and automation will look like If you are interested in finding out more, please reach out to me via LinkedIn or email to discuss further in confidence. #insurance #pricing #actuarial

Senior Full Stack Engineer | London | £80,000 – £150,000 | Python | React Location: London (hybrid) Salary: £80,000 – £150,000 + meaningful equity Hiring for mid-senior-lead levels! Tech Stack: • Backend: Python (Flask, FastAPI), • Frontend: React, TypeScript, • Cloud: GCP or AWS Do you like building software that actually gets used? Not demo-ware. Not slide-ware. Real systems, in production, powering real businesses. We’re partnered with a Series A AI company building automation software embedded directly into the operational core of fast growing organisations. This is production critical, customer facing, revenue impacting software used daily at scale. This is a hands on role for engineers who want ownership, speed, and genuine influence over product direction. No endless layers. No process theatre. Just smart people building important things properly. What you’ll be doing: • Designing and scaling backend services and APIs in Python using Flask and FastAPI, • Building intuitive, high quality front end experiences in React and TypeScript, • Integrating AI models and third party systems into robust production workflows, • Owning features end to end from concept to deployment, • Solving real production challenges and improving reliability at scale, • Working closely with product and commercial teams to shape what gets built What they’re looking for: • Engineers who ship frequently and care about outcomes, • Strong problem solvers who balance pragmatism with technical quality, • People comfortable taking full ownership rather than waiting for tickets, • Experience building production grade Python backend systems, • Confidence across the stack or deep strength in one area with curiosity for the rest, • A bias for action without compromising on scalability They value simplicity over over-engineering, accountability over hierarchy, and progress over perfection. What you can expect: • Competitive salary and meaningful equity upside, • Hybrid London working with regular in person collaboration, • International exposure as the company scales, • Strong benefits package If you want to build software that sits at the heart of how companies operate, move fast, and see your impact immediately, this is worth a conversation.

About Native Native is a VC-backed AI startup building the world’s most accurate AI for database reasoning. This is hard. This is an unsolved problem that, once solved, will change how every enterprise operates. We recently published our results, achieving rank #1 on the industry-standard benchmark. Our research team is based in London. Everyone has high agency, is obsessed with the problem we are solving, embraces the intensity of a 6-day week, and has the ambition to build something world-changing. We are exceptional engineers and researchers taking a novel approach to accurate database reasoning. About the role This is a founding Data Engineer role, with the opportunity to shape our data and backend architecture from day one. • Productionise research into robust, scalable data and backend systems, • Design and build data pipelines and APIs used by internal systems and customers, • Work deeply with databases (SQL, complex schemas, real-world, messy enterprise data), • Design and operate data ingestion, transformation, and validation workflows, • Own scaling, performance, reliability, and correctness of data systems, • Design for observability, reproducibility, and data quality, • Think through edge cases, failure modes, and system boundaries in real-world data, • Help shape the data and backend architecture of the company from its earliest days Required experience • Strong experience with Python in production data or backend systems, plus familiarity with at least one additional backend language (e.g. Rust, Java, Go), • Experience building and running production data systems (pipelines, storage layers, APIs), • Deep comfort working with SQL, schemas, and complex relational data, • Experience with real-world data issues: missing data, inconsistencies, schema drift, scale, • Comfortable turning ambiguous research ideas into reliable data infrastructure, • Solid understanding of APIs, databases, and distributed systems, • Engineering taste: you care about clarity, correctness, and trade-offs, • High ownership mindset. You ship, you own, you improve Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will help push the frontier of AI-native data systems in an under-explored, massively valuable domain, • Team: A small, collaborative, world-class research and engineering team based in central London, • Founding-level equity + competitive salary: Meaningful ownership alongside a salary that lets you focus on building something great, • Direction: Shape the data foundations of a new class of AI system from day one Culture At Native, we look for people with exceptional engineering ability who want to win. Everyone loves building and is ambitious enough to want to change how the world operates for the better. • We run towards hard problems, • We are creative problem solvers who keep going until we find the underlying principle, • We build systems that must be correct, robust, and trusted, • If you have an entrepreneurial spirit, are intrinsically motivated, and want to have a huge impact, we are a great fit

Overview A leading multi-billion dollar hedge fund is seeking a Quantitative Researcher to join its established Index Rebalancing team in London. The team focuses exclusively on capturing alpha from index-related events and benchmark-driven flows across global equity markets. This is a core, scaled strategy within the firm, supported by significant capital, dedicated infrastructure, and a long-standing track record. Role Responsibilities • Conduct research into index rebalancing and benchmark event-driven opportunities, including:, • Index additions and deletions, • Weight changes and reconstitutions, • Corporate actions impacting index composition, • Analyse flow dynamics driven by passive investors, ETFs, and benchmark-tracking mandates, • Model market impact, liquidity, and execution timing around index events, • Develop and refine alpha signals linked to predictable rebalancing flows, • Perform robust backtesting and statistical analysis across global equity markets, • Work closely with portfolio managers and traders to optimise execution strategies, • Contribute to the ongoing development of the team’s research framework and toolset Requirements • Strong academic background in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering, or similar), • 2–6+ years of experience in quantitative research, trading, or data-driven roles, • Experience in one or more of the following areas:, • Index rebalancing / index event strategies, • Equity market microstructure, • Event-driven or flow-based trading strategies, • Understanding of major index providers such as MSCI, FTSE Russell, and S&P Dow Jones Indices, • Strong programming skills in Python (C++/Java a plus), • Experience working with large datasets and time-series analysis For a confidential discussion, contact: To keep up to date with our regular job postings and market updates please follow Point One Talent on Linkedin.

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

Full Stack Data Scientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities • Design, develop, and implement advanced machine learning models and AI capabilities, • Build and maintain knowledge graphs and causal inference systems, • Create probabilistic models to address complex business problems, • Scale AI solutions from proof-of-concept to MVP and full production, • Collaborate with backend engineers on data pipelines and infrastructure, • Work within solution architecture frameworks to ensure AI integration, • Contribute to solution design and technical decision-making, • Translate business requirements into technical specifications Required Skills & Experience • Great experience combining data science with software engineering, • Strong expertise in machine learning, with focus on causal ML and probabilistic modelling, • Experience developing and implementing knowledge graphs, • Proficiency in scaling AI solutions from concept to production, • Working knowledge of backend systems, data pipelines, and ETL processes, • Familiarity with cloud platforms, particularly Microsoft Azure, • Understanding of microservices architecture and distributed systems, • Experience with DevOps practices for AI/ML workflows (MLOps), • Strong programming skills in Python and related data science libraries, • Demonstrated ability to work within solution architecture frameworks Preferred Qualifications • Experience with multiple cloud providers beyond Azure, • Familiarity with container orchestration (Kubernetes), • Knowledge of graph databases and query languages, • Experience with deep learning frameworks, • Background in NLP, computer vision, or reinforcement learning, • Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. We are seeking to hire an experienced Senior/Lead Azure Cloud Engineer/Consultant into our Platform Engineering Practice for a key client project. About the role: • Contribute to and provide leadership qualities in the development and deployment of Cloud technologies with focus and expertise in Azure., • Work individually and as part of a team to carry out end-to-end implementation of Cloud based technologies (public, private and hybrid). Collaborate with cross-functional teams to deliver resilient, production-ready platform capabilities., • Undertake Cloud based solutions activities driving architecture, process and management best practice., • Identify risks within major designs and direct follow up remediation activities., • Advise and assist clients in developing Cloud technology roadmaps., • Regularly undertake complex and/or critical consultative engagements, to a senior management level., • Confidently scope complex and critical projects as well as (high level and detailed) deliverables., • Able to work in a fast-paced project environment and tight delivery timelines., • In addition, design, build, and operate platform infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Ansible., • Develop and maintain automation pipelines and tooling to support provisioning, configuration, and platform services., • Implement and improve CI/CD workflows to accelerate platform delivery., • Enhance reliability, scalability, and performance of platform services., • Write automation logic and integrations in Python, Powershell or Golang, especially for infrastructure tooling. Hands on experience required :- • Deploying/Managing Azure and/or Designing/Architecting Azure solutions., • Experience with Azure Devops (or similar CI/CD tooling)., • Experience with IAC (Terraform or ARM), • Experience with GitLab, GitHub Actions, • Work in an agile, collaborative manner and be adaptable to changing scenarios., • Strong experience deploying Infrastructure-as-Code in an enterprise environment., • Architectural design and deployment skills for enterprise Cloud technologies (public, private and hybrid) into complex environments., • Excellent knowledge of high availability and backup/recovery solutions., • Excellent technical design, performance improvement and service alignment skills., • Experience around business critical and business continuity solutions., • Ability to lead on cloud initiatives and work to tight delivery deadlines. Ideally you will have one or more of the Associate/Expert level Azure certs, e.g. • Azure DevOps Engineer expert; Azure Cybersecurity architect expert; Azure Solutions architect expert. At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow your own path. You’ll benefit by gaining exposure to a wide range of tools and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit.

Job Description: Senior AI Scientist (DV‑Cleared) Location: UK (On‑site, Secure Environment) Clearance: DV Clearable Required Contract: Inside IR35 Start Date: In several months (ideal for candidates completing other engagements) About the Role We are seeking an experienced Senior AI Scientist to support a high‑impact programme within a major UK government department. This role is focused on the development and evaluation of advanced AI systems, with a particular emphasis on Large Language Models (LLMs), agentic workflows, and modern generative AI techniques. You will work in a secure environment, applying cutting‑edge AI methods to complex operational challenges, while influencing the direction of AI adoption within the organisation. This is an excellent opportunity for a senior practitioner who can combine technical depth, research‑grade thinking, and hands‑on engineering—operating with a high degree of independence and responsibility. Key Responsibilities • Lead the design, development, and optimisation of AI models, including transformer‑based architectures and LLM‑driven systems., • Build and assess agentic AI workflows, retrieval‑augmented pipelines, and advanced evaluation frameworks., • Conduct rigorous model benchmarking, statistical analysis, and robustness testing to ensure scientific integrity., • Contribute to the organisation’s broader AI capability growth, best practices, and technical governance. Essential Experience • Must be DV Clearable, • Strong expertise in LLMs, generative AI, and transformer models., • Hands‑on experience with agentic workflows, modern AI toolchains, and evaluation methodologies., • Deep understanding of machine learning, statistical modelling, and optimisation techniques., • Strong programming skills (Python preferred) and experience with modern AI/ML frameworks., • Proven experience delivering AI solutions in complex or high‑security environments. Desirable Skills • Experience with MLOps, LLMOps, or production‑grade AI deployments., • Knowledge of vector databases, RAG, and prompt engineering techniques., • Exposure to government, defence, or national security domains. Who This Role Suits • A senior‑level AI/ML specialist who wants to apply cutting‑edge AI in meaningful real‑world contexts., • An expert comfortable taking LLM‑based projects from concept through evaluation to delivery., • Contractors seeking a forward‑planned assignment with a delayed start date.

As data consultant, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities • Establishing new data integrations within the data foundation, • Conduct ETL activities as conducted by SMEs, • Configuring connections to other datasets within the data foundation, • Collaborate with SMEs to create, test and validate data models and outputs, • Set up monitoring and ensure data health for outputs What we are looking for • Proficiency in Python, with experience in Apache Spark and PySpark, • Previous experience with data analytics softwares, • Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? • Base salary of £70,000-£80,000, • £5000 a year professional development budget, • Wellness program, • 25 days annual leave, • Hybrid working arrangements Please note that successful candidates must be eligible for UK security clearance

Job Title: Senior Trading Application Support Engineer Client: Elite Quantitative Hedge Fund Salary: Up to £150k + Bonus + Package Location: London (Hybrid/Flexible) Sells: Cutting-edge tech, ownership of multiple greenfield projects, no red tape, a friendly/collaborative environment, beautiful offices, personal projects on Fridays! An Elite Tech Driven Quant Trading Firm is currently hiring for a Trading Application Support Engineer to work as part of an elite cutting edge team. This team have an unlimited tech budget and promote a great culture! KEY RESPONSIBILITES • Working closely with traders to fix issues when they arise, • Evaluate and recommend new technologies, • Working heavily with Python optimizing and automating everything, • Being the point of escalation for complex issues Skills And Experience Required • 5+ years experience in a Production Support role in Capital Markets, • Expertise in Linux, • Experience working in the front office (or knowledge of the full trade lifecycle), • Strong knowledge of Python scripting, • DevOps knowledge is a plus If the above is of interest apply or contact me directly at

VISA Sponsorship not available for this position and you must be based in the UK and be able to commute to central London We are working with a leading institutional investment organisation to appoint an Investment Risk Manager into their Financial Risk function. This is an excellent opportunity to join a highly regarded team supporting investment decision-making across a large, sophisticated portfolio. The Opportunity This role sits within a second-line risk oversight function, focused on enhancing investment risk analytics and supporting scheme-level decision-making. You will play a key role in delivering high-quality risk insights across a multi-asset portfolio, working closely with senior stakeholders across investment, risk, and governance functions. Key Responsibilities • Produce and enhance investment risk reporting across market, liquidity, collateral, and counterparty risk, • Deliver insightful analysis and commentary on risk exposures and drivers, • Support oversight of investment activities, including asset allocation and liability-driven strategies, • Contribute to committees and forums, including risk and investment governance groups, • Assist with the development of reporting automation and data visualisation tools, • Support ongoing projects to improve risk frameworks and analytics capabilities Candidate Profile • Experience in investment risk, ideally within asset management, pensions, or a relevant financial institution, • Strong understanding of multi-asset portfolios and risk frameworks, • Exposure to risk systems such as MSCI RiskManager or BarraOne is advantageous, • Technical capability with tools such as Python, SQL, or Power BI, • Strong analytical mindset with the ability to interpret and communicate complex risk concepts, • Self-starter with a collaborative approach and strong stakeholder engagement skills Why Apply • High-impact role with exposure to senior investment decision-making, • Opportunity to work across a broad range of asset classes and risk types, • Collaborative and intellectually stimulating environment, • Flexible working culture within a well-established institutional platform If this is of interest, or you would like to discuss the role in more detail, please apply directly or reach out for a confidential conversation. Please note this is an FTC so you will have to be immediately available or available at short notice to apply. You will also have to match the requirements as this is a short term engagement.

Rev & Regs is supporting our Corporate Banking client in Central London, with this new 'Regulatory Reporting Specialist' role. This is a 6-month fixed term contract role initially, strong likelihood that this will extend and possibly go Permanent. Job Title: Regulatory Reporting Specialist Department: Finance Reporting to: Chief Financial Officer Location: London, UK Role Overview: We are looking for a detail-oriented Regulatory Reporting Specialist to support the production of accurate, timely and compliant regulatory returns. The role sits within the Finance team and works closely with Risk, Treasury, Operations and external auditors to ensure adherence to UK prudential, statistical and supervisory reporting requirements. Key Responsibilities: Regulatory Reporting • Prepare and validate regulatory returns including COREP (Own Funds, Leverage Ratio, Large Exposures, Credit Risk)., • Support liquidity reporting including LCR, NSFR, ALMM and PRA110., • Assist with statistical and regulatory returns such as BT, ELS, SL, MLAR and FSA017., • Support preparation and submission of FINREP (F1–F12)., • Ensure all submissions are accurate, complete and compliant with regulatory requirements., • Ensure integrity and accuracy of data used in regulatory reports., • Perform variance analysis, reconciliations and data quality checks., • Monitor regulatory developments across CRR/CRD, Basel, PRA Rulebook and statistical reporting requirements., • Assess the impact of regulatory changes and support implementation., • Work closely with Finance, Risk, Treasury and Product teams., • Support responses to regulatory queries and information requests., • Identify opportunities to improve reporting processes and controls., • Support system enhancements, reporting automation and regulatory technology initiatives. Knowledge & Experience Essential • Experience in regulatory reporting within banking or financial services., • Strong understanding of PRA, FCA and Bank of England reporting frameworks., • Strong analytical skills with high attention to detail., • Advanced Excel skills and experience working with large data sets., • Experience with RegTech platforms (e.g. AxiomSL, Wolters Kluwer OneSumX, Vermeg, Moody’s)., • Familiarity with IFRS, capital or liquidity risk reporting., • Basic coding or automation skills (SQL, Python, VBA)., • Clear communicator able to simplify complex regulatory concepts., • Proactive, organised and able to meet tight reporting deadlines., • Strong ownership, accountability and attention to detail., • Continuous improvement mindset. Duration: 6-month FTC Salary: £90,000 pro rata Location: 5 days per week in City of London office

Zenith UK AI Data Engineer Our Commitment At Zenith UK, we believe that fostering an inclusive culture where all talent can thrive makes our company stronger. It enables a greater idea exchange, which fosters innovation and creativity, and enriches our perspective.We are committed to Publicis Groupe’s wide variety of talent engagement and inclusion programming, and encourage our people to take an active role in continuing to drive positive change within our agency. This role presents an opportunity to engage deeply with MLOps, vector databases, and Retrieval-Augmented Generation (RAG) pipelines. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply. What You'll Do: As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include: • Design and Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models., • Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build cloud-native data solutions, ensuring efficiency, scalability, and cost-effectiveness., • Power Generative AI: Develop and manage specialized data flows for generative AI applications, including integrating with vector databases and constructing sophisticated RAG pipelines., • Champion Data Governance & Ethical AI: Implement best practices for data quality, lineage, privacy, and security, ensuring our AI systems are developed and used responsibly and ethically., • Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks., • Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs, provide technical leadership, and translate complex requirements into actionable data strategies., • Optimize and Operate: Monitor, troubleshoot, and continuously optimize data pipelines and infrastructure for peak performance and reliability in production environments. What You'll Bring: We are seeking a seasoned professional who is excited by the unique challenges of AI data. Must-Have Skills: • Extensive Data Engineering Experience: Proven track record (3+ years) in designing, building, and maintaining large-scale data pipelines and data warehousing solutions., • Cloud Platform Mastery: Expert-level proficiency with at least one major cloud provider (GCP-Preferred, AWS, or Azure), including their data, compute, and storage services., • Programming Prowess: Strong programming skills in Python and SQL are essential., • Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as Apache Airflow or Prefect., • ML Data Acumen: Solid understanding of data requirements for machine learning models, including feature engineering, data validation, and dataset versioning., • Vector Database Experience: Practical experience working with vector databases (e.g., Pinecone, Milvus, Chroma) for embedding storage and retrieval., • Generative AI Familiarity: Understanding of data paradigms for LLMs, RAG architectures, and how data pipelines support fine-tuning or pre-training., • MLOps Principles: Familiarity with MLOps best practices for deploying and managing ML models in production., • Data Governance & Ethics: Experience implementing data governance frameworks, ensuring data quality, privacy, and compliance, with an awareness of ethical AI considerations. Bonus Points If You Have: • Direct experience with Hugging Face ecosystem, PyTorch, or TensorFlow for data preparation in an ML context., • Experience with real-time data streaming architectures., • Familiarity with containerization (Docker, Kubernetes)., • Master's or Ph.D. in Computer Science, Data Engineering, or a related quantitative field. Zenith UK has fantastic benefits on offer to all of our employees, full details of which are shared when you join. This includes the classics like Pension, Life Assurance, Private Medical, as well as Reflection Days, Shared Parental Leave, and spans other initiatives like: 📖 Please check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). At Zenith UK, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We’ll work with you to ensure the process works for you. Sharing this information will never impact your application. Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included.

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: • Developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem., • Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets., • Leading the full lifecycle of model development, from research and training to validation and performance benchmarking., • Mastering model export to various formats such as ONNX, OpenVINO, and TensorRT to support a wide range of hardware., • Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices., • Contributing to our CI/CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing. 🛠️ Skills and Experience • 5+ years of hands-on experience in Computer Vision and Deep Learning., • Expert-level proficiency in Python and deep expertise with PyTorch., • Strong practical experience with OpenCV for image and video processing tasks., • Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family., • Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO., • Experience with MLOps tools and practices, including version control (Git), Docker, and CI/CD with GitHub Actions., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment., • A strong portfolio of projects or contributions to open-source AI repositories. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge AI projects and our Ultralytics HUB., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

Surveillance Analytics Lead – Fixed Income London Our client, a leading FinTech firm at the heart of electronic trading platforms, are looking for a Surveillance Analytics Lead to help modernise and elevate a global Fixed Income surveillance framework. This is not a traditional alert-review role - the ideal candidate is a hands-on surveillance specialist who enjoys building, optimising and refining detection frameworks, shaping alert logic, and embedding data-driven methodologies across a complex trading environment. You will play a key role in transforming a legacy surveillance capability into a scalable, AI-ready, analytics-driven control framework. The environment is collaborative, cross-functional and strategically focused, with direct exposure to senior stakeholders and meaningful influence over future surveillance architecture. The Role • Design, calibrate and optimise surveillance alert scenarios across Fixed Income asset classes, • Reduce false positives while maintaining high detection sensitivity and regulatory robustness, • Integrate new business initiatives into the surveillance framework, • Prepare, clean and model large trade, order and market datasets, • Use Python (NumPy, Pandas, Matplotlib) and SQL to drive data-led insights and alert calibration, • Build expert-level Tableau dashboards for alert activity, calibration outcomes and executive reporting, • Support the evolution of AI-driven surveillance capabilities and data automation, • Influence stakeholders across Compliance, Technology, Risk and Front Office globally Core Requirements • Deep Fixed Income market knowledge (bonds, repos, swaps, credit derivatives), • Strong experience designing, tuning and calibrating trade surveillance alerts, • Advanced Python, SQL and Tableau capability (data preparation, analytics, visualisation), • Strong statistical knowledge (distributions, regression, clustering, anomaly detection), • Experience preparing structured and unstructured datasets for AI/ML applications This role sits between Surveillance Specialist and Surveillance Lead - offering immediate ownership and delivery responsibility, with a clear pathway into formal leadership as the function continues to scale.

Head of Data & AI Engineering London (Hybrid: 3 days office / 2 days remote) Permanent | Leadership | Data, AI & Cloud Engineering Overview An exciting opportunity for a Head of Data & AI Engineering to lead a core technology function within a digital-first financial services organisation. This role is central to a major transformation programme, focused on building cloud-native data platforms and embedding AI-driven automation to improve decision-making, operational efficiency, and customer outcomes. The Role You will lead teams delivering data pipelines, analytics platforms, and AI-powered solutions on Google Cloud. A key focus will be driving the adoption of large language models (e.g. Gemini) to enable intelligent automation and natural language interactions. You will also define best practices across data engineering, MLOps, and LLMOps, ensuring scalable, secure, and high-quality solutions. Working closely with Architecture, Risk, and Compliance teams, you will ensure responsible and compliant AI deployment. Key Responsibilities • Build and operate cloud-native data platforms (BigQuery), • Deliver batch and real-time pipelines (Dataflow, Pub/Sub, Cloud Storage), • Drive AI and LLM-based automation initiatives, • Implement MLOps and LLMOps best practices, • Set standards for data quality, security, and resilience, • Lead and develop data and AI engineering teams, • Collaborate with stakeholders across the business Experience Required • Proven leadership in data or AI engineering, • Strong technical background (Python, or Go/Java/Scala), • Experience delivering cloud-native data/AI platforms, • Deep knowledge of GCP (BigQuery, Dataflow, Pub/Sub, Vertex AI), • Experience with LLMs (e.g. Gemini or similar), • Familiarity with Airflow/Composer and dbt, • Understanding of data governance and financial services regulation, • Strong stakeholder management skills What’s on Offer • Competitive salary + bonus, • 25–30 days holiday (option to buy more), • Pension, healthcare, life assurance, • Hybrid working, • Learning & development opportunities, • Additional lifestyle and wellbeing benefits

OUR ORGANISATION Twelve Securis, formed from the merger of Twelve Capital and Securis Investment Partners, is a leading, founder-led business and one of the largest, most experienced insurance-focused investment managers globally. With offices in London, Zurich, Munich, Bermuda and Tokyo we manage in excess of USD 9.5 billion in assets primarily in Catastrophe (Cat) Bonds and other Insurance-Linked Securities (ILS). THE ROLE We are hiring an Operations Analyst with a strong background in investment operations on a permanent, full-time basis to join a dynamic working environment. The position is based in our London office and will support core functions as outlined below. MAIN RESPONSIBILITIES • Accurately and efficiently process investment transactions, including trade capture, confirmation, and settlement., • Liaise with front office, dealers, custodians and counterparties to process security settlements, • Investigate and follow-up on outstanding trade confirmations and failed trades, • Perform daily reconciliations of investment records with custodian and counterparty statements to identify and resolve discrepancies, • Identify and implement process improvements to enhance operational efficiency and reduce risk, • Ensure all transactions and operations comply with relevant regulations and internal policies, • Maintain and update internal and external systems with investment and product reference data, • Support product lifecycle events (e.g., onboarding of new funds, fund restructurings, and fund liquidations), • Assist in the testing and implementation of new systems and enhancements., • Handle internal as well as external ad-hoc requests, • University degree (BA equivalent) and/or 2-5 years’ relevant experience in Operations/Middle Office within the Investment Management industry, • Solid understanding of financial instruments (fixed income, equities, FX, futures, swaps, etc.), • Comprehensive trade settlements knowledge with experience using Omgeo CTM and Alert is an advantage, • Process-oriented with strong analytical skills and attention to detail, • Ability to handle multiple tasks with tight delivery schedules, • Advanced Excel knowledge, • Experience with VBA, SQL and Python is an advantage, • Team-oriented, with a proactive, positive approach to tasks, • Excellent command of English both written and spoken, • Opportunity to work in a fast-growing segment of the asset management industry At Twelve Securis, we champion equal opportunities, recognising and valuing the distinct contributions each individual offers. Our dedication is to cultivate an inclusive environment that nurtures diversity, inviting everyone to be part of our team and express themselves sincerely at work. eFCSoSe

Visualisation & Tools Analyst Central London - hybrid Salaries in the region of £44,000 DOE J13066 Candidates must have the right to work in the UK without sponsorship requirements A fantastic opportunity to work for a global strategy consulting firm, working with senior executives across the world on some of the most exciting strategic problems and questions. Specialising in technology, media, retail, B2B, private equity and more. Committed to fostering an inclusive culture in which people of all backgrounds can thrive. Encouraging applications from all, regardless of age, sexual orientation, gender identity or gender expression, transgender status, disability, marital status, pregnancy or maternity, religion or belief, race or ethnic origin, and socioeconomic background. Also have a number of staff network groups which actively support the inclusion of all of colleagues across the business. Joining a relatively new but established team, you will help to strengthen the ability to support both clients and internal projects. Duties • Reporting and tools explicitly made for internal use with no commercial purpose. This section is dominated by business intelligence reporting but also includes other elements, such as internal surveys., • Skills, • Working on-project client work that involves building end-to-end tools and ready-to-use reporting., • Work on larger projects which have a long term commercial purpose that will feed into multiple client project outputs. Taking the form of tools that do repeatable tasks or even as proprietary data set intended for client work long term., • Building user friendly tools that query third party API’s to understand client competitor market share Experience • Degree in a quantitative subject, • Exceptional quantitative and qualitative problem-solving skills, • Proficiency and working experience in Python and Excel, • Familiarity with writing readable, maintainable code. Strong data quality habits including: validation checks; deduping; handling imperfect data., • Curiosity-driven with a willingness to learn, • Self-starter mindset and can-do attitude, • Comfortable communicating and engaging internal and external stakeholders, • Collegial and collaborative working style If this role sounds right for you, please apply today. Alternatively, you can refer a friend or colleague by taking part in our excellent referral scheme. For every suitable candidate you introduce to us (with no limit) who is successfully placed, you will be eligible for our standard gift/voucher reward. Datatech is one of the UK’s leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, please visit our website:

Job Title: Data Scientist Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role Purpose At Travelex, data is at the heart of every decision we make. We rely on advanced analytics and deep insights to power our products, optimise our processes, and uncover new opportunities. We are seeking an experienced Data Scientist with strong statistical expertise, analytical curiosity, and creative problem-solving skills to join our growing team. In this role, you will work closely with cross-functional teams to extract meaning from complex data, design predictive models, and translate insights into measurable business value. You’ll be instrumental in shaping how data informs strategy and drives innovation across the organisation. Objectives -Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation. -Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems. -Translate analytical findings into clear, actionable insights that drive strategic decisions. -Embed data science and AI solutions into key business processes to enable intelligent automation. -Stay current with the latest developments in data science, AI frameworks, and responsible AI practices, and champion their adoption across teams. Responsibilities -Act as a data strategist to identify, integrate, and leverage new data sources through product capabilities. -Collaborate with engineering teams to build, test, and deploy scalable data products and predictive models. -Execute analytical experiments to address challenges across multiple business domains. -Mine and process large structured and unstructured datasets to extract meaningful features and patterns. -Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements -3+ years of experience in data science or a related field. -Proven expertise in data mining, statistical modelling, and machine learning techniques. -Advanced experience in pattern recognition, predictive modelling, and feature engineering. -Proficiency in Python and SQL, and a solid grasp of software engineering best practices. -Strong understanding of data structures, model evaluation, and experiment design. -Experience with data visualisation tools and communicating insights effectively. -Familiarity with MLOps frameworks, CI/CD pipelines, and model deployment. -Good knowledge of cloud-based data platforms (e.g. AWS, Databricks, Azure) -Knowledge of data governance and ethical AI principles. -Excellent communication skills, with the ability to translate technical results into business impact. -The ability to explain, brainstorm, present, simplify, clarify, prioritise, document, listen, negotiate and compromise. -Your own unique style or way of working, which will make our team diverse and original. Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Lead Gen AI Engineer/ Architect London - Flexible Working Options Available £80,000-£90,000 + Bonus + Benefits Do you want to be at the heart of some of the biggest and most ambitious AI & Data programmes in the market? We’re hiring experienced Lead GenAI System Architects to join a world-class AI Institute – a centre of excellence driving cutting-edge Engineering, AI & Data innovation. You’ll work with senior leaders, global clients, and multidisciplinary teams on transformative Generative AI initiatives that redefine how organisations operate. This is a senior, hands-on role for someone who blends deep technical expertise with the ability to influence at board and C-suite level. • Shape and deliver enterprise-scale AI & Generative AI strategies aligned to real business outcomes., • Design, build, and deploy end-to-end AI pipelines – from data ingestion to secure, scalable production systems., • Lead the development and operationalisation of advanced models, including LLMs, diffusion models, and other generative techniques., • Architect production-grade RAG systems, evaluation frameworks, and responsible AI guardrails., • Stay at the forefront of AI research, translating emerging capabilities into practical, high-impact solutions., • Mentor and lead cross-functional AI teams, building reusable assets and delivery excellence. Background & Experience • PhD or equivalent in Computer Science, ML, AI, or a related field (or outstanding equivalent experience)., • Extensive experience designing and deploying enterprise AI/ML solutions in production., • Proven leadership of technical teams and senior stakeholders., • Deep domain experience in regulated or data-rich industries (e.g. financial services, healthcare)., • Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence • Expert Python and modern ML frameworks (PyTorch, TensorFlow)., • Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar)., • Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security., • Hands-on experience with fine-tuning, deploying, and monitoring large-scale GenAI systems., • Strong MLOps / LLMOps capability: CI/CD, monitoring, governance., • Cloud expertise across AWS, Azure, and/or GCP (cloud-agnostic preferred)., • Ability to communicate complex AI concepts to non-technical audiences.

Senior GenAI Platform Engineer / Senior AI/ML Platform Engineer Hybrid – London A rapidly scaling AI innovator is searching for an exceptional Senior GenAI / AI‑ML Platform Engineer to play a pivotal role in shaping and advancing their next‑generation intelligence platform. This organisation is building high‑performance, real‑time AI systems that support demanding financial and enterprise clients globally, and this position sits at the heart of their most advanced technical developments. The Role As a senior member of the platform engineering team, you will architect, build, and optimise the underlying infrastructure that powers cutting‑edge GenAI and machine learning workloads. This includes large‑scale model deployment, distributed systems design, high‑throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‑ and ML‑driven features. This role is ideal for someone who thrives in fast‑moving environments, enjoys deep technical problem‑solving, and wants their work to have immediate real‑world impact. Responsibilities • Design and build scalable, production‑grade GenAI and ML platform components, • Develop infrastructure for training, fine‑tuning, evaluating, and deploying large models, • Create internal tooling enabling fast model experimentation and automated workflows, • Optimise and scale distributed systems and vector‑driven architectures, • Implement robust observability, reliability, and performance engineering practices, • Collaborate closely with data scientists, ML engineers, and product teams, • Champion platform best practices, architectural improvements, and automation What You’ll Bring • Extensive experience building and deploying distributed ML or LLM systems, • Expertise in Python, cloud platforms (AWS/GCP/Azure), and Kubernetes, • Strong knowledge of MLOps, model orchestration, and CI/CD for AI systems, • Background in embeddings, vector databases, LLM fine‑tuning, or inference optimisation, • Ability to balance high‑level architectural thinking with hands‑on engineering, • A mindset focused on performance, reliability, and scalability What’s On Offer • A chance to help define the technical direction of a rapidly growing AI product, • Complex technical challenges with direct impact, • Hybrid London working f you enjoy solving deep technical problems and want to build the infrastructure behind next‑generation AI intelligence systems, this is an opportunity worth exploring.

Gen AI Architect Hybrid, London £120k + We are seeking an experienced AI Architect to join a global consulting team. This role is central to shaping enterprise-scale AI transformations, combining deep technical expertise with strategic client engagement. As a Gen AI Architect, you will: • Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions., • Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines, • Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy., • Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments., • Drive thought leadership through client workshops, industry forums, and technical advisory., • Ensure AI solutions meet governance, ethics, and responsible AI standards., • Collaborate with internal teams and global partners to deliver world-class AI platforms. Key Skills & Experience: • 10+ years of technical leadership (with a strong background in Software Engineering / Enterprise scale architecture), • Knowledge of GenAI operations (ideally, experience governing AI models in production environments), • Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems., • Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering., • Proven ability to engage directly with CxO-level stakeholders., • Experience in MLOps, AI governance, and large-scale deployment., • Recognised professional certifications in AI or cloud technologies. If you have these skills and would like to find out more, please apply now.

Pricing Analyst 📍 London (Hybrid) I’m partnering with a global eCommerce marketplace operating in 150+ countries, currently investing heavily in its data and pricing capabilities. With millions of products and customers worldwide, pricing plays a critical role in how the business optimises margin, demand and customer value. They are now looking for a Pricing Analyst to join their growing analytics team and help drive data-led pricing decisions across the business. The Role This position sits within a central analytics function and focuses on pricing analysis, experimentation and performance insights across a large product catalogue. You will work closely with commercial, product, and engineering teams to analyse pricing performance, test new strategies and support the evolution of the company’s pricing systems. Key responsibilities include: • Analysing large datasets to identify pricing opportunities and commercial insights, • Designing and evaluating pricing experiments and A/B tests, • Supporting the development of pricing models and strategies, • Building dashboards and analytical outputs to monitor pricing performance, • Partnering with stakeholders across commercial, product and data teams, • Helping shape the future of pricing within a fast-growing global marketplace What They’re Looking For • Experience in pricing, commercial or data analytics, • Strong SQL skills (Python beneficial), • Experience analysing large datasets, • Exposure to experimentation, modelling or statistical analysis, • Ability to translate data into clear commercial recommendations, • Experience in eCommerce, retail, marketplaces or digital platforms is highly beneficial Why This Role? • Work for a profitable global eCommerce business, • Huge product catalogue and complex pricing environment, • High visibility across commercial leadership, • Strong data culture with growing analytics investment, • Hybrid working and collaborative environment 📩 If you're interested in learning more, feel free to apply or message me directly for a confidential discussion.

Job title: Network Engineer Client: FinTech Salary: £80,000-£120,000 + Bonus Location: London Experience: 5-10 Years Skills: Low Latency, Routing and Switching, Python, Automation The role: My client, an Elite FinTech organisation, are looking for a mid-level Network Engineer to join their team. Key Responsibilities: • Building, automating and ensuring reliability of low-latency networks, • Identifying areas for improvement, • Network monitoring, • Working on monitoring solutions, • Being a part of change and code reviews Skills Required: • Strong Routing and Switching experience, • Low Latency experience highly desirable, • Network Automation – Python / Ansible, • Wireless experience a distinct advantage Please apply ASAP for more information.

• Job Title – 6mths Fixed Term Contract Operations Analyst -Equities & Fixed Income Operations, • Working Model – In Office (4:1 Days Model) 4 Days in the Office and 1 Day WFH (London Office)., • Compensation - £50,000 to £65,000 (GBP) fixed base salary + benefits + discretionary bonus (pro rata over 6mths), • RIGHT TO WORK - Full UK Right to Work – no restrictions to work up till Oct 2026. (Applicants must have an approved PSV - Post Study Visa, valid till Oct 2026 to be considered for this role). A multi asset hedge fund in London is looking to hire a Fixed Term Contract Operations Analyst - Hedge Fund, to support its Equities and Fixed Income Operations Middle Office Trading Operations team in London on a Fixed Term Contract up till end Sep/Oct 2026 in London. This is a unique opportunity for Fixed Term Contract Operations Analyst - Hedge Fund, to support a fund that is undertaking a major migration and therefore looking to hire on a Fixed Term Contract till end of Sep / Oct 2026. The project is due to last for up to till end of Sep / Oct 2026, and the business is looking to augment Operation support to the front office by hiring experienced Equities and Fixed Income Operations Analyst with experience across trade Operations, coupled with the opportunity to support projects. The business is looking for Ops Middle Office Equities and Fixed Income trade settlements experience, and direct experience processing trade life cycle events (Corporate Actions, and Fixed Income Coupons) covering processes, procedures, systems within Trading Operations and looking for for hires with advanced IT skills in Excel and Python to be based in London office. The business covers all traded assets classes, Cash Equities and Fixed Income products and processing life cycle events. Corporate Actions, Coupons on Fixed Income and is a Middle Office Ops role! More about the Hedge Fund Trading Operations Group - · The business has seen double digit growth over the last few years, and on for another profitable year and openly expanding its assets under management and investment strategies. · Products covered – Equities and Fixed Income. · The role will be diverse in nature, covering Equities and Fixed Income Middle Office Trade Operations, trade affirmations, trade enrichment (reconciliations / settlements) and trade life cycle management (Corp Actions across Equities, and Coupons for Fixed Income). · The business is genuinely focused on cross training and supporting Trade Operations Analyst with expertise in one or more assets classes, across Equities and Fixed Income. Due to the high performing nature of this fund, the business is looking for Operations / Middle Office Analyst to move into the buy side. Prerequisite Requirements - Fixed Term Contract Operations Analyst - Hedge Fund, till end of Sep / Oct 2026. · You must have 2-8 years experience Trading Operations - covering life cycle management trade processing. Equities and Fixed Income - life cycle events. Candidates must have direct life cycle event processing experience- this will be covered in the 1st screening call. First hand experience across - the following Coupons and Corporate Actions, Middle Office Trading Operations, working for Hedge Fund, Tier 1 Investment Bank, or top tier Investment Manager or High Frequency Trading Firm. · Working Product Knowledge across Equities and Fixed Income is required, and any Advanced Excel VBA (Macros) is highly desirable · Systems Coverage across Ops Platforms, Advanced Excel (edit and write Macros) and Python. · Prior proven experience and examples do projects and process improvements that you have led, to drive operational excellence, efficiencies, generate cost savings and improve accuracy. · A positive attitude of continuous improvement and clear examples to reflect his in you CV. · Excellent written and verbal communications skills. Compensation package - £50,000 to £65,000 base salary + benefits (Fixed Term Contract) If you are looking to work for the top fund in London, apply now! Applicants are asked to clearly present their transferable skills, experience, and academic qualifications. Applicants must have full UK Right to Work – up till Sep / Oct 2026. No Sponsorship is offered.

Principal Data Scientist London - UK- WIDE TRAVEL EXPECTED If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs. THE COMPANY This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges. THE ROLE As a Principal Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building. • Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements, • Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end, • Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard, • Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders, • Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics YOUR SKILLS & EXPERIENCE • Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery, • Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact, • Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches, • Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement), • Hands-on experience building models and turning prototypes into robust, production-ready solutions, • Experience leading teams or technical workstreams in a project environment, • UK citizenship (for security clearance purposes) and willingness to travel across the UK 2–3 days per week, depending on client needs Nice-to-have experience: • Background in a consulting environment or a high-performing in-house DS/AI team, • Exposure to sectors such as defence, public sector and consumer/retail, • Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential), • A mix of technical, product and operational experience – comfortable talking both code and business outcome

Senior Full Stack Engineer | London | £120,000 - £160,000+ | Python | React | TypeScript Location: London (hybrid) Salary: £120,000 - £160,000 + equity Tech Stack: • Backend: Python (strong typing, well-structured APIs - Django or FastAPI or Flask), • Frontend: React, TypeScript, • Systems: Data modelling, integrations, platform architecture Are you an engineer who thinks in systems, not tickets? We’re working with a high calibre, early stage team building production grade software around AI systems. Not model building. Not prompt tinkering. The infrastructure, tooling, and platforms that make AI actually useful in the real world. This is an environment for engineers who care about how things are built, not just that they work. A small team with high standards and some serious momentum. What you’ll be doing: • Designing and building well typed backend systems in Python, • Creating clean, scalable frontend architecture using React and TypeScript, • Owning data models, schemas, and system design end to end, • Integrating complex external systems and services into a cohesive platform, • Taking problems from idea to production without layers of process slowing you down, • Contributing to architecture decisions that shape the direction of the product What they’re looking for: • Strong full stack experience with Python and modern frontend frameworks, • Engineers who care about clean design, readability, and long term maintainability, • Experience building and scaling systems, not just shipping features, • Comfort owning ambiguous problems and turning them into production systems, • Product minded thinking and a bias for action The ideal candidate is someone who leans into complexity rather than avoiding it, and gets real satisfaction from solving hard problems alongside sharp, thoughtful people. This means you're a strong communicator who can articulate ideas clearly without overengineering the explanation, and have the humour that keeps a startup environment enjoyable when things get intense. If you’re interested in AI but more drawn to building the systems around it than becoming an AI engineer, this is exactly that sweet spot. If that sounds like your kind of environment, drop me a message at . Senior Full Stack Engineer | London | £120,000 - £160,000+ | Python | React | TypeScript

Employer: DWS Group Title: Senior Equity Portfolio Manager/Engineer – ETFs/Index Investing Location: London About DWS: Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. We’re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. That’s why we are ‘Investors for a new now’. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. This is your chance to invest in your future. Team / division overview The Passive Portfolio Management Team at DWS manages the full range of X-trackers across Equity and Fixed Income Exchange Traded Funds, as well as Segregated mandates, covering a wide range or index providers and array of benchmark types from multiple ESG flavours to Thematics.DWS has a global and integrated investment platform with a strong footprint globally. With presence on the ground in 17 locations, we cover the most important financial markets in the world. Our investment platform employs approximately 900 investment professionals (excluding product specialists), covering both the most important financial markets and regions, and the most important asset classes. You will play a key role as Portfolio Engineer within the team. Role Details: As a Senior Equity Portfolio Manager you will (be): • Carrying out daily management of the index equity portfolios via portfolio construction and trade implementation, • Supporting the management of client flows efficiently, • Managing investment and risk exposures, while determining optimal hedging strategies where applicable, • Determining optimal portfolio strategy to minimize tracking error to index, to ensure trading accuracy across corporate actions and cash flows, • Working on projects geared towards creating efficiency and bringing scale/automation for the overall development of platform, • Working closely with trading desks to determine optimal execution strategies, • Contributing to new and existing product development processes, • Overseeing the Net Asset Value, Portfolio Composition File reconciliations and performance attribution analysis We are looking for: • Strong financial product knowledge across either Equities, Fixed Income or Commodities with exposure to Index, Synthetic, Delta-one or Derivative instruments, • Sound experience from either a Portfolio Management, Trading, Index Research background, with knowledge around portfolio construction, performance & attribution, and related ETF servicing, • Knowledge of index methodologies from key providers including FTSE, S&P, MSCI etc, • Strong quantitative/analytical skills including such as Python, VBA and Excel are highly beneficial, • An understanding of rebalance trading strategies, • Proficiency in all Microsoft Office Applications and capability using Bloomberg, Reuters, Factset, Aladdin and optimisation systems like Barra BPM, Bloomberg Portfolio Management, • Educated to Bachelor’s degree level or equivalent qualification/relevant work experience What we’ll offer you: At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves sand it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone. Some of our core benefits: • 30 days’ holiday + bank holidays, with the option to purchase additional days, • A non-contributory pension scheme, up to 10%, • Physical and Mental Health Well-Being benefits including (but not limited to) Private Medical Cover, a complimentary GP service and the support of Mental Health First Aiders, • Family friendly benefits including generous parental leave packages (supporting all variations of family set-ups), to healthcare plans and travel insurance, • The opportunity to support our CSR strategy which is focused on combatting climate change and achieving greater social justice. You can make donations to our partner organisations or take part in corporate volunteering opportunities in your local communities by providing on hand support. DWS’ Hybrid Working model in the UK is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Employees who wish to sign-up to our Hybrid Working model are required to work in the office two days a week, and given the flexibility to work from home for the remaining three. Some business groups may need you to spend more time in the office, but this will be discussed and made clear as part of your application and interview process. We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people. If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you. Our commitment to equal employment opportunity Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. DWS is an equal opportunities employer and we welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations. We are committed to providing a working environment free from harassment, discrimination and retaliation.

Who we are looking for We are seeking an experienced Senior Manager OR Director (SVP to Director Level) to join our Quantitative Finance advisory practice, focused on delivering quantitative solutions to clients. In this role, you will leverage your deep quantitative expertise to advise clients on derivatives modelling, risk and valuation methodologies, contributing directly to their strategic decision-making and business growth. As part of your responsibilities, you will: • Lead small and large multidisciplinary engagement and manage client relationship, • Design and develop quantitative models and analytics tools (e.g. derivatives pricing, market data methodologies, XVA, capital models, market and counterparty credit risk modelling), • Provide thought leadership in quantitative methodologies, pricing techniques, risk and valuation frameworks and industry best practices, • Lead project teams, mentor and supervise junior team members, ensure high-quality deliveries and adhere to model governance upmost standards, • Support content generation and business development initiatives, including identifying new opportunities and developing proposals Your competences Technical: • Post-graduate degree in mathematical finance, science or maths from a top tier university, • Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office, Model validation or Risk functions within financial services, • Solid background in stochastic calculus and data science including AI/ML techniques, • Experience with flow and exotic products in one or more asset classes, • Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development processes and tooling Behavioural: • Strong communication, team spirit and ability to collaborate with relevant stakeholders (e.g. Trading/Structuring/Technology/Risk/Finance), • Strong leadership and drive capabilities, • Excellent problem-solving capabilities and analytical thinking Benefits & Inclusion We offer a competitive UK-aligned package, including: • Competitive salary and performance bonus, • Private medical insurance, including mental health support, • Pension, • 25 days annual leave, • Schemes: Cycle to work, Perks at work, Home and tech, • Training and development opportunities We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.

Fraud Data Analyst About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About our Team: You will be part of a team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers. About the role: As a Fraud Data Analyst, you’ll use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. Your experience with data analysis, investigating suspicious behavior and providing new insights to customers will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage a real-time platform analyzing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce, and On-Demand Services. These tools will allow you to attain a unique perspective of the Internet and every persona connected to it. You’ll be continually collaborating with internal product and engineering teams, customer-facing account teams, and external business leaders and risk managers. The comprehensive policy you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities: • Investigate: Conduct in-depth reviews of complex fraud cases to identify trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate risk., • Analytics: Use your SQL and Python skills to increase our customers’ fraud capture while reducing false positives, conducting offline analysis of customer data to expose patterns and statistically tune policies. Produce executive-level reports and own the end-to-end delivery of your recommendations by writing rules into the ThreatMetrix® decision engine., • Business Intelligence and reporting: Build dashboards & reports to track value delivered by the solution, with an increasing focus on more bespoke external-facing dashboards that surface the most important insights to each customer, • Presentation: Use your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences with non-technical backgrounds, • Customer focus: Scope, plan and deliver customer-focused projects including root cause analysis, reports, dashboards, rule mining and health checks. Demonstrate a professional and customer-centric persona when interacting directly with customers via phone, e-mail, and chat., • Collaborate: Collaborate with ThreatMetrix teams including Products, Engineering, Sales and other Professional Services colleagues around the world to continually redefine best practices Requirements: • Excellent knowledge of Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus), • Extensive analytical and problem-solving skills, with a deep curiosity, • Exceptional attention to detail to ensure quality of project delivery for customers stands out amongst industry peers, • Track record of building external and executive reports and presentations, • Interest or experience in consulting within the risk, fraud or payments industry, • Experience of working with fraud system management, such as ThreatMetrix, Emailage, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon, etc., • Extensive multi-tasking and prioritization skills. Needs to excel in fast paced environment with frequently changing priorities, • Fluency in more than one language spoken across EMEA is a bonus, but not essential. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days, • Health screening, eye care vouchers and private medical benefits, • Wellbeing programs, • Life Assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme, • Travel Season ticket loan, • Electric Vehicle Scheme, • Optional Dental Insurance, • Maternity, paternity and shared parental leave, • Employee Assistance Programme, • Access to emergency care for both the elderly and children, • RECARES days, giving you time to support the charities and causes that matter to you, • Access to employee resource groups with dedicated time to volunteer, • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work

World-leading, advanced data and analytics AI platform is searching for a Technical Adoption Consultant – EMEA to join their growing team in London. This role will serve as a trusted advisor for customer accounts, helping them maximise the potential of this AI and Data Products Platform, maximising its potential. In this role, you’ll collaborate closely with customer teams to drive the adoption and successful implementation of the platform, from conception through delivery. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights, optimise performance, and automate business processes will also be a part of this role. We’re looking for a high achiever that will be seen as a trusted advisor to core customers, delivering exceptional client satisfaction through successful engagements. Responsibilities Customer Engagement and Enablement: • Act as a trusted advisor for named customer accounts, ensuring they fully leverage the company’s AI and Data capabilities, • Collaborate with customer teams to enhance their implementation administration, • Conduct webinars, training sessions, and Art of the Possible workshops to showcase platform potential, • Help customers uncover new use cases and drive adoption across their teams., • Translate key business requirements into effective solutions that drive customer value, • Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks, • Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation, • Develop and optimise data models, ETL processes, Workflows and dashboards within the platform, • Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness, • Leverage AI capabilities within the platform and integrate external AI tools and LLMs to enhance data insights, automation, and predictive analytics, • Advanced pro code app development and customisation (beneficial) using JavaScript, HTML, and CSS for enhanced user experiences to extend dashboard functionality. Qualifications • A STEM degree (or equivalent) from a top-tier university, • 5+ years’ experience in a technical, data-focused, and customer-facing consulting role, • Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI)., • Strong skills in SQL and Python for data modelling, integrations, and process automation, • Hands-on use of APIs, including constructing calls in Postman, • Familiarity with AI technologies, including LLMs, AI agents and external AI tools, to enhance data insights, automation, and predictive analytics, • Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB), • Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery, • Proven ability to manage technical project delivery, including scoping, planning, and risk assessment, • Strong organisational skills to oversee multiple concurrent customer projects, • Adaptability to shifting customer requirements and priorities, • Excellent problem-solving skills, creativity, and a strategic mindset, • Ability to build strong relationships as a trusted advisor, ensuring technical, business and senior stakeholders stay informed and satisfied, • Clear and effective communication skills, translating technical concepts for non-technical, • audiences, • Proficiency with JavaScript, HTML, and CSS for building front-end applications, • Knowledge of large ERP systems (SAP, Oracle, Microsoft Dynamics, NetSuite, etc.)., • Vertical or subject matter expertise across Marketing, Finance, Sales Operations, Manufacturing, Supply Chain, etc)., • Familiarity with Security frameworks (e.g., JWT, OATH2) Benefits • A generous compensation/OTE package on offer, • Stock options, • An excellent benefits package, • Private healthcare / dental, • Meritocratic working environment and strong career progression opportunities, • A fast growth, exciting business with an open and inclusive culture, • Continuous learning and development, • Great offices and flexible working This position is open to candidates eligible to work in the United Kingdom. Sponsorship is not on offer at this time. -- About us We're a dedicated recruiter bringing together the brightest talent with organisations creating cutting-edge technology to change the world for the better. We partner with technology providers at the forefront of meaningful innovation. And we’re here for talented individuals who are passionate about using their skills to drive positive change. Mind Detect provides exceptional recruitment services to businesses who are leading the way in Data, Machine Learning and AI-driven technologies throughout Europe, the US and Asia.

Do you want to build a behavioural intelligence product using US population-scale data Have you worked with survey + digital behavioural signals and want to turn that into a scalable data product? Are you a bold, product-minded Behavioural Scientist ready for a genuine R&D mandate? We’re partnering with a fast-growing behavioural healthcare analytics business (~40 people) with teams across Washington DC, London and Delhi. They sit at the intersection of behavioural science and data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data Scientist to join a product/R&D team focused on the US market. You’ll work on high-impact research programmes translating behavioural datasets into usable benchmarks and recommendations for healthcare stakeholders. Up to £95k base + 10%+ bonus. Key responsibilities • Lead R&D projects focused on drivers of US healthcare behaviour at scale, • Design and run behavioural measurement approaches (survey + digital signals), • Build statistical and predictive models (regression, segmentation, behavioural modelling), • Translate findings into benchmarks, insights and recommendations, • Partner with PM/DE to productise outputs into a robust data product, • Collaborate on evaluating and onboarding new data sources Requirements • PhD (minimum requirement), • Strong academic background (Russell Group / top universities), • 2+ years post-PhD industry experience, • Strong behavioural science grounding (intersection of behaviour + data), • Experience with survey data and/or digital behaviour signals, • Ability to code in Python and/or R, • Proactive, creative, willing to take ownership (not risk-averse) Nice-to-have • Healthcare domain exposure, • Consumer behaviour analytics background (e.g. retail, marketplaces), • Behavioural / political consultancy experience, • SQL Tech stack • Python and/or R, • Databricks, • SQL beneficial but not essential Location / working model • Remote-first model, • Central London (2 days a week), • Current cadence may be 1x per month / 1x per quarter, but expectations will increase as the London office builds, • WeWork access provided when required (as many days in as preferred), • Occasional travel may be required Interested? Apply below.

Staff Software Engineer - Cybersecurity Start-up | London Staff Software Engineer required for one of the most exciting cybersecurity start-ups in London right now: still early enough to make a real mark, but past the uncertainty and firmly in build and scale mode. This is a team led by founders who’ve previously built a start-up in cybersecurity and successfully. They’ve assembled an exceptionally strong engineering team and scaled rapidly in the short amount of time they have been around. The difference now? They’ve hit product-market fit within the cybersecurity space, have a growing and credible customer base, and are accelerating fast. You are someone who can operate end-to-end, who doesn’t just write great code, but shapes systems, influences direction, and raises the bar across the team. About you: • 5+ years of professional software engineering experience, • Proficient in Python, Go, Java or C# but fundamentally language agnostic, • Strong system design and architecture skills, • Comfortable owning problems from idea → production, • A pragmatic, high-impact approach Bonus points if you bring: • Cybersecurity domain experience, • Time spent in start-ups or high-growth environments, • Experience building or scaling cloud-heavy products What makes this compelling: • Proven founders with previous start-up successes, • Genuinely strong, experienced engineering team, • Clear product-market fit and real traction, • Transitioning from early hustle to serious scale London-based | 5 days on-site – highly collaborative, in-person culture If you’re someone who thrives on ownership, enjoys working with top-tier people, and wants to join a company right as it shifts into high gear, this is worth a conversation. Staff Software Engineer - Cybersecurity Start-up | London

Our client is a well-established systematic hedge fund specialising in quantitative trading strategies across a broad range of global asset classes. The firm develops fully automated models designed to identify and exploit inefficiencies in financial markets. Their strategies operate across a variety of time horizons, from ultra-short-term signals measured in milliseconds through to longer holding periods. With a strong track record in quantitative research and trading, the firm combines deep market expertise with advanced technology to support its investment process. Operating from several international offices, the firm promotes a collaborative environment where research, technology, and trading teams work closely together. Due to continued growth and strong performance, the firm is expanding its research team. Role Overview The firm is seeking a Quantitative Researcher to contribute to the research, development, and implementation of systematic trading strategies. Key responsibilities include: • Researching and developing quantitative trading strategies within the firm’s automated trading platform, • Analysing large and complex datasets using statistical and quantitative techniques to uncover trading opportunities, • Building a strong understanding of market microstructure across different exchanges and asset classes Typical Responsibilities • Conduct research on new trading signals and model improvements, • Ensure all market data and supporting processes are ready ahead of the trading day, • Monitor the performance and behaviour of trading strategies during market hours, • Work with researchers and engineers to implement and refine trading models Requirements • Strong quantitative background with a degree in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics, • Programming experience in at least one major language such as Python, C++, or Java, • Strong analytical and problem-solving skills, • Ability to collaborate effectively with colleagues across global teams If you are interested in learning more about this opportunity, please apply.

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

Who we are Grant Thornton’s Agile Talent Community is a network of contract professionals, giving you the opportunity to work with our clients alongside Grant Thornton teams on a project-by-project basis whilst being supported by our dedicated Agile Talent team. Joining us in Financial Services Business Risk Services (FS BRS) We help and support clients achieve their strategic goals by guiding them through new legislation changes and helping to navigate accounting, regulatory, technology and operating model change. The world around us is changing and our teams help clients remain agile and adapt to these changes and stay ahead of the competition. Grant Thornton’s Financial Services Business Risk Services (FS BRS) team provides market-leading risk, control and governance services to the financial services industry, working with clients from the insurance, banking and investment management industries and beyond. Our key offerings are internal audit (outsource and co-source) finance and risk management, compliance and technology. Joining the Agile Talent Community as an Interim Prudential Reporting Manager, you will have the freedom to work on projects that you choose, whether full or part-time within FS BRS and support our clients and internal teams on short to medium-term assignments. Skills we are looking for • Previous experience in a Prudential risk role in Financial Services, gained in industry or a similar Consultancy., • Hands‑on experience producing UK regulatory returns including COREP, PRA110, MLAR, and PSD, with strong knowledge of prudential reporting rules., • Experience using SQL and Python to extract, manipulate, and automate regulatory reporting data workflows., • Strong capability in maintaining and improving the control environment, performing testing, and enhancing data quality and documentation supporting prudential reports., • Ability to prepare and analyse capital and RWA data, supporting modelling activities for FP&A and prudential reporting requirements. What’s in it for you Development: Your development is important to us and as part of the Agile Talent Community you will be able to work alongside our permanent teams as well as our clients, giving you variety and opportunity to develop new skills. Our team is here to support you, with finding new projects as well as navigating the freelance regulation. Engagement: As a member of our Community, you will also be invited to events, which can help your wellbeing, educate you about the market you operate in, help you connect with the business as well as other members of the Community. Doing what’s right ahead of what’s easy Embracing uniqueness, the culture at Grant Thornton thrives on the contributions of all our people and those who work alongside our teams, we never settle for what is easy, we look beyond to deliver the right thing, for everyone. Building an inclusive culture, where we value difference and respect each other helps everyone to perform at the best of their ability and realize their potential. How to join You’ll first apply by sending us a copy of your CV. If your skills match what we are looking for, one of our recruiters will get in touch and walk you through the interview process. If there’s interest to continue, we’ll invite you to an interview with some of our key business leads. If successful, the final step will be to complete the onboarding process and background checks. We strive to ensure all our information, products, and services are accessible to everyone. If you need any adjustments to our processes to help you apply for our roles, please speak to the recruiter during the application process.

Job Title: Product Data Scientist – Hybrid – Up to £80,000 Location: London (Hybrid, 2 days p/w in office) Salary: Up to £80,000 + benefits Contract: Permanent The Company A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: • Analyse user behaviour to uncover insights, identify pain points, and influence product direction., • Design experiments and support a culture of testing, learning, and iteration., • Define and align key business metrics, ensuring consistency and accuracy across teams., • Build and maintain dashboards and tools to empower stakeholders with self-serve insights., • Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations., • Collaborate across functions to close data gaps and drive analytics best practice., • Stay current on industry trends and champion innovative approaches to product data science. The Candidate • Proven experience in analytical roles, ideally within a digital-first or tech-led business., • Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash)., • Ability to translate business challenges into clear analytical projects and recommendations., • Strong data storytelling and presentation skills, with confidence engaging senior stakeholders., • Curious, proactive, and detail-oriented problem solver., • Team player with strong collaboration skills. What’s on Offer • Salary up to £80,000 + bonus, • Hybrid working (2 days per week in London office), • Competitive annual leave package, • Pension scheme and healthcare support, • Employee discounts and perks, • Regular team socials and recognition initiatives, • Strong learning and development opportunities Apply Now If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a DevOps/Site Reliability Engineer with experience managing complex infrastructure and deploying scalable, reliable systems. You are passionate about automation, cloud technologies, and continuous improvement. Must have: • Proven track record of managing cloud-based infrastructure (AWS, Azure, or GCP)., • Hands-on experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation., • Strong CI/CD pipeline design experience using tools like Jenkins, GitHub Actions, or GitLab CI., • Proficiency in scripting languages such as Bash, Python, or Go., • Experience with container orchestration tools such as Kubernetes, Docker Swarm, or HashiCorp Nomad., • Excellent problem-solving, communication, and collaboration skills. Nice to have: • Experience managing distributed systems, microservices, and event-driven architectures., • Knowledge of observability tools such as Prometheus, Grafana, ELK Stack, or Datadog., • Experience with security best practices, monitoring, and incident response., • Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR)., • Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: • Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries;, • Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do • Platform Operations (40%): Support the lifecycle of platform deployment, including provisioning, updating, monitoring, and scaling cloud infrastructure., • Automation & Tooling (40%): Design and implement CI/CD pipelines, deployment automation, and system monitoring solutions., • Technical Leadership & Documentation (20%): Create and maintain infrastructure documentation, contribute to technical blog posts, and mentor junior engineers. What we offer • Salary range of £50,000 to £85,000 depending on experience., • Development training and support to learn required technical skills., • Employee stock options., • New equipment: MacBook Pro, and work-from-home allowance., • Opportunities to attend technical conferences., • Flexible hybrid working environment, blending work from the office and home. Our hiring process • (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you., • (90 mins) Technical call with two Quaisr team members. We’ll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think!, • (45 mins) Online coding exercise (with a Quaisr team member on the call) working on a practical task related to cloud deployment or automation., • (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV to Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.

Salary: Up to £50,000 Hybrid 1-2 days in the office, West London The Change Partners are partnered with a highly prestigious, leading alcohol brand that is globally recognised as a leader within the beverage sector. They are looking for an ambitious Data Analyst to join their Digital Marketing Team in London. In this hybrid role, you’ll work alongside the Data Lead and cross-functional teams—including CRM, e-commerce, and paid media—to optimise the digital presence of some of the world’s most celebrated heritage portfolios. You will be the bridge between complex data and actionable strategy. Your mission is to help local and global teams understand how consumers engage with high-end spirits and champagne brands across the digital landscape. Your responsibilities: • Touchpoint Analysis: Monitor and analyse how consumers interact across various digital platforms to ensure every click counts toward brand goals., • Privacy & Compliance: Maintain strict adherence to global privacy policies and consent management, ensuring all data collection is ethical and secure., • Tracking Setup: Assist in the technical configuration and validation of tracking tags for websites and global marketing campaigns., • Dashboard Ecosystems: Build and manage automated dashboards in Power BI that provide a real-time pulse on brand health and campaign ROI., • Cross-Channel Metrics: Interpret performance data from paid media (Google/Meta), social channels, and owned web properties to provide a holistic view of the customer journey., • KPI Alignment: Ensure all reporting is directly mapped to the strategic priorities of the Head of Digital and individual Brand Managers., • Campaign Optimisation: Deliver rapid, ad-hoc analysis to help the Paid Media and Studio teams pivot strategies during live campaigns., • Organic Visibility: Apply an understanding of SEO principles and utilise specialised tools to help drive online visibility and organic discovery for the portfolio's brands. What we’re looking for: • Web Analytics: Proficiency in Google Analytics 4 (GA4) and Google Tag Manager., • Advertising Platforms: Experience with Google (Search, DV360, CM360) and Meta advertising suites., • A solid understanding of digital marketing metrics and SEO tools to boost online visibility., • Data Visualisation: Proven ability to build reports in Microsoft Power BI or similar tools., • Experience: A Bachelor’s degree and 3+ years of experience in the field. Bonus Points For: • Foundational knowledge and interest in SQL, Python, or JavaScript., • Foundational knowledge and interest in GA4 BigQuery exports or data warehouses like Snowflake., • Familiarity with behavioural analytics tools (e.g., Hotjar, Microsoft Clarity) or SEO principles. Please apply to this role to learn more information. Please note that the company doesn’t provide sponsorship

Backend Engineer (AI Platform) - London £80k–£100k + EMI equity About the Role We’re hiring a Backend Engineer to build the core infrastructure behind Revax’s AI-native platform for professional services. You’ll design, optimise, and scale the systems that power multi-agent drafting, knowledge graphs, and auditable AI workflows used by accountants, tax advisors, and consultants at leading firms. This is not a “ticket-taking” role -you’ll work directly with the founders, own critical backend services end-to-end, and help define how AI systems are built responsibly in regulated domains. If you enjoy designing clean APIs, scaling Python services, and building systems that actually ship to paying customers, this role is for you. Compensation: £80,000–£100,000 base + EMI equity Location: London About Revax Revax is building a new class of AI-native software for tax advisory firms. Today, professional services teams spend countless hours drafting, reviewing, and re-drafting work - constrained by fragmented knowledge, manual workflows, and brittle tooling. We turn a firm’s own expertise into structured, auditable, AI-powered systems that draft, analyse, and explain deliverables with full provenance. We’re a fast-moving, well-funded startup backed by leading angels, already working with major firms, and building at the intersection of AI agents, knowledge graphs, and real-world enterprise workflows. What You’ll DoBuild & own core backend systems · Build and optimise databases for complex, real-world data · Design and implement APIs using FastAPI for AI workflows and product features · Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability · Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services · Deploy and operate GPU-backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production Scale & operate production infrastructure · Deploy services on GCP (Cloud Run / GKE) or equivalent cloud infrastructure · Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs) · Implement security-first patterns: auth flows, service-to-service auth, IAM, and access controls · Help prepare the platform for enterprise customers (SSO, auditability, compliance ready patterns) Collaborate closely with founders & product · Shape system architecture and API design alongside full-stack and ML engineers · Translate ambiguous product ideas into robust backend implementations · Iterate quickly based on real customer usage and feedback What We’re Looking For Essential · 2-3 years building backend systems for real users · Production experience with FastAPI (or similar modern Python frameworks) · Solid understanding of API design, PostgreSQL, and distributed systems fundamentals · Experience deploying and operating services on cloud infrastructure (GCP, AWS, and Azure) · High ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working in early-stage startups with ambiguity and speed · Experience deploying and working with GPU services for AI workloads Bonus · Exposure to professional services, finance, tax, or regulated workflows · You actively use modern AI coding tools (Cursor, Claude Code, etc.) · Strong instincts for developer experience and internal tooling Why Revax · Real ownership over core backend infrastructure · Work directly with founders on high-impact technical decisions · AI-native product with real customers and immediate feedback · Modern stack: Python, FastAPI, LangGraph, Postgres, Supabase, Neo4j, GCP · Meaningful early-stage equity: we hire owners, not passengers · A lean, low-ego, high drive team that ships fast and cares about their work Practical details · London based (strong preference for in office collaboration) · Visa sponsorship available

I am looking to speak with qualified Pricing Actuaries for a Cyber Pricing position at a global (re)insurer. You will develop and maintain pricing models as well as perform portfolio review and pricing analysis. You will also work very closely with underwriters and provide support to junior members of the team. You must have previous pricing experience within speciality markets and have completed the actuarial exams. You will need to be a confident communicator and have strong analytical skills, previous experience with software/languages such as Python, Access, SQL and R. The role requires 3 days a week in the London or Birmingham office and offers up to £110,000. Please reach out to

About us At Havenwise, we're making energy cheaper and easier for people. To do so, we’re building the hardware and software platform for home energy starting with the heating system, the single biggest energy load in most homes. We've already built and launched a software product that connects to heat pumps and cuts energy bills by ~40%. We're now taking it further with our own hardware products: a smart hub and thermostat. The architecture is taking shape - a hub in the home that talks to the heat pump, communicates with the cloud, and connects to a wireless thermostat - but the key technical decisions are being made now. You'll help shape them, not just implement a spec. With full control over the tech stack, you'll build the firmware foundation for the optimisation logic for electrified homes that measurably reduces energy bills. We’re backed by top VCs and angels who backed and founded the likes of Blueground, Huspy, Aikido, and many more. We have a strong network of installers to bring the new products to market in the next 12 months. Your role You'll be our first embedded engineer, owning the firmware and hardware integration across two physical products: a mains-powered hub and a battery-powered wireless thermostat. You'll work directly with the CTO and a small team of engineers. This is a high-ownership role where your work ships to real homes. Your responsibilities • Own the full embedded stack: firmware architecture, hardware module selection, connectivity, and device lifecycle (provisioning, OTA, secure boot, watchdog)., • Build the communication layer between the controller and heat pump and between the controller and cloud (Modbus RTU, MQTT)., • Design and implement the wireless link between hub and thermostat, optimising for battery life (12+ month target)., • Implement the thermostat screen UI in an embedded graphics framework. V1 is minimal - status, setpoint, boost - but it must look good, not just work., • Build robust offline behaviour: the hub continues operating when internet drops., • Build safety limits into the firmware so the device stays within safe operational boundaries at all times., • Select and integrate off-the-shelf compute modules, radios, and transceivers. What we're looking for • You've shipped a consumer product with an MCU and a screen. Show us., • Strong C. Comfortable with LVGL or equivalent embedded graphics., • Experience with serial protocols (Modbus, UART, SPI) and MQTT., • Experience with OTA updates, secure boot, connectivity management., • You care about what the screen looks like, not just whether it compiles., • Comfortable in a small team where you own the full embedded vertical. Nice-to-haves • BLE, Zigbee, or Thread experience, • Low-power design and battery management., • Heat pump, HVAC, or building controls domain experience., • CAN bus (future battery/solar/EV integration)., • Python (for collaborating on cloud-side tooling with the backend team). Your benefits • Competitive salary and options., • London-based office. This is a hybrid role where we get to collaborate in the office 2-3 days per week. Occasional travel to pilot sites., • Own the entire embedded stack of a physical product from day one., • Work directly with the CTO on architecture that runs in homes for 10+ years., • Climate tech: your firmware directly accelerates the transition to cheaper, cleaner home energy. Your path to joining us 1. Call with Alex (CTO) - tell us what you've built., 2. Technical exercise - small embedded task., 3. Meet the full team., 4. Offer and welcome.

Client Research Manager / Senior Research Manager Up to £55,000 Hybrid, 2/3 days per week in London We are working with a large, well-established brand and market research consultancy. They specialise in quantitative brand research and are looking to hire a Client Research Manager to support and grow key client accounts. The role • Lead quantitative brand research projects end to end, • Deliver brand tracking, brand perception, positioning, awareness, and audience insight work, • Support the development and evaluation of marketing campaigns, • Manage client relationships and present insights clearly, • Line manage at least one team member, with scope to mentor more junior researchers, • Work within mixed-methods projects, with a strong quantitative focus About you • Strong background in quantitative market research, ideally agency-side, • Proven experience in brand research and brand tracking, • Comfortable with brand metrics, segmentation, and audience insight, • Experience managing or mentoring at least one person, or ready to step into management, • Typically 4 to 6 years’ experience, ideally from a recognised research agency, • Strong Excel skills and experience using SPSS, • Experience with R or Python for survey data is a plus What’s on offer • Salary up to £55,000 depending on experience, • Hybrid working, with 2 to 3 days per week in Warwick, • Clear progression path, with promotion opportunities to Client Director level Apply via the link if interested!

Customer Success – pre & post sale Financial Markets | Derivatives Analytics Platform London / Remote-first £60,000 – £80,000 + benefits This is a high-impact, front-office facing role within a fast-growing financial technology firm redefining how derivatives professionals analyse, price and make trading decisions. The platform is already embedded within top-tier investment banks, hedge funds and asset managers, used directly by traders in live environments. With continued growth and increasing demand, the business is hiring a Customer Success & Insights Manager to sit at the intersection of product, sales and client engagement. This is called Customer Success but is actually a hybrid position combining pre-sales, product demonstration, client engagement and data-driven insights, with direct exposure to sophisticated market participants. The Role You’ll own the early-stage client lifecycle, from demo through to adoption and expansion, ensuring users fully understand and realise the value of the platform in real trading workflows. You’ll work closely with senior stakeholders across trading desks, acting as a credible advisor while also feeding real-world insight back into product and growth strategy. Core responsibilities include: • Leading high-quality product demos for traders and market professionals (often multiple per day), • Managing trials and proof-of-concepts, driving engagement and conversion, • Acting as a trusted point of contact for clients using the platform in live trading scenarios, • Analysing user behaviour and engagement data to identify risks, opportunities and growth signals, • Proactively engaging users based on data-driven insights, not just inbound queries, • Collaborating closely with product and leadership to shape roadmap and client experience, • Identifying expansion opportunities within existing accounts What They’re Looking For This role requires someone who can operate credibly with front-office professionals and quickly add value in a technical, fast-paced environment. Key requirements: • Derivatives experience (essential) - you must understand the product landscape and be able to engage traders confidently, • Background in capital markets, trading technology, or financial data platforms, • Strong communication skills - able to clearly explain complex concepts to sophisticated users, • Analytical capability - comfortable working with data, user behaviour and insights (Python/Excel or similar), • Experience in a client-facing role (pre-sales, customer success, solutions, or similar) within a technical or financial product, • Strong academic background (STEM preferred) Why This Role • Direct interaction with tier-one banks and hedge funds, • High ownership role with real influence on growth, product and client outcomes, • Blend of commercial, technical and analytical exposure, • Fast-scaling, profitable business with strong market traction, • Remote-first environment with flexibility and autonomy, • Clear progression as the business continues to grow The Opportunity You’ll be joining a business at a pivotal stage - already trusted by major institutions, but still early enough for you to have a visible impact on how the function evolves. If you enjoy being close to the market, working with sophisticated users, and combining client interaction with data and product thinking, this is a unique, high impact role in a fast growing fintech. Please contact Ian Bailey at Harrinton Starr for full details