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As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics. You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop. What you'll do * Discuss with stakeholders requirements for analysis * Run exploratory data analysis and turn it into questions which can be answered with analytical techniques * Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems * Communicate results clearly and effectively * Take care of unclear and ambiguous requirements * Communicate complex ideas and analyses in a simple way * Work independently on complex projects * Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science * Be able to use diverse data science tools and approaches What we're looking for * A degree or equivalent work experience in data driven field * Ability to use visualization techniques for communicating data and analysis * Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. * R/Python experience * Knowledge and experience of SQL * Ability to work a minimum of 3 days a week in our central london office. Why Product Madness? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Quant Developer Pricing & Risk Technology Commodities Trading London | Full-Time, Permanent Overview Our client is a leading energy trading firm who are looking for a Quant Developer to join the Trading Technology group, focusing on the design, enhancement, and maintenance of a Python-based options pricing and valuation library. This system supports risk and valuation workflows across Oil, Power, Gas, and Equities, delivering real-time and end-of-day analytics for traders, risk, and quant teams. The role suits a technically strong quant engineer with expertise in Python, derivatives pricing, and financial mathematics - ideally with exposure to energy and commodity markets. Key Responsibilities • Develop, maintain, and extend Python pricing and risk libraries for options and structured derivatives (APOs, CSOs, ULDs, P1X)., • Implement and calibrate pricing models (vanilla and structured) and ensure alignment with front-office risk systems., • Design and maintain volatility surface calibration workflows, manage market data (curves, vols, correlations), and build robust fallback and proxy mechanisms., • Enhance library performance, calibration routines, and diagnostics; contribute to regression testing and CI/CD pipelines., • Act as SME for pricing models within the risk and trading tech stack, supporting global teams and resolving production issues. Key Skills & Experience • 5–10 years’ experience in quantitative development within Investment Banking, Finance, or Commodities (energy, oil, gas, power, etc)., • Advanced degree (MSc/PhD) in Maths, Physics, Financial Engineering, or related field., • Deep understanding of option pricing theory (Black-Scholes, local/stochastic volatility, Monte Carlo)., • Expert Python developer with strong numerical and vectorized coding skills (NumPy, SciPy, Pandas)., • Experience building and calibrating volatility surfaces and handling risk measures (Greeks, VaR, sensitivities)., • Strong background in stochastic calculus, numerical methods, and optimization.

Trading UI Engineer – Front Office JavaScript, React, typescript, NodeJS, Tailwind, GraphQL, ApolloQL, Webpack, Cypress, HTML, CSS, REST, Data Visualisation, API. Real Time Trading Software, UI Development Perm Role – London – Onsite. £80000 - £100000 plus bonus Harrington Starr has partnered up with a Global Investment Bank in the City of London who are looking to hire a Senior UI Trading Software Developer to work in a Front Office environment with Traders, Quants and Portfolio Managers within a Front Office Trading Floor. This is a high profile role for a Multi Asset Trading Team within a Front Office environment. As the Senior Trading UI Developer, you will have extensive experience of working with the JavaScript Framework including ES7 and HTML and CSS. You will be working directly with Portfolio Managers, Sales Traders and Quants and end users where you will be responsible for specing out, designing and developing of UI screens for the users. This will require you to have client facing experience as well as low levy programming with JavaScript and React Development experience. Their systems cover all asset classes from FX, Fixed Income, Interest Rates and Commodities including derivative products although this knowledge is not essential but would be advantageous. The application is a Real Time Trading application which displayed 1000’s points of Data for Trading decisions. Key Tech Stack: • Extensive React UI Development., • Solid JavaScript programming, • Experience with Typescript, • Experience with Data Visualisation development., • HTML and C55, • Experience in Real Time trading application., • Experience with GraphQL, • RESTful API development.

Shape the Future of Data Governance at Scale At Luxoft, we partner with the world’s leading financial institutions to deliver next-generation data and technology solutions. We’re looking for an exceptional Senior Data Catalog Solution Engineer / Architect to design, implement, and evolve an enterprise-wide data cataloging platform that empowers data-driven decision-making across the organization. In this pivotal role, you’ll bridge advanced technical architecture with business enablement — ensuring that enterprise data is discoverable, trustworthy, and governed at scale. You’ll collaborate with a cross-functional team of developers, data scientists, analysts, and architects to bring data intelligence to life. 🔍 Your Mission • Architect & Implement Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world), aligned with robust data governance frameworks., • Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators., • Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization., • Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification for golden datasets., • Data Quality & Observability — Integrate DQ/DO tools (Monte Carlo, Anomalo, Soda) to visualize trust metrics and compliance dashboards., • Collaboration & Adoption — Mentor teams, document best practices, and drive adoption across engineering and business units. 🧠 What You Bring • Experience in Data Architecture, Engineering, or Metadata Management., • Enterprise-scale experience implementing data catalog platforms (data.world, Collibra, Alation, Informatica EDC, etc.)., • Hands-on expertise with data.world at scale., • Deep understanding of metadata modeling, lineage capture, and data governance frameworks (GDPR, CCPA, HIPAA)., • Proficiency in APIs, RESTful services, automation, and cloud data ecosystems (AWS, Azure, GCP)., • Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For • Experience with semantic knowledge graphs, RDF/SPARQL, and ontology/taxonomy modeling., • Familiarity with metadata-driven AI/ML enrichment., • Knowledge of financial mathematics or capital markets., • A “can-do” mindset and hunger for continuous learning. 🌍 Why Join Luxoft? At Luxoft, you’ll collaborate with global experts in data and capital markets, delivering solutions that shape how investment institutions manage and trust their data. We offer: • Challenging, high-impact projects with world-leading financial clients., • A collaborative, innovative environment that values thought leadership., • Opportunities to learn, grow, and lead in a data-first culture., • Flexibility, global reach, and a clear path to technical mastery. 👉 Ready to architect the data intelligence layer of tomorrow’s capital markets? Apply now and join Luxoft’s elite team driving innovation in financial data governance.

The Client Our client is a globally recognised investment firm operating across the US, Europe, and Asia. They combine advanced technology, quantitative research, and deep financial expertise to deliver consistent, data-driven performance across diverse markets. With a strong culture of innovation, collaboration, and continuous learning, they empower their teams to push the boundaries of what’s possible in finance and technology. What You’ll Get • Competitive base salary with outstanding bonus potential, • Comprehensive benefits, including private healthcare and pension contributions, • Access to cutting-edge technology and sophisticated trading systems, • Opportunities for international collaboration with offices in major global financial hubs, • A culture that values curiosity, innovation, and career development What You’ll Do • Design, build, and maintain advanced risk analytics and reporting platforms used across multiple trading teams, • Collaborate with global risk and technology professionals to enhance systems supporting multi-asset portfolios, • Develop and optimise macro product models, focusing on performance, scalability, and accuracy, • Provide proactive application and data support for risk managers and analysts, • Translate prototype models into production-grade tools and deliver ad-hoc analytics to guide risk decisions What You’ll Need • Around 5–7 years of professional software development experience, including at least a couple of years working with the .NET framework and C#, • Strong technical skills across SQL Server, Windows environments, and scripting languages such as Python and VBA, • A proven ability to analyse complex problems and deliver well-structured, efficient solutions, • Clear communication skills and the confidence to collaborate with both technical and non-technical colleagues, • A genuine interest in financial markets with prior exposure to macro asset classes like FX, Rates, or Commodities would be a plus, • Experience working with third-party risk platforms would be beneficial, • A degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline (postgraduate qualifications welcome), • A proactive, detail-oriented approach with enthusiasm for learning and contributing to a fast-paced, team-focused environment Interested? If you’re passionate about the intersection of finance and technology and want to work in a high-performing, collaborative environment. Apply now or contact for a confidential discussion.

AI Engineer (PhD) – Series A Deep Tech AI Company About the Company: Our client is a cutting-edge deep tech start-up that’s redefining how enterprises leverage artificial intelligence to automate complex analytical workflows. Having completed a successful Series A funding round, they are rapidly scaling their technology and delivery teams to meet strong enterprise demand. Their mission is to replace traditional, fragmented analytics processes with intelligent AI-powered digital workers — autonomous systems that can perform advanced analytics, data science, and decision-making tasks continuously, accurately, and at scale. The Role: As an AI Engineer, you’ll be part of a world-class team building and deploying production-grade AI systems that redefine enterprise analytics. This is a high-impact, client-facing position where you’ll design, implement, and deliver agentic workflows and intelligent systems that solve real business challenges at scale. You’ll collaborate with senior stakeholders, data scientists, and product teams at some of the world’s most recognized enterprises — translating complex business problems into elegant, scalable AI solutions. What You’ll Do: • Lead the design and delivery of agentic AI systems and LLM-based workflows for top-tier enterprise clients., • Partner directly with technical and business teams to identify pain points and architect high-impact AI-driven solutions., • Build and deploy production-grade systems leveraging LLMs, RAG pipelines, multi-component AI programs (MCPs), and agent frameworks., • Conduct applied research to solve novel, previously unseen problems — bringing cutting-edge innovation from concept to production., • Contribute to internal research initiatives and thought leadership, shaping the evolution of AI automation in enterprise contexts. What You’ll Bring: • PhD in a STEM field (Computer Science, Machine Learning, Mathematics, Physics, or related discipline). Your research background enables you to tackle complex, ambiguous problems with scientific rigor and creativity., • Proven hands-on experience building and deploying LLM-based or agentic systems in production environments., • Strong understanding of RAGs, MCPs, and scalable AI architectures., • A forward-deployed engineering mindset — comfortable engaging directly with clients to understand business needs and deliver measurable results., • Excellent communication and problem-solving skills, with the ability to translate between technical and commercial perspectives. Why Join: • Be part of a fast-growing Series A company that’s transforming how enterprises use AI., • Work on real-world, high-impact AI projects with globally recognized clients., • Collaborate with some of the brightest minds in AI and applied research., • Join a culture that prizes curiosity, ownership, and performance — where winning as a team is the ultimate goal.

Senior Machine Learning Engineer x2 days a week in the office (can be reduced to x1 day sometimes) About the Role & Company Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML / AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. Key Responsibilities • Build, deploy and maintain machine learning models as APIs, streams, and batch services, • Partner with Data Scientists to industrialise prototypes into production-ready applications, • Lead on observability, CI/CD automation, and monitoring for ML workflows, • Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform, • Contribute to shared ML tooling and experimentation platforms, • Ensure best practices in model testing, rollback, and deployment hygiene, • Work across technical and compliance teams to ensure governance and risk controls Requirements • 3–5 years’ experience in machine learning engineering and/or applied data science, • Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.), • Strong Python coding skills for production systems, • Proven experience deploying models in real-world environments (API, batch, streaming), • Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes), • Experience working in cloud environments (AWS preferred; Terraform a bonus), • Strong communication skills and interest in the latest ML/AI developments, • Comfortable in collaborative, cross-functional teams with fast iteration cycles If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Our client is a global institutional-grade prime brokerage and credit network, providing clearing, financing, and risk management across both traditional and digital assets. You will help operate a technology-driven platform designed for real-time risk management across multiple venues and asset classes. Your primary responsibility will be to develop and maintain the reference data service, sitting at the nexus of engineering and owning the beating heart of the franchise. This is an opportunity to create the next-generation interface to the core data system, directly influencing mission-critical trading and risk infrastructure. You will work hands-on with modern technologies such as Python, AWS, Kafka, Redis, and GraphQL to build robust, production-grade solutions. Collaboration with top-tier engineers and quantitative specialists will be central to your role as you deliver tools that power trading and risk management. Responsibilities • Contribute to next-generation reference data systems, directly impacting decision-making and execution, • Shape the core data infrastructure by modelling new financial assets and derivatives for the enterprise reference data system, • Design and optimize ETL workflows for large-scale, high-performance environments, • Drive scalability and performance improvements in systems that power global trading operations, • Strong Python coding skills for production-grade systems, • 5+ years of software development experience at a top-tier firm, • BS or higher in Computer Science, Mathematics, or related field, • Experience with databases, ORM models, and ETL workflows, • Familiarity with AWS, Kafka, Redis, and GraphQL, • Background in financial reference data and large-scale systems

Backend Software Engineer – Python / FastAPI / Event Driven Architecture Location: London, UK (Hybrid) Type: Full-time Level: Mid to Senior Salary: £70,000 to £100,000 About the Role: This startup is building a cutting-edge platform to transform how engineers design physical products. Instead of creating one solution at a time, this system enables users to generate, visualise, and explore thousands of design alternatives. Faster and more intelligently than ever before. This company is a spin-out from one of the UK’s most successful startups, built by top-tier engineers and developers from industry leading teams. We’re looking for a software engineer who enjoys writing clean, functional code and is genuinely passionate about real-world engineering not just building software, but helping change how things are designed and built. Tech Stack within the engineering environment: • Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker, • Infrastructure: GitHub Actions, GCP, Kubernetes (optional), • Paradigms: event-driven architecture Responsibilities • Build and maintain backend services using FastAPI and Python for geometry, simulation, and data workflows, • Work closely with domain experts (engineers, designers) to translate complex physical problems into usable software features, • Follow functional programming practices to write testable, composable code, • Own features from idea to implementation to deployment, • Contribute to architectural decisions in a fast-moving, early-stage product Requirements • Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field, • 2+ years of experience building web applications in a production environment, • Strong experience with Python and API frameworks (FastAPI, Flask, etc.), • Comfort or interest in functional programming principles and clean code architecture, • A genuine interest in engineering and the physical world, • Ability to thrive in a startup or agile environment with autonomy and ownership Backend Software Engineer – Python / FastAPI / Event Driven Architecture

We’re Hiring: Senior Analytics Consultant & Data Management Specialist 📍 Location: London (Mayfair) Hybrid– 4 days in-office, WFH Fridays 💰 Salary: £100,000 🎯 Bonus: Up to 30% + Co-investment options 🩺 Benefits: Private healthcare A leading finance firm is seeking a hands-on Data Analyst / Data Management Specialist. This is a sole contributor role where you’ll take full ownership of data—from raw datasets through to insight—helping shape portfolio analytics and internal tools. This role is ideal for someone who thrives on hands-on analytics, enjoys working with millions of rows of data, and has a strong interest in AI and GenAI. You won’t be managing a team or doing high-level strategy; this is all about delivering real, measurable insights. What you’ll do • Collect, cleanse, standardise, and package raw datasets into standardised tools & products., • Build and maintain data-intensive tools, covering spend, pricing, working capital, supply chain, market sizing, and cyber monitoring., • Ensure data quality, governance, and monitoring across portfolio platforms., • Drive GenAI adoption internally and contribute to a GenAI champions group., • Own and improve deal origination processes and models. What we’re looking for • Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field., • Strong hands-on analytics experience, including working with millions of rows of data., • 3+ years of demonstrable proficiency in SQL, Python, and Power BI / Tableau, • Experience in data management, governance, cleansing, and engineering., • Interest in AI / GenAI technologies., • Comfortable in a sole contributor role with full end-to-end data responsibility., • Articulate and confident, able to communicate insights effectively., • Experience in data warehouse / data engineering environments is a plus. If you are analytical, curious, and hands-on, and want to turn complex data into actionable insights, this role is for you.

Your team Swissblock is a proprietary investment fund specializing in systematic trading algorithms and advanced global macro and crypto analytics. Our in-house technology powers a suite of innovative financial solutions, delivering deep market insights and actionable intelligence for professional investors and institutions. By combining data science, algorithmic precision, and intuitive design, we develop cutting-edge tools that enable users to analyze, interpret, and act on market dynamics with confidence. Your role As a Senior Software Engineer in the Product Engineering team you will build and evolve a data and content dissemination platform (Web, App, APIs, messaging) and corresponding data pipelines, ensuring that our analytics and trading systems remain at the forefront of financial innovation. You will provide the content of our proprietary investment framework directly to our clients. In order to succeed, you are required to deep dive and analyze various use cases with different teams like investment, finance, data or strategy engineers. Apart from supporting our constantly evolving products by driving the development of our components, you will actively help in business requirement analysis and specification to improve not only the tools but also processes and information flow throughout the company. It is a perfect opportunity to take ownership and drive our product development strategy. Key responsibilities • Gather requirements in direct contact with business and technical stakeholders, • Work with product management to analyze and improve our business processes, • Conduct workload and complexity assessments, • Design, plan and implement new efficient software solutions in Python and Go, • Maintain and enhance our Airflow data pipelines, • Improve observability and scalability to support our constantly growing client base, • Continuously adapt to changing requirements in a business driven environment, • Build and extend knowledge of financial instruments Minimum qualifications • B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics), • Algorithms, data structures, complexity analysis and software design, • Hands-on senior level experience in Python programming, • Unix based systems, containerized environments and Kubernetes, • Working experience with databases: relational, NoSQL and time series, • Websocket, REST API and message brokers (e.g. Kafka, NATS, Pub/Sub), • Proficient written and verbal communication in English, • Strong analytical and problem-solving skills with a proactive attitude to own and solve issues, • Team player, strong sense for quality, reliability and innate curiosity to learn new things Preferred qualifications • Background in traditional finance or digital assets, ideally in trading domain, • Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy), • Highly proficient in asynchronous, event driven distributed systems, • Working knowledge of cloud-native architectures, GCP preferred, • Experience in Go and working with real-time data streams What we offer • Unique opportunity to work on new, cutting-edge technology in financial trading, • Self-funded and already profitable international company in a future-proof market, • Great culture and team spirit with flat hierarchy and quick decision-making, • Work-life balance with a remote-first culture (Europe or onsite in Zug, Switzerland), • Competitive compensation scheme with an annual bonus, • 25 days of annual leave, pension, insurance and regular company events Do you want to help us to bring our already profitable system to the next level and build the next generation of our revolutionary products? Then please apply below.

Software Engineer – Python / FastAPI / React / Functional programming / Typescript Location: London, UK (Hybrid) Type: Full-time Level: Mid to Senior Salary: £70,000 to £100,000 About the Role: This startup is building a cutting-edge platform to transform how engineers design physical products. Instead of creating one solution at a time, this system enables users to generate, visualise, and explore thousands of design alternatives. Faster and more intelligently than ever before. This company is a spin-out from one of the UK’s most successful startups, built by top-tier engineers and developers from industry leading teams. We’re looking for a software engineer who enjoys writing clean, functional code and is genuinely passionate about real-world engineering not just building software, but helping change how things are designed and built. Opportunities: Frontend or Backend Tech Stack within the engineering environment: • Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker, • Frontend: React, TypeScript, Vite, • Infrastructure: GitHub Actions, GCP, Kubernetes (optional), • Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities • Build and maintain backend services using FastAPI and Python for geometry, simulation, and data workflows, • Develop responsive, performant frontends using React and TypeScript, • Work closely with domain experts (engineers, designers) to translate complex physical problems into usable software features, • Follow functional programming practices to write testable, composable code, • Own features from idea to implementation to deployment, • Contribute to architectural decisions in a fast-moving, early-stage product Requirements • Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field, • 2+ years of experience building web applications in a production environment, • Strong experience with Python and API frameworks (FastAPI, Flask, etc.), • Proficiency with React and TypeScript, • Comfort or interest in functional programming principles and clean code architecture, • A genuine interest in engineering and the physical world, • Ability to thrive in a startup or agile environment with autonomy and ownership Software Engineer – Python / FastAPI / React / Functional programming / Typescript

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: • Designing, developing, and deploying machine learning and AI models, • Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines, • Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring, • Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP), • Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions, • Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support, • Contributing to internal R&D and staying current with advancements in AI and machine learning What We’re Looking For: • A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline, • Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques, • Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy), • Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts, • Strong problem-solving mindset with a passion for building practical, scalable AI solutions, • Excellent teamwork and communication skills, • Full right to work in the UK (we are unable to offer visa sponsorship for this role) Benefits: 💰 Competitive Salary & Bonus: £40,000 – £45,000 plus bonus 🏡 Hybrid Working: Flexible balance of office and remote work 📈 Career Growth: Mentorship, structured training, and clear progression paths 🛠 Modern Tech Stack: Hands-on with the latest AI and cloud tools 🤝 Collaborative Culture: Join a supportive, innovative engineering team ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply: If you’re excited by the opportunity to apply your academic and project work to real-world AI challenges, please send us your CV. A member of our team will reach out quickly to discuss the next steps.

Front Office Developer Trading Firm · London Area, United Kingdom (Hybrid) Salary: Up to £80,000 + Bonus Location: London | Hybrid We’re working with a multi-asset trading firm at the forefront of technology and quantitative research, driving innovation across global markets. Their Front Office technology team develops high-performance trading systems, algorithmic strategies, and data-driven tools that enable traders to execute efficiently and intelligently across asset classes. They’re looking for a talented and ambitious Front Office Developer to join their Algorithmic Trading Development team. This is an exceptional opportunity to work directly with traders and quants, building next-generation trading applications and automation tools in a fast-paced, high-impact environment. Key Responsibilities of the Front Office Developer • Install, upgrade, and support trading platforms for the Interest Rates Options desk., • Design, develop, test, and document trading algorithms used across multiple desks., • Automate options pricing and real-time risk processes for Front Office users., • Build and maintain time-series databases, performing quantitative analysis on volatility and risk., • Optimise trading system performance and architecture across on-premise and cloud environments. Key Requirements of the Front Office Developer • Master’s degree in Computer Science, Engineering, Financial Mathematics, or a similar quantitative field., • 2–5 years’ experience in a software development or quantitative role., • Strong programming skills in Python, C, C++, SQL, and/or C#., • Solid understanding of Linux systems. Nice-to-haves • Familiarity with TypeScript, React, and SASS/SCSS is a plus., • Understanding of financial derivatives, including volatility modelling and stochastic calculus, is beneficial., • Knowledge of networking protocols (TCP/IP, FIX, multicast/unicast, ZeroMQ/RabbitMQ) advantageous., • Excellent communication skills, with a collaborative and results-driven mindset. This is a fantastic opportunity for a Front Office Developer seeking to work on impactful technology in a fast-paced trading environment - combining software engineering, quantitative analysis, and real-time market exposure. **Unfortunately, due to the high volume of applicants not all submissions will receive feedback.

Job Title: Market Risk Business Analyst Location: London (Hybrid working) Type of role: Permanent Get The Future You Want! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world Your Role: Work closely with Business and Technology teams to define, analyse and implement changes. In particular, · Participate in the analysis of FRTB, Stress Testing · Understand and Document requirements · Analyse and interpret results of FRTB, Stress calculations · Document results and findings · Raise key issues and risks in a timely manner to the Project Manager/Delivery Lead · Liaise with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics and Risk Managers · Follow good processes and practices, as defined by the team standards; ensuring that documentation is complete, comprehensive and signed off · Assist with the prioritisation and planning of key deliverables · Work in an agile manner whilst still understanding the needs of planning and forecasting the overall delivery · Stakeholder Management and Leadership · Decision-making and Problem Solving Your Profile: · Minimum years of experience in a related Financial Services discipline with a bachelor’s degree in economics, Computer Science, Mathematics or Scientific discipline from a top university · Knowledge of Greeks (e.g. Delta, Gamma, Vega) & Financial Derivatives · Knowledge of VaR, FRTB and Stress testing calculation · Ability to delve deep into a topic/requirement, analyse the impact and provide solutions · Ability to assimilate information quickly and make informed decisions · Ability to use own initiative to resolve issues/ investigate and find solutions · Strong oral/written communication skills and presentation skills · Working within cross-region teams and projects · Strong SQL skills Desirable Skills: (Not Mandatory) · Knowledge of financial products (e.g. Interest Rate SWAP, Equity Options, Credit Index Options) & their pricing (conceptual not necessarily mathematical) · Experience in delivering projects using an Agile methodology · Banking knowledge · Python, VBA About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Colt is the New Standard in high bandwidth network and voice services for enterprises and wholesale customers in Europe, Asia and North America’s largest business hubs. With a global reach but a deep local presence, Colt is big enough to deliver and small enough to care. Why we need this role? As the Lead - SOC Incident Manager, your role will encompass communicating cybersecurity incidents to key partners across the enterprise as well as being the main interface between the Colt business units and the cybersecurity groups. You will be the subject matter expert responsible for coordinating cyber security incidents across the enterprise. What you will do: You will play a key role within the SOC to manage incidents: • Lead and coordinate response efforts to cyber security incidents caused by internal and external threats to reduce the impact of these incidents to Colt and its customers., • Act as the bridge between the SOC incident responders, IT support teams and business groups to ensure a consistently execution of incident triage and remediation., • Build and manage cyber incident tabletop exercises to ensure Colt is prepared to deal with cybersecurity incidents., • Perform post incident analysis, identifying lessons learned throughout Fidelity with applicable teams for tactical and strategic remediation. What We're Looking For? • Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, Business Administration, or a closely related field, • Solid understanding of common threats, penetration/intrusion techniques and attack vectors., • Lead under pressure and act as the command and control in managing critical cyber incidents. Experienced in handling cyber security incidents as well as other business or IT recovery incidents., • An ability to explain sophisticated topics to a varied audience of people who work in both IT and non-IT roles., • Proficient with commonly used incident response tools, logging, and SIEM technologies., • In-depth knowledge of and experience in security concepts such as cyber-attacks and techniques, risk management, incident management, threat management, etc. What We Offer You Looking to make a mark? At Colt, you’ll make a difference. Because around here, we empower people. We don’t tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion • Signed the UN Women Empowerment Principles which guide our Gender Action Plan, • Trained 60 (and growing) Colties to be Mental Health First Aiders Our benefits support you through all parts of life, for both physical and mental health. • Flexible working hours and the option to work from home., • Extensive induction program with experienced mentors and buddies., • Opportunities for further development and educational opportunities., • Global Family Leave Policy., • Employee Assistance Program., • When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring – take a look at ‘Our People’ site including our Empowered Women in Tech.

Software Engineer - 1-2 years experience Up to £55k Hybrid working in London (3 days p/week) Would you like the opportunity to work for a fast-growing start-up, currently looking for several Fullstack Software Engineers? You will be joining a dynamic product team, where you will be building great software and diving into the world of AI. The company is committed to providing a seamless experience for both customers and internal teams. This opportunity is suitable for Software Engineers with 12-24 months experience. As a Software Engineer, you will be working across their stack using TypeScript, React, Next.js, Node.js and AWS. Core requirements: • Commercial experience with their stack TypeScript, React, Next.js and Node.js. Happy to consider fresh graduates with GitHub projects., • AWS infrastructure., • Engineering or mathematics background, 1st class degree preferred If you’re a Fullstack Engineer who enjoys the idea of working in a fast-paced start-up, please apply.

Senior Software Developers specialising in trading systems required for an excellent client based in London. The successful Software Developer will join a extremely talented development team and you will be exposed to creating and maintaining our client's own applications based around a C#/.NET/SQL Server/ASP.NET universe. Many projects are greenfield projects and allow you to make your own mark on the development process early on.You will be given the opportunity to work with the some of the latest technologies possible and will be expected to produce excellent code for our clients in house software applications and trading platform. Our client offers a very collaborative working environment with all of the development team coming from excellent educational backgrounds from across Europe. This role is within the sports trading industry so any candidate applying should either have an interest in the industry, or experience within it. This is predominantly an office-based role. As well as very competitive salaries, our client offers a comprehensive benefits package. Skills required: • C#, • Worked with the latest version of the .NET platform, • Database experience - SQL Server, • WPF, • Angular, TypeScript, • Modelling experience, • High level aptitude for technology, • Education to at least a BSc level or higher in Computer Science or Mathematics from a Russell Group University or equivalent. Desirable skills: • HTML5, CSS, JavaScript, • Multi-threaded application development, • Understanding of Windows technologies If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson on 02380 765 287 or email Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Role: Senior AI Engineer Industry: Energy Location: London (hybrid 3 days per week) Contract: Initial 6 months Rate: £650-800/d inside IR35 X4 Technology are partnered with a global energy organisation to recruit a contract Senior AI Engineer. This hands-on role is perfect for someone passionate about applying cutting-edge AI and machine learning to solve real-world industrial and customer challenges. You’ll leverage your background in mathematics, computer science, or a related STEM field to deliver innovative AI solutions, tackle complex problems and lead projects that drive measurable impact. The role offers the chance to work across diverse problems, collaborating with teams while also owning technical delivery. Responsibilities for the Senior AI Engineer • Design, build and deploy AI/ML systems that drive measurable business impact., • Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions., • Provide guidance on AI architecture and scalable deployment for autonomous, high-performance systems., • Collaborate with cross-functional teams to deliver AI-driven insights and optimise operational decision-making., • Stay current with AI research, including LLMs and generative AI, and provide thought leadership across projects. Requirements for the Senior AI Engineer • Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, Statistics or a related STEM field., • 5+ years of practical AI or data science experience in industry or engineering., • Proven track record delivering AI solutions from concept to deployment., • Hands-on expertise in Python and AI/ML libraries, • Experience with cloud platforms for model training, deployment and scaling., • Strong communication skills with the ability to influence decision-making. The role is hybrid in London (3 days per week) offering rates of £650-800/d (inside IR35). The contract is an initial 6 months, with multi-year potential. Interviews are being scheduled from W/C 17th November, so please apply online for immediate consideration.

Principal Product Data Scientist We are looking for an experienced Principal Product Data Scientist to join a global technology organisation. This is a senior leadership role where you will set the vision, shape the technical direction, and deliver strategic impact through innovative analytical solutions. What you will do As the most senior technical leader in the Product Data Science function, you will: • Define and lead the Data Science strategy for Product, embedding advanced analytics, data science, and AI methodologies into how products are built and customer experiences improved., • Act as a trusted advisor to senior Product and Engineering leadership, ensuring data-driven decision making at the highest level., • Drive the development and adoption of scalable, automated data science tooling and frameworks., • Explore and integrate emerging AI technologies, such as LLMs and Agentic AI, taking use cases from proof-of-concept through to production., • Champion best practices in experimentation, causal inference, and uplift modelling., • Own and deliver the most complex analytical projects, translating ambiguous questions into actionable recommendations., • Mentor and coach Data Scientists and Analysts, fostering technical excellence and a culture of continuous learning., • Scale impact through automation, self-service, and democratisation of data science., • Develop advanced customer segmentation and predictive models that directly inform the product roadmap., • Communicate complex concepts to diverse audiences across Product, Engineering, Design, and Commercial functions. What you’ll bring • Extensive experience in Data Science or a similar quantitative role, with a strong track record of influencing product strategy., • Expert-level proficiency in Python and SQL, with deep experience in statistical modelling, experimentation, and a wide range of machine learning techniques., • Strong product acumen and experience defining and operationalising product and feature-level metrics., • Demonstrated ability to drive strategic impact and influence at senior level., • Experience scaling analytics capabilities through automation and self-service., • Outstanding leadership, mentoring, and collaboration skills., • Degree in Statistics, Mathematics, Data Science, Engineering, Economics, or a related field. A Masters or equivalent advanced degree is desirable. Nice to have • Experience with applied AI, such as NLP, LLMs, or Agentic AI., • Background in two-sided marketplaces, e-commerce, or technology-driven industries., • Advanced programming skills for building simulations and prototyping data products., • Experience validating quantitative findings with qualitative research. Why join • Competitive compensation package with base salary and annual bonus., • Remote-friendly working with flexible schedules and strong work-life balance., • Generous lifestyle and travel perks., • Tuition assistance and career development support., • Health benefits, employee assistance programme, and matched charitable donations. We are committed to building an inclusive workplace where you can bring your whole self to work, grow your career, and have a real impact.

Lead Data Scientist Up to £100,000 London (2-3 days onsite per week - client travel) Company: Join a management consultancy that has been disrupting the industry for over a decade. They work across sectors including Defence, Retail, Government, and Healthcare, delivering bespoke Data Science and Machine Learning solutions. By combining strategy, innovation, and execution, they help organizations turn bold ideas into real-world impact Responsibilities: • Own the end-to-end delivery of complex data science and machine learning projects, • Define and drive data science strategies that align with client goals and broader organizational objectives., • Develop tailored models and algorithms to solve unique client problems to deliver real business value., • Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools., • Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment., • Ability to translate business problems into analytical solutions using advanced modelling techniques. Please note: This role does not offer visa sponsorship

We’re partnering with a fast-growing London-based startup that’s building the next generation of intelligent financial infrastructure. They’re developing a cutting-edge data and AI platform designed to power decision-making and automation across complex financial workflows. As a Senior AI Engineer / Founding Engineer, you’ll play a pivotal role in designing and building the core architecture — defining how modular components communicate, scale, and integrate with enterprise systems. You’ll help shape the technical direction of the platform from day one and work closely with the founding team to bring ambitious ideas to life. What You’ll Do • Architect and build a scalable, modular platform that integrates diverse data sources and systems, • Define component architecture, communication patterns, and integration frameworks across a complex data ecosystem, • Design flexible data ingestion and transformation pipelines for financial market data and trading systems, • Build and maintain AI/ML infrastructure, including model serving, evaluation, and observability frameworks, • Collaborate directly with clients to ensure the platform meets real-world enterprise requirements, • Contribute to both strategic technical direction and hands-on implementation as part of a small, high-performing team About You • Degree-qualified in Computer Science, Engineering, Mathematics, or a related technical field, • 5+ years’ experience designing and building complex platforms or systems, ideally in a startup or fast-paced environment, • Proven track record of architecting scalable, extensible systems with strong component-level design, • Background in finance or fintech – experience with market data, trading systems, or enterprise financial applications, • Ideally from a B2B company serving enterprise clients, comfortable building production systems for large-scale users, • Strong understanding of AI/ML infrastructure patterns and how to bring models into production Why Join This is a rare opportunity to join at the founding stage and shape a high-impact platform from the ground up. If you’re passionate about building scalable AI systems and want to make a real impact in financial technology, we’d love to hear from you.

Senior Quant – Equity Derivatives (Options) 5 days onsite £130,000 - £150,000 + bonus My client is seeking a Senior Quantitative Analyst to join their front-office team focusing on equity derivatives. This individual will drive development of a robust equity derivative library, contribute to risk and pricing infrastructure, and create advanced tools for volatility fitting and dividend marking. The role supports daily trading activities and includes close collaboration with global teams to grow the business across EMEA. Key Responsibilities • Design and enhance the equity derivative library, • Build resilient risk/pricing infrastructure in partnership with IT, • Develop tools for volatility fitting and dividend marking, • Support trading activities and build tools to scale business in EMEA, • Collaborate with global quantitative teams on cross-regional initiatives Requirements • Degree in Finance, Mathematics, Engineering, or related disciplines, • Strong knowledge of equity derivatives and experience in a trading environment, • Proficient coding skills, • 5–10 years of relevant experience, • Ability to problem-solve under pressure and work effectively in a team Interested? Email

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

Interim Head of Data Science – London (Hybrid) NSCG is supporting a global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. The successful candidate will be a hands-on delivery leader, capable of translating complex business challenges into scalable, production-ready data solutions. Key Focus Areas: • Delivery Leadership: Own the end-to-end lifecycle of data science initiatives — from business case to model deployment and performance tracking., • Team Building: Lead and grow a high-performing team of data scientists, ML engineers, and quantitative analysts., • Cross-Functional Impact: Partner with stakeholders across trading, risk, product, marketing, and technology to deliver measurable outcomes., • Innovation & Execution: Build next-gen data products including recommendation engines, pricing optimisation tools, and automated insight systems., • Governance & Ethics: Ensure models meet regulatory standards and ethical guidelines. Ideal Candidate Profile: • Proven track record of delivering data science solutions into production environments at scale., • 8+ years in data science, including 3+ years in leadership roles., • Advanced degree (Master’s or PhD) in Data Science, Statistics, Machine Learning, Computer Science, Mathematics, or Physics., • Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI., • Strong programming skills in Python and SQL; experience with ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP)., • Commercially minded, with the ability to connect technical solutions to business value., • Experience in financial services, fintech, or trading environments is highly desirable. Please send profiles to

About 173tech Our mission is simple, we turn data into value. We are a modern analytics agency that works with some of the fastest growing businesses and top tier VCs globally. We help our clients and their portfolio companies build efficient, scalable and cost-effective data pipelines, high-ROI data use cases and world-class analytics teams. Our founding team previously built analytics at Bumble, from the beginning to $3 billion exit within 5 years. As we enter into our key phase of growth, we are looking for a highly driven data analyst that is, like the rest of the team, a perfect blend of technical capabilities and business focus. You will work on an exciting range of projects, use a variety of data tools, and have a direct impact on our clients’ products and customers. You will learn and grow with our team and our clients. What You Will Do This is a great opportunity for anyone keen to build a broad knowledge of analytics and its immediate impact on company growth and profitability. You will be working with some of the most inspirational teams on a wide range of projects. There are no 2 clients alike but here are some of the common tasks: Strategy: • Act as a strategic advisor for clients and help turn insights into action that drives business performance., • Gather business requirements and build standardised KPI dictionaries with both business and technical definitions., • Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: • Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt)., • Implement testing to ensure trust and integrity of the data pipelines., • Collaborate with the data engineering team on the deployment and maintenance of data architectures. Analytics & Insights: • Deliver automated dashboards using various visualisation tools., • In-depth analyses on a wide range of topics around customer behaviours., • Guide clients on how to use analytics outputs to make smart, data-informed decisions., • Client Communication & Leadership, • Manage day-to-day client communications and guide them along their analytics journey., • Lead data projects from scoping to delivery., • Mentor junior analysts and help improve internal delivery processes. Don’t worry if some of the above looks unfamiliar yet. You will be supported by some of the sharpest minds in data and analytics. If you are confident in 50% of them, we will help you grow to 100%! Who You Are Experience & Education: • A degree or master’s level education, ideally within a quantitative discipline (e.g., Mathematics, Computer Science, Economics)., • 5+ years in an analytics or engineering role., • Experience analysing data to drive business impact. Strategic Skills: • Business-focused and ability to produce actionable insights., • Organised, collaborative and ability to deliver projects in a timely fashion., • Effective communication skills, both written and oral., • Ability to work confidently with large datasets, understanding relationships, cardinality, and data quality issues., • Ability to communicate complex and technical topics in a simple manner. Technical Skills: • Advanced SQL skills essential., • Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi., • Knowledge of dbt., • Familiarity with data warehouses like BigQuery, Snowflake and Redshift., • Knowledge in another programming language such as Python or R or a keen desire to develop programming skills., • Good statistical understanding. Other Skills: • Strong ability and desire to learn. Why Work With Us • A focused yet fun working environment. We host monthly events with the whole team., • Flexible remote and office working with 1-day per month in the office in central London., • Competitive salary., • £500 learning budget per year plus 3 days to attend in-person conferences., • Additional holidays after 2 years with the company., • Health care plan with Vitality., • Employee options scheme - share in the success you help create.

Quantitative Sports Modeller – Sports betting Hedge Fund – London Job Summary Quantitative Sports Modeller is required for a successful startup hedge fund delivering innovative solutions to the sports betting industry. They capitalize on advanced statistical models and machine learning to interpret the complexities of sports, providing deep analytical insights. The successful candidate should have experience developing sports models used for prop trading. As Quantitative Sports Modeller you will need: • 5 years’ experience in development of successful fundamental models within sports betting industry., • A mathematics-based degree from a top university, • Expertise in Bayesian statistics, MCMC, and GLMs, • Knowledge of sports models literature, • Proficient in SQL and Python/R, • Demonstrated experience building and delivering ML and statistical models The Opportunity • Opportunities working on greenfield projects.

Senior Data Scientist - BioTech - London A pioneering London-based biotech company are looking for a Senior Data Scientist to join their team. What will I be doing? • Drive breakthrough algorithm development that's never been done before. You'll be the technical powerhouse behind revolutionary nanopore technology, transforming impossibly noisy time-series data into game-changing insights for biomedical discovery., • Own the full journey from concept to production deployment:, • Collaborate with multidisciplinary teams of world-class scientists and engineers, • Make your mark on the future of proteomics - your algorithms will directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? • PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics, • 5+ years post-qualification experience tackling complex technical challenges, • Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas), • Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers, attention mechanisms), • Strong foundation in probabilistic models (HMMs, Bayesian inference, graphical models), • Track record of delivering impactful research or production systems What's in it for me? • Salary of £80,000 - £100,000 dependent on experience, • Work with cutting-edge nanopore technology that's literally the first of its kind, • Series A funding from prestigious investors including NATO Innovation Fund, • Team includes veterans from Oxford Nanopore and other leading biotech companies, • 4 days in office Apply now for immediate consideration!

A leading global investment bank is seeking a Java Developer / eTrading Strategist to join its London Rates eTrading team. This front-office role sits at the intersection of quantitative research, trading, and technology, focused on delivering high-performance Java systems for pricing and electronic execution across the bank's global Rates business. The Role You will design, build, and optimise low-latency Java components supporting real-time pricing, algorithmic execution, and market connectivity. Working closely with quants and traders, you'll transform quantitative models and execution logic into robust, production-grade trading applications. The role requires deep technical expertise and an interest in market microstructure and electronic execution dynamics. Key Responsibilities * Engineer low-latency, multithreaded Java applications powering Rates pricing and execution. * Partner with quants to integrate and enhance pricing models and execution algorithms. * Develop and tune smart order routers, auto-quoting, and market-making components. * Profile and optimise Java systems for throughput, GC efficiency, and predictable latency. * Implement real-time monitoring, logging, and performance diagnostics. * Collaborate across technology and trading teams to continuously refine execution performance and market response. Candidate Profile * Degree in Computer Science, Engineering, Mathematics, or a related quantitative field. * 10+ years' experience in Java development for low-latency or electronic trading systems. * Deep expertise in Java concurrency, GC tuning, memory management, and NIO. * Strong grasp of market microstructure, FIX protocols, and order handling. * Proven record of delivering production-grade Java trading platforms in front-office environments. * Experience in Rates eTrading (cash or derivatives) strongly preferred although open to other asset classes such as Equities and FX. Preferred Technical Skills * Core Java 11+, multithreading, lock-free programming. * Low-latency messaging (Aeron, Chronicle Queue, Kafka). * Market-making and execution algo frameworks. * Familiarity with distributed architectures and cloud-native Java. What's on Offer * Direct front-office impact on the Rates eTrading desk. * Close collaboration with quants and traders on model integration and execution logic. * Work on cutting-edge low-latency and algo engineering challenges. * Hybrid setup - around 2 days per month in the London office. * Competitive compensation and clear progression opportunities. If you are passionate about Java, pricing, execution, and low-latency trading, we'd love to hear from you. Desired Skills and Experience Computer Science Degree Java Rates algo Front Office Quant Trading McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

The Data Analytics Manager leads the delivery of high-quality analytics services supporting various internal business units. This role oversees day-to-day operations, manages team resources and training, and collaborates closely with the Senior Management to deliver insights, dashboards, and automation solutions that drive client and business outcomes. Key Responsibilities • Design, develop, and maintain client dashboards and reporting tools., • Partner with internal stakeholders to deliver data-driven insights and promote analytics capabilities., • Support complex matters involving data analysis, reporting, and GenAI integration., • Translate complex data into clear, actionable insights for business and client reporting., • Produce and maintain Legal Transformation dashboards for stakeholders., • Ensure data accuracy, format conversions, and effective presentation across projects., • Coach, mentor, and quality-check the work of junior analysts. Qualifications & Skills • Strong analytical reasoning and problem-solving skills with sound judgment., • Proven experience in data analytics, reporting, and dashboard development., • Proficiency in Excel, Power BI (or similar), and foundational knowledge of SQL or Python., • Excellent data storytelling, visualization, and presentation skills., • Experience with SharePoint, Power Automate, and MS Fabric advantageous., • Degree in Data Science, Economics, Mathematics, or related field preferred., • Ability to manage workload in a dynamic, agile environment and effectively delegate tasks.

Senior Engineer (Product) – Up to £130,000 + Strong Equity + Bonus – Sponsorship offered The Opportunity: Join one of the UK’s fastest scaling startups, who are making a big impact on the global economy. The company are building a cybersecurity tools at the forefront of innovation and are looking for multiple Engineers to join. You won’t just be writing code, you’ll be contributing to meaningful solutions, working in a tech-first, mission-driven environment that values your input across both engineering and product decisions. About the Role: We’re looking for Mid - Senior Engineer’s to help build and scale impactful products. Open to Engineers from different object-oriented technical backgrounds, but you’ll be leveraging C# (don’t worry if you haven’t used it before), we are open to a wide range of technical experiences. Your role will involve driving technical decisions and being a hands-on contributor across a wide variety of systems. You’ll help shape the direction of the platform, evaluate new tools and always be encouraged to push boundaries. Skills / Experience • Strong backend engineering skills and a track record of building modern, reliable solutions, • Experience working object-oriented languages, • Cloud infrastructure experience, • Solid testing discipline and clean code standards, • Computer Science, Physics, Mathematics (or similar) degree, • Experience working in high-growth or product led tech environment 📍Central London – Office based Relocation and sponsorship supported Fast paced environment with a thriving winning team culture ✅ cutting edge technology ✅ Interested to find out more, apply now and we can run through the details Senior Engineer (Product) – Up to £130,000 + Strong Equity + Bonus – Sponsorship offered

Quantitative Power Analyst (Data Scientist) Short Term Intraday Stack Models Power Trading London We are working with one of the UK’s leading power generation companies - generating 10–15% of the UK’s electricity - with sites across the UK, Ireland, and Germany. As they scale from 3.5 GW to 7 GW of generation and add 500 MW of battery storage, they're building out their data science capability on the trading floor. We are seeking a highly motivated Quantitative Power Analyst to join our trading team. This role is focused on short-term power markets and sits at the intersection of trading, quantitative analysis, and data-driven modelling. Top Three Focus Areas • Developing algorithms for asset optimisation in short-term power markets., • Applying short-term power trading expertise to drive trading desk performance., • Building and improving short-term pricing models (e.g., stack models, scratch models). What you'll be doing • Take ownership over existing models, and building new short-term intraday stack models, • Own and enhance short-term stack forecasting and dispatch models, • Developing algorithms for optimising assets in the short-term power market, including dispatch/stack models used for pricing and trading decisions, • Working directly with the trading desk to support short-term power trading strategies and decisions, ensuring models are commercially relevant and impactful., • Build intraday trading tools and collaborate on automated strategies, • Apply time series and fundamentals-based modelling to support trading decisions, • Work alongside data engineers to deploy production-grade code, • Mentor others and help embed data science best practices across the team What we're looking for • Strong quantitative background; Master’s degree in computer science, mathematics, engineering, physics, machine learning, or a related field. Ph.D. is a plus., • Proficiency in Python and ability to write clean, production-quality code., • 5+ years of relevant experience in short-term power trading, quant analysis, or algorithmic modelling., • Strong experience in short-term power trading, with direct impact on trading desk decisions., • Hands-on expertise in developing algorithms for asset optimisation in the short-term power market., • Proven experience with stack/dispatch modelling and short-term pricing techniques., • Experience in power markets, with knowledge of financial markets and trading concepts, • Experience with back testing techniques appropriate to financial market applications, • Experience exploring and extracting insights from heterogeneous multi-dimensional data sets, and presenting complex data visually, • Time series modelling (both machine-learning and econometric approaches)

Principal Data Scientist Logistics AI Company (Up to £120,000 per annum) London (4 days per week in office) La Fosse have partnered with a ambitious AI company transforming how businesses in the logistics sector operate. La Fosse are supporting this rapidly expanding AI business in preparing for an international launch, we’re now looking for a Senior and Principal Data Scientist. What you’ll be doing: • Build, deploy, and scale machine learning systems that forecast demand, optimise staffing, and improve operational performance across thousands of venues., • Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring., • Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models., • Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure. About you: • Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD preferred)., • 5+ years’ experience developing and deploying ML models in production environments., • Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face., • Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.)., • Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision., • Solid engineering mindset, you know how to take models from research to production and keep them running reliably., • Curious, proactive, and excited to work in a fast-moving environment where AI drives everything we do. Ready to build AI that transforms how real-world operations run? Apply now and help shape the future of intelligent logistics.

Introduction to team: As a Data Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group’s experimentation platform. Your work will ensure that every feature change on our website—from button colors to booking flows—is rigorously tested to maximize business impact. This role blends research and practical application, requiring you to design, evaluate, and improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting-edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide. In this role, you will: • Lead the development and validation of advanced statistical methodologies to support Expedia Group’s experimentation platform, ensuring robust and reliable A/B testing across the website’s features and user experiences, • Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform’s capabilities and reporting accuracy, • Provide expert guidance and training to cross-functional teams on experimental design, hypothesis testing, and statistical best practices to optimize test duration, sample size, and overall experiment quality, • Conduct original research to explore and develop innovative approaches for experimentation challenges, including designing proof-of-concept studies and integrating new methodologies into production workflows, • Analyze complex experimental data, build simulation frameworks to quantify error rates, and communicate findings clearly to both technical and non-technical stakeholders to inform business decisions What we're looking for: • Deep expertise in statistical methodologies, particularly hypothesis testing, design of experiments, and interpretation of p-values and confidence intervals, with the ability to apply these concepts rigorously in an experimentation context, • Strong analytical mindset with the capability to structure complex business problems and translate them into statistically sound experimental designs and solutions, • Proficiency in programming with experience in Python, PySpark, R, or similar languages, sufficient to implement and test statistical models and simulations, with an emphasis on correctness over advanced coding skills, • Demonstrated ability to conduct independent research, quickly learn new statistical techniques, and develop proof-of-concept models that can be scaled and integrated into production experimentation platforms, • Excellent communication skills to clearly explain complex statistical concepts and experimental results to both technical and non-technical stakeholders, ensuring alignment and understanding across teams Experience and qualifications: • A bachelor’s degree or higher in Mathematics, Statistics, or a closely related quantitative field, providing a strong foundation in statistical theory and experimental design, • Proven expertise in hypothesis testing, design of experiments, and statistical methodologies critical to experimentation science, • Solid programming skills in at least one language such as Python, R, or PySpark, with the ability to write clean, maintainable code to support research and implementation, • Experience applying statistical rigor to real-world business problems, with the ability to independently lead and deploy methodologies at scale, • Strong analytical mindset with the capacity to research, evaluate, and implement new statistical approaches and simulation frameworks, • Excellent communication skills to clearly explain complex statistical concepts and results to both technical and non-technical stakeholders, • Ability to work collaboratively within a small, focused team and liaise effectively with platform engineers and business partners, • Prior experience in experimentation platforms or A/B testing environments is highly desirable, • Autonomy and accountability to serve as a point of contact for statistical methodologies within the team Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the ___. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is ___. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Principal Data Scientist Up to £150,000 London (2-3 days onsite per week - client travel) Company: Join a management consultancy that has been disrupting the industry for over a decade. They work across sectors including Defence, Retail, Government, and Healthcare, delivering bespoke Data Science and Machine Learning solutions. By combining strategy, innovation, and execution, they help organizations turn bold ideas into real-world impact Responsibilities: • Own the end-to-end delivery of complex data science and machine learning projects, • Define and drive data science strategies that align with client goals and broader organizational objectives., • Develop tailored models and algorithms to solve unique client problems to deliver real business value., • Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools., • Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment., • Ability to translate business problems into analytical solutions using advanced modelling techniques. Please note: This role does not offer visa sponsorship

Data Analytics, Business Intelligence, Computer Science, Mathematics, or Economics) with strong analytical foundations. Develop and implement scalable data analytics frameworks to streamline reporting processes and ensure consistent delivery of key business insights. This role is accountable for dri

Support complex efforts involving Analysis, Design, Development and testing of various application components Desired Experience/ Skills: Bachelor?s degree, preferably in Computer Science, Engineering, or Mathematics Previous career roles in Support Analyst coupled with experien

Job Title: 3D Computer Vision Engineer. Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems. Solid grasp of optimization, linear algebra, computer vision, and numerical methods.

The Hall seeks to appoint a highly skilled and inspirational Teacher of Mathematics to join our successful and dedicated Mathematics Department.

Are you passionate about teaching Maths? Are you looking for an innovative and forward thinking school which genuinely invests and develops you? .We are looking for a talented and enthusiastic teacher of Maths to A Level to join our dynamic and successful school; someone with a real passion for th

Are you a Graduate AI Engineer ready to launch your career in Artificial Intelligence?. Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.

A leading global investment firm specialising in quantitative and systematic strategies is seeking a talented Data Scientist (with good data engineering skills) to join a high-impact team at the intersection of research, trading, and engineering. The firm operates across all major liquid asset classes and is driven by a scientific, data-first approach to investing. With a strong culture of innovation and collaboration, the team continuously explores new ways to harness data for alpha generation. About the Role This is a unique opportunity to work in a cross-functional environment where data is central to investment decision-making. You'll be part of a specialist group that partners closely with trading and research teams to ensure data is efficiently sourced, transformed, and deployed across the investment process. Key Responsibilities • Collaborate with trading and research teams to design and implement robust data pipelines tailored to investment strategies., • Work with data engineers to onboard and integrate new datasets, ensuring they are production-ready and aligned with business needs., • Develop and prototype tools to extract, clean, and aggregate data from diverse sources and formats., • Lead the end-to-end onboarding of new datasets, from discovery through to deployment., • Continuously improve data workflows by identifying bottlenecks and implementing scalable solutions., • Experiment with novel data acquisition and transformation techniques to expand the firm's data capabilities. Ideal Candidate Profile • 3+ years of experience in a data science or data engineering role, ideally within a quantitative or financial setting., • Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering., • Strong Python programming skills, particularly with data-centric libraries like Pandas and NumPy., • Demonstrated interest in financial markets and the application of data to investment research., • Experience working with both traditional and alternative financial datasets., • Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders., • Comfortable working in a fast-paced, high-performance environment. If you feel the above fits with your expeirence and are ready to join a fast paced and high performing fund, apply today!

Quantitative Developer – Core Data | Prime Brokerage – Digital Assets Location: London OR New York Company Overview: A global prime brokerage platform, purpose-built to support both traditional and digital asset markets. Serving institutional clients, the firm provides integrated credit intermediation, trade execution, and clearing services - enabling counterparties to access global liquidity with minimal friction and no counterparty risk. Role Overview: As a QD within Core Data, you'd be responsible for building and maintaining the data infrastructure that underpins key services such as Entity Master, Pricing Service, and Position Service. Your work will ensure these systems are reliable, performant, and scalable - freeing up the wider Quant/DS team to focus on strategic platform development. You'll lead efforts to improve data accuracy, integrate new reference sources, and develop robust pipelines for ingestion and processing. This is a hands-on role at the core of a high-performance trading infrastructure. Key Qualifications: • 5+ years of experience in quantitative software development at a top-tier firm, • Strong Python skills, with experience writing production-grade, maintainable code, • Experience building and maintaining data pipelines, • Familiarity with large-scale systems; streaming technology experience is a plus, • Degree in Computer Science, Mathematics or a related field This opportunity offers a highly competitive compensation package and hybrid working model. *This opportunity is open in both London AND New York

Senior Data Scientist Up to £70,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: • Advise business leaders on data-driven strategic decisions., • Improve corporate client and individual customer outcomes., • Develop and maintain predictive models using data science and machine learning., • Build models for customer lifetime value and other key metrics., • Continuously refine analytics through iterative improvements., • Deploy models into production to enable scalable decision-making. Requirements: • MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Experience in Consumer / Marketing Analytics, • Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship.

Software Developer Key Technologies: C#, .NET, .NET Core, Azure, SQL London Perm Role | Hybrid Working Structure £50,000 - £60,000 Harrington Starr has partnered with a global Investment Bank who are looking to hire a seasoned Senior C# Developer with extensive experience developing from Back to Front Office trading systems. Key Responsibilities: • Design, develop and maintain Front Office systems written in C#, ,NET, • Collaborate closely with a variety of internal and external stakeholders around the globe from product managers to traders, • Developing with the existing systems technologies and integration with cloud based architecture (azure), • Strong business knowledge with Post Trade systems Key Benefits: • Competitive base salary up to £60,000 based on previous experience and domain knowledge, • Hybrid working structure - 3 days onsite, 2 days remote working, • Excellent benefits and bonus package, • Building systems for a Global Investment banks Front Office trading team Key Requirements: • Strong commercial experience developing from Back to Front Office trading environments, • BSc Computer Science 2:1 or above or related mathematics based degree, • Excellent communication and stakeholder management, • Passion for development and finance, • Full unrestricted right to work in the UK - visa sponsorship will not be provided Please apply via the link provided or reach out to me directly to book in a confidential phone call -

Data Science Manager Up to £85,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: • Stay hands-on while advising business leaders on data-driven decisions., • Drive improvements in client and customer outcomes through active data analysis and modeling., • Develop and refine predictive and machine learning models., • Build and optimize customer lifetime value and key metric models., • Continuously improve analytics and model accuracy., • Lead and contribute to scalable model deployment in production. Requirements: • MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Experience in Consumer / Marketing Analytics, • Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship.

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

Graduate Trading Desk Operations Engineer - Quant Trading (2026 Start) Start August 2026 Quant Capital is urgently looking for a Graduate Trade Desk Operations Analyst to join our high profile client. Our client is a top-tier global proprietary trading firm that leverages the latest technology, sophisticated algorithms and deep knowledge to trade in capital markets globally. This is an environment of science and intellectuals. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart entrepreneurial people deeply interested in the sector who are ready to teach what they know. We we are looking for a junior or graduate with sub 2 years of experience and the ability to deal with quick difficult maths problems. You will interface with various groups within the business to ensure that all trades are reflected accurately in all systems. Specifically, the Trade Desk Operations Analyst will be involved with research, rapid development execution of trade orders, automation of processes, and personal projects. This position sits directly in a trading team and is a highly sought-after role. The role requires close collaboration with the traders, researchers and technical parts of the business to best align technical solutions with the schedules and analytic needs of various strategies. This is a role for someone with a strong level of applied mathematics or engineering with an interest in solving problems and working in a fast-paced rewarding environment. Trade Desk Operations Analyst MUST have: • A at A-level Maths or equivalent, • Excellent Excel skills, • Logical thought processes, • A STEM degree from a top ranked University, • An interest and some coding ability (VBA, Ruby, Go, Lua, Scala, Python or C++ or OO Language), • An appetite for delivering solutions to complex problem My client is based in London