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Educated with an associated finance or mathematical discipline to a post graduate standard.

Our client, a Leading Quantitative Trading Firm, is seeking a Senior FPGA Engineer to join its high-performance technology team. This role offers the opportunity to work on cutting-edge hardware solutions that power electronic trading strategies. You’ll be part of a collaborative environment where engineers and quantitative researchers work closely to optimize performance and scale systems across multiple platforms. Responsibilities • Contribute to the design, implementation, and verification of FPGA-based systems used in latency-sensitive trading environments., • Develop reusable IP blocks and scalable architectures for deployment across different hardware platforms., • Work with cross-functional teams to integrate FPGA solutions into broader trading and networking infrastructure., • Optimize designs for speed, reliability, and efficiency while maintaining code quality and reusability., • Support production systems, troubleshoot performance issues, and drive continuous improvement., • Explore new hardware and software technologies that could enhance the firm’s trading capabilities. Ideal Candidates • Professional experience in FPGA/ASIC development and digital logic design., • Strong proficiency with hardware description languages (SystemVerilog, Verilog, or VHDL)., • Solid understanding of digital design principles and verification methodologies., • Experience with FPGA toolchains and flows for design, synthesis, simulation, and debugging., • Knowledge of C++ and familiarity with scripting languages such as Python or Bash., • Background in networking protocols, packet processing, or high-speed transceivers is advantageous., • Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. This is a unique opportunity to join a high-performing trading firm, work alongside world-class technologists, and have a direct impact on mission critical systems. The firm offers highly competitive compensation packages and a dynamic, innovative working environment. Feel free to apply or reach out at if you meet the requirements and would like to learn more.

Graduate / Junior Developer – build tools that make an impact Are you looking for your first step into the world of hedge funds where you can quickly make a real difference? You’ll join a small, collaborative team that focuses on building tools and dashboards to support high-impact decision making. You will work on projects that move from prototype to production, helping to turn proofs of concept into reliable applications that are used every day by traders and portfolio managers. Along the way, you will gain hands-on experience with modern development tools, gaining exposure to F#, while also learning how to build web scraping and data integration workflows. This is not a role where you will be stuck in the background. You will contribute from day one, take on increasing responsibility as you grow, and gain exposure to every stage of the development lifecycle. Not only will you develop your software development skills, but you will also gain a product-focused mindset and be comfortable operating in a fast-paced environment. Ideally you’ll be coming with basic programming knowledge with an understanding of Linux. Most importantly, you will need to have good communication skills and have the confidence to interact with various stakeholders. This is a privately owned investment management firm that specialises in systematic and quantitative trading strategies. Salary will depend on your experience. Of course if you're a fresh graduate with limited experience you'll earn less than if you have a couple of years' experience. On top of that you'll also have a bonus, which will be based on yours and the fund's performance. There's a great opportunity to do very well financially here in the long term. Want to make an impact in a close-knit team? Get in touch. No up-to-date CV required.

Data Scientist/6-month contract can be extended/London, UK/30-40 pounds an hour Role Overview • Join a dynamic team driving a Firm-wide GenAI initiative aimed at advancing our people solutions. Collaborate with engineers, data scientists, designers, product managers, and stakeholders to deliver a critical product that supports the development, engagement, and retention of exceptional talent. As the DS in charge of testing, you’ll ensure the quality, reliability, and performance of cutting-edge features during an exciting phase of growth, supporting a rapidly expanding user base. This role is ideally suited for candidates in US/Europe time zones., • As the DS for LLM testing, you will define and execute the technical vision and strategy for AI controls and testing. Your responsibilities will include continuous monitoring, evaluation, and reporting of LLM features to ensure compliance with internal standards, best practices, and external regulations. You’ll play a key role in risk assessment and mitigation, guiding the responsible development and deployment of LLMs., • You will design and implement test cases for LLM governance and development, enabling your team to define features and mitigate risks. Collaborating with cross-functional teams, you’ll develop tools, automation strategies, and data pipelines to support scalable LLM management. Additionally, you’ll create standardized reporting templates for both technical and senior leadership audiences, ensuring clear communication of results., • Your work will involve close collaboration with tool owners and senior management to present findings, assess risk implications, and propose enhancements to AI tools., • Responsibilities, • Lead testing efforts for the platform, focusing on LLM output testing to ensure reliability, accuracy, and performance, • Develop and maintain a comprehensive and representative dataset of inputs and expected outputs for each prompt in the tool (i.e., benchmark dataset), • Develop and maintain comprehensive testing strategies, including semantic similarity, Q&A validation, claims verification, LLM judge evaluations, and metrics like ROUGE, • Collaborate with engineering, product, and data science teams to define testing requirements, thresholds, and standards, • Design and implement robust test cases aligned with business goals and user needs, • Write and maintain automated tests in Python using frameworks like pytest (prior experience with Opik is not required), • Monitor and improve test stability to support application changes, • Establish and track QA KPIs, such as test coverage and stability, to measure and communicate platform quality, • Stay updated on industry best practices for GenAI/LLM testing and integrate them into QA processes Skills • Python Proficiency: Strong experience in writing and maintaining Python code, • LLM/GenAI Testing Expertise: Experience in testing LLM outputs, including semantic similarity, Q&A validation, claims verification, LLM judges, and evaluation metrics like ROUGE, • Testing Frameworks: Understanding of automated testing tools (e.g., pytest), • Test Strategy Development: Proven ability to design and implement test strategies for complex systems General • Leadership: Demonstrated ability to lead own workstream and drive quality initiatives in fast-paced environments, • Stakeholder Collaboration: Strong communication skills to align technical and non-technical stakeholders on testing needs and standards, • Execution-Oriented: Self-driven with a “get stuff done” mindset, able to work independently and adapt quickly, • Agile Mindset: Familiarity with agile principles and product development processes, • Global Collaboration: Comfortable working with a global team and accommodating occasional early or late meetings Education Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role We are developing a next-generation humanoid robot using a simulation-first, capability-driven approach to hardware design. As a Capability Simulation & Control Engineer, your mission is to analyze and characterize the limits of our robotic platforms - before they are built. You will sit at the intersection of simulation, control, and hardware design, enabling rapid iteration cycles by ensuring we understand the physical and algorithmic feasibility of each design decision. Your focus will be to define, simulate, and validate robotic capabilities - such as reachability, dynamic balance, force/torque limits, manipulability, workspace optimization, and sensor placement - under real-world constraints. The insights you generate will directly inform mechanical design, sensor layout, and control interface development. Key Responsibilities: Capability Evaluation & Simulation • Develop tools and pipelines to analyze and visualize platform capabilities (e.g., kinematic reach, manipulability maps, dynamic feasibility, joint torque-speed curves)., • Integrate dynamic and quasi-static evaluations of locomotion, manipulation, and perception effectiveness into the simulation loop., • Incorporate model-based and learning-based methods to evaluate adaptive capabilities under uncertainty Hardware Design Feedback Loop • Provide actionable quantitative insights to inform joint placement, limb proportions, mass distribution, sensor positioning, actuator sizing, and other HW design variables., • Work closely with mechanical engineers, control developers, and perception experts to co-design simulation tasks that expose key tradeoffs and performance bottlenecks. Test Scenario & Pipeline Development • Design and implement reusable test scenarios for various hardware configurations and use cases., • Automate performance reporting and limit detection in the context of control performance, perception accuracy, and stability. Model Fidelity & Integration • Ensure that models used for capability analysis reflect sufficient physical realism without slowing iteration cycles., • Collaborate with simulation experts to incorporate contact models, compliance, and actuator characteristics into the testing loop. Design Exploration • Support rapid evaluation of alternate hardware morphologies by stress-testing capabilities through scripted benchmarks or learned behaviors., • Develop visual and quantitative design-space exploration tools to help prioritize tradeoffs across competing metrics (e.g., power consumption vs workspace). Requirements: • M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control Systems, or a related field., • Solid foundation in robot kinematics, dynamics, and control., • Proficient in simulation environments such as MuJoCo and Isaac Sim, or custom tools., • Experience evaluating or optimizing robotic systems for capability limits (reach, manipulability, torque-speed, dynamic stability)., • Familiarity with optimization tools and version control for collaborative pipelines., • Strong software skills (Python and/or C++; experience with ROS or similar frameworks)., • Ability to communicate technical results to multidisciplinary teams and influence design decisions. Nice-to-Have: • Familiarity with whole-body control, redundancy resolution, or torque-controlled platforms., • Experience with optimization and design-space exploration., • Exposure to hardware-in-the-loop simulation or perceptual simulation., • Hands-on experience with humanoid or bipedal platforms, including torque-controlled systems What We Offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation and travel opportunities to our London, Vancouver, and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Quantitative Trader | London Location: London Industry: Proprietary Trading / Quant Research Experience: 7+ years in HFT Terms: Full-time, In Office 💰 Compensation: Highly Competitive + Bonus + Benefits Our client, a fast-growing prop trading firm, is seeking a Senior Quantitative Trader to own and run high-frequency strategies across global markets. Known for cutting-edge low-latency infrastructure and a collaborative culture, the firm offers a platform for traders who want impact and scale. What You’ll Do • Design, test, and deploy automated short-horizon strategies, • Trade live with full ownership of PnL, • 7+ years in HFT with verifiable PnL & strong Sharpe, • Experience developing live strategies in C++/C, • Strong data analysis in Python/R/Matlab 📩 | 🔗 ___ 📩 | 🔗

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role • Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems., • Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources., • Collaborate with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data., • Contribute to the evolution of modern cloud-based data infrastructure, working with tools such as Airflow, Kafka, Spark, and AWS., • Monitor and troubleshoot data workflows, ensuring continuous delivery of high-quality, analysis-ready datasets., • Play a visible role in enhancing the firm’s broader data strategy and engineering culture. Candidate Profile • 1–5 years’ experience in data engineering, analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment., • Strong programming ability in Python (including libraries such as pandas and NumPy) and proficiency with SQL., • Confident working with ETL frameworks, data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS)., • Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech., • STEM degree in Mathematics, Physics, Computer Science, Engineering, or a related field., • Demonstrates curiosity, attention to detail, and a pragmatic, problem-solving mindset., • Enjoys collaborating across technical and non-technical teams in fast-paced, high-performance settings. Why This Opportunity? • Work at the intersection of data, technology, and finance, where clean engineering directly impacts business performance., • Gain exposure to cutting-edge data stacks and high-availability systems., • Collaborate with world-class technologists and quantitative researchers., • Structured progression — clear visibility into senior engineering or platform leadership paths., • Competitive compensation with bonus upside and exceptional learning curve.

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

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!

Lead Developer – Trading Systems (C++) - Systematic Crypto Arm - London - Up to £650k TC - WFH My client, a tier 1 proprietary trading firm with a three-decade track record in global markets, is seeking a Senior Software Engineer to join the systematic crypto arm of its high-frequency trading business. The firm operates across a broad spectrum of asset classes, including fixed income, equities, FX, commodities, and digital assets, designing and deploying sophisticated strategies with speed, scale, and precision. The Systematic Crypto Trading team runs fully automated, mid- and high-frequency strategies across digital asset markets, trading 24/7 around the globe. To support this, we are looking for an engineer with deep expertise in C++ and a passion for building robust, high-performance distributed systems. This is not an ordinary engineering role: the systems you build will directly power live trading strategies with global impact, requiring extreme reliability, low latency, and seamless scalability. You’ll collaborate daily with quantitative researchers and traders, shaping the tools and infrastructure that drive next-generation systematic strategies. What You’ll Do • Architect, design, and implement mission-critical trading systems for systematic digital asset strategies., • Build and optimise market data pipelines, execution algorithms, and portfolio infrastructure in modern C++., • Develop distributed, high-availability systems that meet strict latency and reliability demands., • Work closely with researchers to turn ideas into production-ready trading tools., • Own the full software lifecycle—from design through deployment and on-call support., • Continuously innovate to improve performance, resiliency, and scalability. What We’re Looking For • 7+ years of professional software engineering experience, with at least 5 years in modern C++ (C++17/20 strongly preferred)., • A proven track record of building complex, mission-critical distributed systems., • Deep understanding of concurrency, memory management, and type systems in C++., • Hands-on experience with low-latency, high-throughput systems in production., • Strong grasp of networking protocols, systems tradeoffs, and numerical/statistical methods., • Prior exposure to trading or financial systems strongly preferred., • Excellent communication skills, with the ability to work closely with researchers and traders., • Self-motivated, with the drive to turn high-level requirements into production-ready systems. Nice to Have • Familiarity with Python for research and C++ integration., • Direct collaboration experience with quant researchers., • Knowledge of machine learning concepts and model lifecycles., • Exposure to functional programming or immutable design principles., • Hands-on experience with Cython or bridging C++ and Python stacks. Why Join • High impact: Your engineering will directly shape systematic crypto trading strategies., • Autonomy: Real ownership to design, build, and innovate., • Scale: Operate across global markets, 24/7., • Culture: Work alongside world-class engineers, researchers, and traders solving highly complex problems. This is an opportunity to apply your expertise in C++ and distributed systems to one of the most competitive environments in the world: systematic, high-frequency crypto trading.

Meytier, a dynamic, high-impact job platform headquartered in New York. We partner with Fortune 500 companies, PE/VC firms, and fast-growing startups to help them discover and hire exceptional talent. This is a high-impact career opportunity for a Engineer Manager – Search & Discovery with one of our technology clients, The world’s leading marketplace and auction services platform, with revolutionizing the $15B+ global auction industry, connecting millions of buyers and sellers worldwide and driving sustainable growth in the circular economy. Engineering Manager - Search & Discovery Some problems we are working on in the search domain: ● How to make search results and suggestions relevant to our users? ● How to ensure our systems are stable and performant? ● How do we improve ranking of search results? ● How do we reduce zero result rate for search queries? and many more such questions... Your Mission Make the search experience frictionless for our users ● Define and drive engineering excellence ● Own end to end delivery of team's projects ● Ensure continued service reliability, and timely technical support for all stakeholders ● Collaborate with Product, Analytics and AI to define and drive product roadmap ● Manage career development of people in the team through continuous coaching and mentoring Responsibilities ● Partner with stakeholders to deeply understand their priorities and translate them into clear technical strategies. ● Balance partner needs by designing solutions that advance user-facing experiences while ensuring system scalability, reliability, and efficiency. ● Oversee the delivery of end-to-end improvements in search quality, spanning data pipelines, ML models, and distributed systems. ● Drive the adoption of advanced ML methods while ensuring pragmatic, production-ready implementations. ● Grow, mentor, and develop a diverse team of engineers, fostering collaboration with applied scientists and system experts. ● Provide technical and organizational leadership, ensuring execution excellence while crafting a long-term strategy for search and knowledge systems. What you need to be successful ● 2+ years experience of leading a cross-functional team as an Engineering Manager ● Bachelor/ Master’s degree or equivalent in a quantitative field such as Computer Science, Engineering, Mathematics or Similar ● Proven background in Machine Learning, NLP, and large-scale Search, with the ability to guide teams at the forefront of these fields. Familiarity with vector search, hybrid retrieval (lexical + semantic), and personalization techniques will be a strong plus. ● Deep expertise in retrieval and ranking models and the broader search stack, with a track record of delivering production-quality systems at scale. ● Comfortable with ambiguity and able to navigate it to solve problems. Ability to break a problem into manageable tasks and establish clear goals for the team ● Effective communication and ability to explain complex work in simple terms to team members, stakeholders and senior leadership ● Be a role model for other Engineers in the team and help establish a culture of engineering excellence, collaboration, continuous learning, and innovation ● Proven expertise in stakeholder management and fostering strong relationships. ● Excellent business understanding to drive informed engineering decisions

Job: Murex Analyst Location: London, UK or Madrid/Malaga, Spain Full time via Quanteam UK Hybrid working – travel to office is required Overview: The FX Tribe is responsible for delivering projects that support the FX trading business. Within the FX Portfolio and Risk Management Squad, we are looking for a Murex Analyst to manage and enhance FX systems related to STP (Straight-Through Processing) and Risk Management. The role involves: • Designing and implementing intelligent logic., • Integrating FX systems with Murex, Back Office, Regulatory platforms, and other downstream systems., • Supporting the implementation of new products and business capabilities across multiple countries, with a particular focus on Murex integration and configuration., • This position offers exposure to a dynamic trading environment, advanced technology platforms, and cross-country collaboration. Required Qualifications • 3+ years of experience in Financial Services / Banking., • Hands-on experience with the Murex Datamart module (feeders and native Datamart tables). Applications without this will not be considered., • Strong knowledge of SQL and data analysis tools. Applications without this will not be considered., • Murex functional knowledge across different modules., • Proficiency with Linux and scripting., • Good understanding of FX products (Cash and Volatility)., • Ability to manage and document UAT evidence., • Experience collaborating on technical requirements, solution design, and test cycle management., • Fluent English (written and spoken). Nice to have: • Knowledge of Control-M or other scheduling tools., • Experience with interfaces (inbound/outbound), including at least one year working with XMLs., • Ability to react effectively to production support incidents., • Experience in delivering test strategies and writing clear, concise test cases., • Knowledge of FLEX libraries in Murex and PYMX architecture., • Exposure to parallel computing concepts and evaluation on AWS., • Familiarity with Agile development and the software development lifecycle., • Ability to write Python scripts for file benchmarking or generating ad hoc reports., • Spanish language knowledge (optional). WHO WE ARE Quanteam Group is a Consulting firm specialized in the Capital Markets industry, in Paris, London, Krakow, Brussels, New York and North Africa. Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation. The firm mainly takes part in: • Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. Basel III, Solvency II, FATCA, EMIR, MiFID), Pricing & Valuation, Organizational Transformation & Process Improvement., • IT & Information systems consulting: Business Analysis, Project Management, Change management, Front Office Support (functional and technical), Development (e.g C++, Python, C#, Java, VBA), Financial Software (e.g. Sophis, Murex, Summit, Calypso), IT Transformation & Innovation. As part of Quanteam Group, Quanteam UK & PL has today more than 80 consultants, working for major Capital Markets institutions in London and Krakow.

Software Engineer - Quantitative Finance 40+ top trading firms seeking exceptional engineers. Multiple immediate openings. What you'll do: • Build trading systems and market data infrastructure, • Develop quantitative research platforms and tools, • Optimize performance-critical financial applications Requirements: • 2+ years software engineering experience, • Strong C++/Python/Java skills, • Trading experience preferred but not essential Our network: • Pay: $150K-$800K+ based on experience, • Locations: London, Remote, • Focus: Trading platforms, risk systems, data infrastructure From high-growth prop firms to established systematic funds. Ready to engineer the markets? Apply now for confidential discussions.

Junior FPGA Engineer - High Frequency Trading - Low Latency - London - Market Leading Compensation We’re partnering with a leading high-frequency trading (HFT) firm seeking a Junior FPGA Engineer to join a world-class low-latency engineering team. This is a unique opportunity for an ambitious hardware or FPGA engineer who wants to work on ultra-low latency trading systems, contribute directly to production performance, and grow in a fast-paced, entrepreneurial environment. What You’ll Work On • Designing, implementing, and optimising FPGA-based trading systems used in live production environments., • Working across networking, hardware acceleration, and digital design to push performance limits in microseconds and sub-microseconds trading., • Collaborating closely with software engineers and quantitative researchers to integrate FPGA systems into full trading pipelines., • Exposure to high-performance systems architecture, custom protocol design, and hardware/software co-design. What We’re Looking For • Strong foundation in FPGA design, VHDL/Verilog/SystemVerilog, or hardware acceleration., • Exposure to high-speed networking (Ethernet, PCIe, UDP/TCP stacks) is a plus., • Hands-on experience with low-level systems, ideally from a startup, lab, or small engineering team where you owned projects end-to-end., • A problem-solver who enjoys working close to the metal, experimenting, and optimizing performance., • Passion for trading technology, low-latency systems, or real-time computing. Why Join • Work on cutting-edge FPGA systems in a high-impact trading environment., • Learn from some of the industry’s best hardware and trading engineers., • Highly competitive compensation and the chance to build things that directly move the market.

Experix London - Hybrid Employment Type - Full time Department - Defence What you'll be doing: As a Data Scientist in our Defence business unit you will be part of project teams that deliver bespoke algorithms to our clients across the Defence sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that the company can continue to deliver high-quality software within the allocated timeframes. The company has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to the company platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team. Who we're looking for: • Proven experience in either a professional data science position or a quantitative academic field, • Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe, • An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe), • A high level of mathematical competence and proficiency in statistics, • A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill, • An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment, • Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience, • Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery What we can offer you: The company team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. The company is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to the company, and you’ll learn something new from everyone you meet.

Department: Academic/Bath Spa University (BSU), University of Suffolk (UoS), Canterbury Christ Church University (CCCU), Oxford Brooks University (OBU) and/or Pearson partnerships \n Location: London (Greenford and East London, On-Site) \n Type of Contract: Full-Time, Permanent (40 hours per week) \n Our Vision: Changing lives through education. \n What we do: GBS is a higher education provider, working in partnership with several of the UK’s leading higher education providers to offer a range of sector-relevant courses across ten campuses in London, Birmingham, Leeds and Manchester. We offer a wide range of modern courses across business, construction, computing, project management, healthcare, psychology and more. \n The role: We are currently seeking full-time Study Skills Lecturers who will work in close collaboration with subject lecturers to develop and teach study skills within the curriculum across a range of HE programmes from Foundation to Masters’ Level as part of our BSU, UoS and OBU partnerships. This includes for example, improving English language and numeracy, organisational and presentation skills, digital literacy and basic IT skills, reading, writing and higher order research skills. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. \n Please note this role is not eligible for visa sponsorship. \n What you'll be doing: \n\n • Designing/documenting bespoke courses, digital resources, workshop plans and individual schemes of work as required to develop study skills in the curricula\n, • Delivering/evaluating teaching and identifying areas for potential improvement to enhance the quality of teaching, learning and overall student experience in accordance with the GBS’s Learning and Teaching strategy\n, • Providing feedback on individual and class progress in their understanding of academic writing and other relevant study skills\n, • Providing tutorial consultations with students, constructive comments individual to each student's need, explaining where work fails to meet assessment criteria and suggesting ways to improve their work / working practices\n, • Recording details from these appointments for statistical, evaluation and quality purposes, and to refer students to other services as appropriate\n, • Effectively engaging with VLE and research resources and facilitate students’ learning by means of engagement with online resources and activities.\n, • You will hold a Master's degree in relevant subject area (PhD desirable) \n, • You will have previous UK HE lecturing experience in the wider subject area\n, • You will have successful track record of teaching adult learners from diverse backgrounds on HE programmes\n, • You will have proven experience of providing individual and group study skills support in response to identified learning needs\n, • You will be willing to lead a specific area of literacy development, such as reading, writing, critical thinking, numeracy, digital skills, research skills (quantitative or qualitative), project and dissertation support, peer-assisted learning;\n, • Expertise in digital educational resources development, course design and curriculum development\n, • DELTA qualification\n, • 25 days annual leave, plus 8 public holiday\n, • 1-day extra leave per year of service, up to a maximum of 5 days\n, • Workplace pension scheme\n, • Tuition reimbursement for career development courses\n, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more\n, • Perks@Work discounts platform, wellbeing centre and much more\n, • Reward and recognition programme\n, • £500 award employee referral scheme\n

Join a Tier 1 Investment bank in their leading global FX trading platform as a Java Engineer, contributing to the backbone of ultra-low latency systems powering high-volume electronic trading. This role focuses on building high-performance, globally distributed Java services that enable real-time transaction processing, configuration management, and support for quantitative research and trading teams. Key Responsibilities: • Develop scalable backend systems to support high-frequency FX trading, • Collaborate with quants and traders to deliver platform enhancements, • Drive performance tuning and solve low-level technical bottlenecks, • Maintain high standards in testing, documentation, and code quality Tech Stack & Skills: • Strong proficiency in core Java, • Exposure to JavaScript/TypeScript & HTML5 is a plus, • Deep understanding of data structures, algorithms, and performance optimization, • Familiar with modern SDLC tools and CI/CD workflows Competitive compensation package and a flexible hybrid working model.

Senior C++ Developer - High Frequency Trading, New Office Buildout (London) Overview: Our client is expanding with a new office in London and is seeking the first C++ developers to join this exciting venture. Founded in 2014, they are a quantitative investment firm that has assembled a team of researchers, portfolio managers, and technologists. By leveraging quantitative analysis and insights in financial markets, they excel in some of the most intricate and competitive products. As a growing electronic trading firm, they blend disciplines such as computer science, finance, systems engineering, and statistics. Their dedicated engineers and traders have developed some of the fastest trading systems. Their competitive edge lies in their low latency trading platform. Supported by highly skilled programmers, they are utilising the latest technologies to build a fast, low latency, and robust trading infrastructure capable of handling transactions worth millions daily. Requirements: • A degree in Computer Science or a related field, demonstrating a strong foundation in theoretical and practical aspects of computing., • Extensive experience with C/C++ and object-oriented programming, showcasing the ability to write efficient, maintainable, and scalable code., • Proven experience in the high-frequency trading (HFT) industry, with a deep understanding of the unique challenges and requirements of this fast-paced environment., • Expertise in algorithms and data structures, with the ability to design and implement complex solutions to optimise performance and efficiency., • Excellent problem-solving skills, with a track record of identifying issues, analysing root causes, and implementing effective solutions., • Strong communication skills, both written and verbal, enabling effective collaboration with team members and stakeholders., • A working knowledge of Linux systems, including experience with system-level programming, scripting, and performance tuning. Apply Now!

Python Software Engineer – High-Frequency Trading We're working with a high-frequency trading (HFT) firm that is looking to expand its technology team with a Python Software Engineer. This is an opportunity to join a trading firm operating at the cutting edge of global markets, where technology and speed are paramount. They build and run highly scalable, ultra-low latency trading systems that compete across major global exchanges. You’ll work on some of the most complex and rewarding engineering challenges in the financial technology space. The Role As a Python Software Engineer, you’ll collaborate with traders, quantitative researchers, and other developers to design, develop, and optimise trading infrastructure. You’ll be directly contributing to systems that operate at nanosecond-level latency and handle massive volumes of real-time data. Key Responsibilities • Develop and maintain systems for real-time market data, trade execution, and reconciliation., • Optimise performance and scalability across key trading infrastructure components., • Partner with cross-functional teams to improve tooling, observability, and automation., • Deliver robust, production-ready solutions in a fast-paced environment. Requirements • Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance domains)., • Exposure to C++ or willingness to work in multi-language environments is a plus., • Familiarity with SQL databases and Linux-based systems., • Interest in financial markets, real-time systems, or algorithmic trading. Why Apply? • Opportunity to work on high-impact systems used in live trading., • Collaborate with some of the brightest minds in quantitative finance and software engineering., • Competitive compensation package with a base salary, plus bonus. We are reviewing applications on a rolling basis. If this role sounds like a fit, apply now to learn more. Please note: Due to high application volume, we’re only able to respond to candidates who are shortlisted within 3 working days.

C# Strategy Developer – Front Office Trading Overview Our client is a global quantitative trading firm that brings together exceptional talent in technology, trading, and quantitative research to compete in dynamic financial markets. Specializing in derivatives trading, market making, and systematic strategies, our client leverages cutting-edge technology and a collaborative culture to achieve sustained success. Within the organization, technologists play a pivotal role in shaping the future of electronic trading. They design and build advanced, high-performance systems that empower traders and quantitative researchers to make data-driven decisions in some of the world’s most competitive markets. Our client is seeking an experienced C# Strategy Developer to join its Front Office Trading Technology team in London. This role offers a unique opportunity to work closely with the Head of Trading Desk and senior traders to design and develop strategic trading software solutions that directly influence trading performance. It is a high-visibility, high-impact position suited to skilled developers who thrive in fast-paced, collaborative environments where technology and strategy intersect. Key Responsibilities • Design, build, and enhance C# applications that support and drive real-time trading strategies., • Collaborate directly with traders, quantitative analysts, and the Head of Trading Desk to develop tools and analytics that enable informed decision-making., • Build and maintain high-performance, low-latency systems supporting execution, pricing, and strategy development., • Manage the full software development lifecycle—from concept and design through to deployment and production support., • Identify and optimize performance bottlenecks, ensuring systems scale effectively with evolving business needs., • Contribute to the architecture and evolution of our client’s front office trading systems, prioritizing reliability, efficiency, and innovation. Qualifications and Experience • Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related technical discipline., • A minimum of 3 years’ professional experience developing server-side applications in C#/.NET., • Strong understanding of object-oriented design, concurrency, and real-time systems., • Proven experience in delivering high-performance or low-latency applications., • Excellent communication and collaboration skills, with the ability to work directly with traders, quantitative researchers, and technology leaders., • Previous experience in a front office environment or with trading system development is highly desirable., • Familiarity with Python or WPF/MVVM frameworks is advantageous., • A genuine passion for building robust, efficient, and scalable software solutions that deliver measurable impact.

We are collaborating closely with a global alternative Asset Management group specializing in private debt, real assets, private equity, and capital markets strategies. Headquartered in Europe, it operates across multiple continents with a strong presence in major financial centers. They are looking to build out their Data Hub in London and will begin by welcoming a Senior Data Analytics Engineer onto the team on a contract basis. You will play a key role in automating reporting processes, building dashboards, and delivering actionable insights for business stakeholders-primarily in Risk, Front Office, and Asset Management. Title: Data Analytics Engineer Type: Contract Duration: 12 months Location: London (4 days on-site required) Daily rate: DoE Key responsibilities: • Automate and optimize reporting processes using Python, PowerBI, Azure and Databricks., • Develop and maintain dashboards to support business decision-making., • Collaborate closely with business stakeholders to understand requirements and deliver tailored data solutions., • Provide analytical support and solutions for Risk, Front Office, and Asset Management teams., • Contribute to the design and implementation of scalable data pipelines on Azure., • Support the budgeting process and workforce planning by providing data-driven insights. Key requirements: • Proven experience in Financial Services (ideally with exposure to Quantitative Analytics, Risk Modelling, etc.), • Advanced proficiency in Python, PowerBI, Databricks, and Azure., • Strong background in dashboarding, data automation, and process optimization., • Excellent communication skills and ability to work with business stakeholders e.g. Risk Managers, Portfolio Managers, etc., • Experience working in a multi-location, fast-paced environment. Does this sound like a good fit for you? Submit your application today and we'll be in touch ASAP.

We are seeking strong Python focused Quantitative Developers with 4 years + of experience to join one of the most successful hedge funds in London. There are roles across multiple teams so they can find the best fit for your experience and skill set! The fund is currently building out a new arm of the business so there is a wide variety of greenfield projects including building out a new trading platform and migrating the existing platforms to a cloud-native architecture. Coming in at this crucial moment, you will have technical ownership and autonomy from the get-go, as well as the freedom to speak with the business and input your opinions. Role: • Take ownership of delivery, understanding the feature to be delivered and owning the front to back solution., • Design imaginative and flexible tools that keep pace with the continual expansion into different markets/asset classes in which the business is trading and the style they trade them., • Work extremely closely with the business, collaborating with other developers and quants to improve the overall architecture of the systems. Requirements: • Strong programming experience in Python., • Strong academic background – Ideally a STEM degree., • Strong communication and teamwork skills., • Ideally Commodities or Fixed Income experience. Benefits: • Lucrative compensation – above market standard base salary with incredible bonus structure., • Constant exposure to a strategic business area of the company without needed any prior experience within the financial domain., • Flexible working from home policy., • Private Healthcare., • Free Gym Membership.

Our client is a leading market making, high frequency trading, and multi-stage Web3 venture investment firm. They are now looking for a Senior and a Junior Rust Developer to be based in London. As a Rust Developer, you will: • Maintain and improve our peripheral applications, as well as user interfaces, with the latest Rust and .NET technologies, to support our 24/7 activities, • Work in an international team of like-minded professionals in an agile and autonomous environment, • Collaborate with senior teammates to investigate the latest technologies and industry best practices. When appropriate, design together the required changes and integrate them to expand our system's capabilities, • Provide production support, • Mentor and guide team members Required skillset You should get in touch if: • 2-7 years of related experience, familiar in Linux environment;, • You hold university degree in Computer Science, Software Engineering, or related disciplines, • You write clean and efficient code in Rust, • You demonstrate strong interest in financial markets and blockchain technologies, • You own your deliverables' reliability, scalability, and maintainability, • You love to analyse and tackle complex problems with elegant solutions, • You have exposure in multithreading, web protocol (e.g. websocket, RESTful), or high throughput/low latency design is a plus

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities • Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing., • Develop and optimize SQL queries for data extraction, aggregation, and reporting., • Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions., • Support critical production processes, including daily T+1 and month-end P&L workflows., • Stay ahead of database technologies and continuously evaluate new data ingestion methods and performance optimizations., • Provide on-call coverage for critical services, particularly in Asian trading hours when required., • Train & mentor other developers in data engineering best practices. Requirements • Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets., • 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution., • Experience with database performance tuning, query optimization, and data pipeline automation., • A deep understanding of financial markets, trading workflows, and risk analytics is highly beneficial., • Ability to work independently and within a small, high-performance team in a fast-paced environment., • Master’s in Computer Science, Engineering, or a related quantitative field. My client anticipates to pay a strong performer upwards of £350k year 1 total compensation package. As well as a market-leading compensation package, they offer exceptional benefits including a top-tier healthcare package, fully subsidised qualifications plus breakfast and lunch paid for each day. To apply, either respond to this advert or send your CV directly to .

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

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

Quant Data Engineer - London OR Dublin - leading trading firm - exceptional comp & bens Our world-renowned client is looking to hire a Quant Data Engineer into a varied role at the intersection of technology, data science, and quantitative research. Responsibilities As part of the Quant Engineering and Data team, you’ll sit closely with Researchers, Developers and Traders and collaborate on a range of technology projects including: • Research enablement work related to trading activities, using a range of data science, analysis, and engineering skills., • Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration., • Partnering with researchers in the research development process, and take on coding tasks that optimise research project delivery. This role offers a unique chance to gain a deep understanding of quant trading while leveraging your technical expertise to drive results. What you'll bring • 2+ years professional experience in Python, including use of NumPy and other scientific libraries., • A passion for working with data / dataframes and solving data-related challenges. Strong Pandas experience is required., • Minimum bachelors degree in a STEM subject at a reputable academic institution., • A desire to work closely with Researchers and accelerate their research., • The ability to self-manage, self-motivate, and seek process improvement opportunities., • Strong interpersonal and communication skills that enable you to collaborate effectively., • Attention to detail and ability to react to changing priorities., • Experience working in a Linux environment. Why Join? • Exceptional compensation and benefits on offer with world class office settings, • Partner with world-class researchers, traders and technologists, seeing tangible results from your work., • Attractive relocation packages for the successful applicant + family, • Grow your career in a dynamic and supportive environment., • Annual remote working allowance. Vertex Search is acting as a recruitment agency on this requirement.

Job Title: Junior ML Engineer (AI Safety and Security Research) Salary: £45,000 per annum Location: London, UK Type: Full-Time, Permanent Work Model: Hybrid (Minimum 2 days a week in the office) About Us: Advai are at the leading edge of AI innovation, focusing on AI testing and evaluation to help our customers deploy safe and secure AI with confidence. Our mission is to enable AI deployment across government and the economy, to unlock AI’s transformational benefits. As we expand our platform with more automated tooling, we seek a motivated AI Engineer to join our dynamic team in London. Role Overview: We are seeking an AI Engineer to deploy and maintain both foundation models (LLMs) and traditional ML systems to support features in Advai’s LLM testing and evaluation platform. Ultimately, you will help build cutting-edge automation into our platform, enabling our customers to achieve scalable confidence in their own AI deployments. You’ll work across the ML lifecycle, deploying both LLMs and traditional models within production software. You will build and test AI models and APIs, applying your statistical and scientific expertise to design rigorous automation and contribute to and research projects. The ideal candidate combines technical skills in Python, API design, and cloud-based ML deployment with strong software engineering discipline and a collaborative, proactive mindset. Must be able to apply for UK Security Clearance: Key Responsibilities: · Deploy both LLMs and classic ML models (e.g. classifiers, detectors) as integrated components within production software. · Develop and document robust APIs for serving and integrating ML models and AI agents. · Apply software engineering and deployment practices as needed (e.g., CI/CD, containerisation, orchestration, data pipelines) to support robust and scalable ML delivery. · Collaborate with research scientists to productionise experimental AI models and integrate them into the company’s tooling and platform. · Work effectively within Agile teams, contributing to sprint planning, delivery, and continuous improvement. · Stay up to date with emerging ML frameworks, LLM/agent tools, and deployment strategies, and help evolve internal practices accordingly. · You’ll work across cloud environments as needed, with a strong emphasis on AWS, which underpins much of our ML infrastructure and workflows. Requirements: · Bachelor’s or Master’s degree in Data Science, Machine Learning, Statistics, or a related quantitative discipline. · Strong proficiency in Python for data science and machine learning application · Proven experience in AI engineering - designing, building, and scaling ML systems in production environments. · Experience training or applying machine learning models (LLMs or predictive models), with a strong grounding in scientific and statistical methodology. · Familiarity with LangChain, PydanticAI, AutoGen, or similar frameworks for building LLM agents and pipelines. · Software engineering experience, including collaborative development (Git/GitHub), deployment tooling (e.g., Docker, Kubernetes, CI/CD), and good practices in testing, documentation, and maintainability. · Experience working with AWS or other major cloud platforms. · Strong analytical and problem-solving skills with a proactive and innovative approach. · Effective communicator who thrives in a collaborative, hybrid team environment. Benefits: · Flexible working hours with a hybrid model, blending in-office collaboration in London with the flexibility of remote work. · Private health and cycle to work scheme. · Opportunities for professional development in the rapidly evolving field of AI. · A dynamic and exciting work environment focused on enabling other organisations to deploy AI with confidence. How to Apply: Interested candidates are invited to submit their CV, a cover letter, and (optionally) links to project examples to . We are committed to fostering a diverse and inclusive workplace. We strongly encourage qualified candidates from all backgrounds to apply. Application Deadline: Join our journey to help our customers deploy AI that is safe and secure. Propel your career forward with us in London!

Senior Python Quantitative Developer sought to join a multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield central Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across all Funds and Investment teams. Our client is an early Quantitative Investment Boutique focusing on Scientific Investing and new ideas. They also boast a rare and enviable culture focusing on collaboration and communication, with no siloes whatsoever, and industry-leading tenure. The firm totals around 150 staff, all of whom are office-based three or more days per week. This is a more technical Senior QD role which will involve collaborating with Quantitative Researchers and Portfolio Managers to design and implement scalable solutions, addressing complex business needs. Primarily, you will be charged with delivering and maintaining critical components of the investment infrastructure, including the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks utilized by diverse Investment teams. Essential Skills & Experience: • Excellent Python skills, as per 5+ years of professional experience in a technically and/or scientifically complex and competitive environment, especially in Financial Markets., • Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices., • Knowledge of SQL for database management and query optimization., • Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: • Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic Trading, • Experience in developing financial Backtesting systems for Quantitative Strategies., • PhD/MSc level education in a numerate discipline from a top institution., • MATLAB experience highly desirable. This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.

🚀 Quantitative Developer – ETF Market Maker | London I’m currently partnering with a leading ETF Market Maker in London that’s looking to bring on a Quantitative Developer to join their growing team. This is a rare opportunity to work alongside expert traders and software engineers in a high-impact environment, developing cutting-edge technology that powers intelligent algorithmic trading, delivers tight spreads, and builds a reliable market presence across global exchanges. 💡 About the Team The team is driven by curiosity, collaboration, and a passion for advancing the state of the art in algorithmic trading. They value bright, kind, and motivated individuals who enjoy solving complex problems and thrive in fast-moving, intellectually stimulating environments. 💻 What You’ll Do You’ll design and implement robust software solutions, collaborate on system architecture, and play a key role in building scalable trading infrastructure. Beyond coding, you’ll contribute to strategic decisions, peer reviews, and collaborative problem-solving with your teammates. 🧠 What They’re Looking For • 3–5 years of experience in Java or Python (C++ is a plus), • Familiarity with SQL Server or Postgres, • Experience with AWS, GCP, or Azure, • Proficiency in Git and modern development workflows, • A genuine curiosity for solving challenging problems, • Strong communication and teamwork skills ✨ If you’re passionate about algorithmic trading, love to build, and want to work in a collaborative, innovation-driven environment — this could be the perfect fit. 📩 Feel free to reach out or send over your resume — happy to share more and explore if this could be a great match!

Manage and deliver rigorous quantitative economic and policy research on UK cities according to the Centre’s priorities. Contribute to the Centre’s policy development and provide the team with expertise and thought leadership on a particular policy area (to be defined). Represent the Centre’s

Software Engineer - Python/C++ - Up to £140,000 Base Salary - 2 years experience + One of the most successful and profitable systematic trading firms are looking for the next generation of talented engineers to invest in. You would get the opportunity to work side by side with some of the most gifted and knowledgable teams across London. You'll get the opportunity to build distributed, low-latency, high performance systems with reliable and scalable back-ends which are powering critical trading operations. You will be driving the design and implementation of trading frameworks, market data solutions and global market connectivity. As well as massively parallel, high-volume distributed applications to enable the technology to scale concurrently with company growth. Required Qualifications/skills: • Degree in Computer Science or related field., • 3+ years commercial experience in a relevant role such as software or quantitative engineering., • Strong programming skills in either Python or Java., • In depth understanding of Complexity Theory, Data Structures and Algorithm design. Benefits: • Top of the market compensation package. Uncapped bonuses., • Private Health Care, • 25 days annual leave, • Pension contribution, • Training budget allocation, • Free Lunch and snacks in the office., • And many more!

Role: Junior Systems Specialist Location: Hybrid (London) Salary: Competitive + Bonus + Exceptional Benefits Our client is a leading quantitative and systematic investment firm managing billions in assets globally, with offices in New York, London, Singapore, and beyond. As they continue to scale their infrastructure, they are seeking a Junior Systems Specialist to support the backbone of their compute and storage platforms. This is a hands-on, growth-focused opportunity within a highly technical environment, perfect for someone early in their infrastructure career looking to develop in a world-class engineering team. As a Junior Systems Specialist, you’ll: • Help manage and scale distributed compute and petabyte-scale storage systems, • Install, manage, and monitor Linux (RHEL-based) environments, • Troubleshoot hardware and software issues across the full stack, • Build tools and automation scripts using Python, or Bash, • Work closely with engineering teams and vendors to resolve infrastructure issues The ideal candidate will have: • Up to 4 years of experience in a Linux systems/infrastructure engineering role, • Strong scripting skills in Python, Bash, or Ruby, • Familiarity with configuration management tools (Ansible, Puppet, or Chef), • Interest or exposure to observability tools like Datadog, Prometheus, or Grafana, • A passion for learning and improving in high-performance environments This is a rare chance to learn from elite engineers and contribute directly to a platform supporting global trading systems at scale. If you’re a technically curious systems engineer ready to grow in a fast-paced financial tech environment, apply now!

A leading hedge fund company is looking for an ambitious Python quantitative developer to join their London office. You'll collaborate closely with Quant Researchers, tackling diverse tasks such as implementing trading strategies, building research frameworks, prototyping data feeds, developing portfolio techniques, and creating risk analysis tools. Requirements • Bachelors or higher in computer science or equivalent, • Strong Python knowledge, • Strong interest and knowledge of financial markets and instruments, • Experience in data analysis techniques and libraries like NumPy, SciPy, and Pandas, • Solid understanding of mathematics, including statistics, asset pricing theory, and optimization algorithms

My client is a top-tier global quantitative and systematic investment manager, applying a technology- and data-driven approach to solve some of the most complex challenges in financial markets. By combining expertise in research, engineering, and trading, they foster a culture of innovation that drives consistent, high-quality returns for investors. They are seeking a pragmatic and commercially focused Site Reliability Engineer (SRE) to join their team. In this role, you will be pivotal in ensuring the reliability, scalability, and performance of the systems that underpin world-class trading strategies. The Role • Design and maintain scalable, reliable systems supporting front-line trading activity., • Monitor and troubleshoot performance issues, ensuring high system availability., • Partner with developers to enhance reliability, performance, and scalability., • Build automation tools to streamline operations and improve efficiency., • Ensure systems meet stringent security and compliance standards., • Provide technical support and guidance across teams. Requirements • Proven experience in Site Reliability Engineering or a similar role., • Strong knowledge of system architecture and cloud platforms., • Proficiency in at least one programming language (Python, C++, or C#)., • Familiarity with monitoring, observability, and logging tools., • Excellent problem-solving skills with strong attention to detail., • Commercial mindset with a focus on business impact., • Finance industry experience is a plus, but not essential.

[Up to c. £200k Comp Package | Hybrid Working - 4 Days in Office] Role Overview We’re supporting a world-leading quantitative trading firm in the search for an Experienced Software Developer/Engineer to join their OTC technology group in London. This team designs and develops high-performance trading platforms that span both OTC liquidity provision and on-venue execution, covering asset classes such as equities, FX, and crypto. Operating within a highly autonomous environment, the team works closely with quants, risk and compliance stakeholders, and trading analysts to transform requirements into production-grade systems. With a focus on safety, performance, and velocity, this is a chance to contribute to the design of mission-critical infrastructure with a small, experienced group of engineers where impact is immediate and highly visible... Key Responsibilities • Design, build, and maintain OTC trading systems spanning pricing, risk controls, venue connectivity, and algorithmic execution, • Translate business, model, and control requirements into performant, scalable code with an emphasis on correctness and reliability, • Work closely with quants, analysts, and compliance stakeholders to refine system requirements and deliver production-ready solutions, • Implement and optimise low-latency infrastructure, including network stack integration, thread-per-core architectures, and performance tuning, • Contribute to team-wide design discussions, code reviews, and continuous improvement initiatives, • Take ownership of projects across the full development lifecycle, from architecture through deployment and monitoring What You’ll Bring... • 4+ years hands-on experience building distributed or performance-sensitive systems, ideally with microsecond-level latency or high-throughput requirements, • Proven coding ability in Kotlin, or another object-oriented language such as Java (preferred), C++ or C#, • Familiarity with Linux APIs and comfort developing in a Linux-based environment, • Strong computer science fundamentals with several years’ experience in professional software development, • Experience applying modern testing approaches to ensure robustness and safety of critical systems, • Collaborative and pragmatic approach to code reviews, focusing on correctness and clarity, • Curiosity about financial markets; prior trading experience is preferred ...

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end-to-end delivery from initial design through to operational support in production. Requirements • 5+ years working as a Data Engineer with 2+ years in Financial Markets, especially in a Hedge Fund, Trading Firm, and/or working with Quant Trading Technology., • Expertise in Python, including popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy., • Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift)., • Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset….), • SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile practices., • Passionate about code quality, data integrity, and building scalable and robust systems., • Ability to communicate clearly with technical and non-technical colleagues. This hire has been budgeted at a salary of £130K, plus excellent benefits and company pension contributions, along with a healthy annual bonus and an opportunity to participate in their Management Incentive Scheme. Applicants must be able to work onsite in Central London 3 or more days per week. This is an incredible opportunity to join a world-class firm and to forge a long-term career in a genuinely supportive and learning-focused working environment. Please apply below or contact for more information.

C++ Engineer (GPU and Compute Architect focus) - HFT On behalf of a leading HFT firm, we are supporting the formation of a specialised performance engineering team focused on optimising the most compute-intensive R&D workloads. This role sits at the intersection of systems architecture, software engineering, and quantitative research, with a mandate to push the boundaries of throughput, latency, and resource efficiency across heterogeneous compute environments. This is an ideal opportunity for engineers with a background in GPU architecture, HPC systems, or semiconductor performance tuning to apply their expertise in one of the most latency-sensitive domains in tech. Core Responsibilities • Architect and optimise distributed compute pipelines across CPU/GPU, memory, storage, and interconnects, • Profile and tune performance of AI/ML, simulation, and research workloads across containerised environments, • Collaborate with Software and Infra teams to identify architectural bottlenecks and implement low-level improvements, • Evaluate and integrate HPC technologies to support scale-out and latency-sensitive workloads Required Skills • 3 - 10 years of professional proficiency in Python and C++, • Hands-on experience with GPU compute, • Familiarity with HPC storage stacks and RDMA/networking frameworks, • Background in semiconductor performance engineering (e.g., microarchitecture-level tuning, driver/kernel optimisation) If you've worked on optimising GPU compute/HPC systems and want to apply that expertise in one of the most demanding and intellectually rigorous environments in finance, please apply.

Software Engineer / Quantitative Developer - Systematic Hedge Fund (London) Our client, a leading systematic hedge fund, is seeking a talented Software Engineer / Quantitative Developer to join their London-based risk team. This role focuses on developing and maintaining tools that support risk analysis and reporting across the trading business. You'll work closely with Risk Managers, Traders, and Researchers across multiple asset classes to ensure a robust, scalable risk infrastructure. You'll play a key role in enhancing the firm's fixed income capabilities by translating product-specific requirements into reliable, automated software systems. The role also involves building tools to process and analyse large volumes of market and trade data across bonds, swaps, futures, and options. Key Responsibilities • Design and implement software solutions to support core risk and PnL systems, • Collaborate with fixed income risk managers, traders, and researchers to gather requirements and deliver tailored solutions, • Develop analytics and reporting frameworks to compute, aggregate, and visualise risk metrics, • Build tools to process and analyse large-scale market and trade data across fixed income instruments, • Ensure the robustness and scalability of the fixed income risk infrastructure Requirements • 5+ years of professional software development experience, • Strong programming skills in Python, • Deep understanding of fixed income products: bonds, swaps, futures, options, and related derivatives, • Proven ability to translate trading and risk requirements into technical solutions, • Experience building or enhancing risk systems in a front-office or middle-office environment, • Familiarity with databases, APIs, and microservices architecture, • Exposure to cloud platforms and large-scale data processing is a plus

A leading proprietary trading firm is seeking an experienced Head of Trading to lead and expand its global crypto trading operations. This is a senior leadership role with full ownership of trading strategy, execution, and risk management, offering the opportunity to shape the firm’s crypto trading vision and scale a high-performance team in a fast-moving market. Responsibilities: • Oversee and grow the firm’s spot, derivatives, and structured product trading across centralized and decentralized venues., • Lead the design and execution of systematic and discretionary trading strategies, ensuring strong risk-adjusted performance., • Manage daily trading operations, including capital allocation, risk oversight, and execution quality., • Collaborate closely with quantitative research, technology, and data teams to enhance trading systems, analytics, and automation., • Build and maintain key relationships with exchanges, liquidity providers, and counterparties., • Recruit, mentor, and manage a team of traders and researchers, fostering a high-performance and collaborative culture. Requirements: • 10+ years of trading experience, with a proven track record in crypto or digital asset markets., • Strong understanding of market microstructure, liquidity, and execution dynamics across centralized and decentralized exchanges., • Demonstrated success managing trading PnL and scaling profitable strategies., • Experience leading teams and building trading desks within a proprietary or hedge fund environment., • Technical fluency and ability to work closely with quant and engineering teams., • Excellent leadership, communication, and decision-making skills.

Quantitative Developer - London/Remote 40+ leading quant firms seeking top-tier developers. Multiple immediate openings. What you'll do: • Build low-latency trading systems and infrastructure, • Develop quantitative libraries and research platforms, • Optimize execution algorithms and risk systems Requirements: • 2+ years quant dev or HFT experience, • Expert C++/Python skills, • Financial markets and trading systems knowledge Our network: Pay: $180K-$2M+ based on experience Locations: London, Remote Focus: Ultra-low latency, systematic platforms, research infrastructure From prop trading tech to systematic fund platforms. Ready to build the future of trading? Apply now for confidential discussions.

Job: Senior eFX Java Developer - Low Latency London, UK Hybrid working – 3 days on-site Full Time Overview • This is a high-profile role working on the eFX Algo IT team. The team develops the pricing, hedging and low latency order and price distribution team systems for the eFX desk., • The team consists of Java and C# developers, developing server-side and UI components, respectively., • This role is specifically a low-latency Java role, encompassing pricing work, hedging work, market connectivity work and associated services around that., • It is a hands-on development role. As a team member, you would also be expected to contribute towards estimation and the ability to work with functions such as Business Analysts, Project Managers and successfully engage with QA both to plan tests and execute them is crucial. As a trading technology-focused role, an awareness of compliance issues and a willingness work within Credit Agricole's compliance culture is a base level requirement., • Knowledge of FX or similar low latency trading systems is required., • A high technical development ability in Java is also required. Familiarity with at least one delivery technique such as Agile, SCRUM, Kanban and similar would be a strong advantage., • The position will also require a production stability-focused ethos and the ability to work to that goal with multiple teams, including liaising with support teams on both the infrastructure and the operational side. Ideal attributes • Clear communication & systematic reasoning., • Deep experience with Java working in a similar environment., • FIX and other market protocols, • Have front office knowledge of the FX business or quantitative finance., • UNIX OS knowledge., • Knowledge about software delivery process and methodologies. Key responsibilities • Work within the eFX Algo team by taking requirements and developing user analytics and solutions to aid pricing/trading algorithms and ultimately P&L., • Prototype solutions in a fast, agile manner with numerous demands from both Front Office and IT teams., • Be comfortable performing analysis in a high frequency low latency environment., • Participate in the development of all aspects of product delivery including design documents, functional specifications, unit testing and component build., • Provide technical assistance and 3rd line support to internal Production Support teams., • Participation on software releases which may be performed out of hours/weekends., • Participate in sprint planning and estimation and provide regular status updates to project managers. Essential experience and skill set required • JAVA: Multithreading, Low latency & Garbage collection-aware techniques., • Performance monitoring including designing appropriate metrics, • Front Office facing experience, • High-level of technical ability., • Experience of development methodologies such as Agile etc., • Clear communication abilities able to liaise with both IT and desk stakeholders., • Linux., • Designing and building real-time mission critical applications and message bus technology., • Machine sympathy., • Solace Networking: 10GbE, multicast, Wireshark packet analysis., • Expertise in FX ECNs, dynamic spreading/rounding, spot and forward pricing algorithms and FIX engines/APIs., • FX financial knowledge., • FX Options knowledge advantageous., • Knowledge of FIX interfaces and FIX packages. WHO WE ARE Quanteam Group is a Consulting firm specialized in the Capital Markets industry, in Paris, London, Krakow, Brussels, New York and North Africa. Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation. The firm mainly takes part in: • Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. Basel III, Solvency II, FATCA, EMIR, MiFID), Pricing & Valuation, Organizational Transformation & Process Improvement., • IT & Information systems consulting: Business Analysis, Project Management, Change management, Front Office Support (functional and technical), Development (e.g C++, Python, C#, Java, VBA), Financial Software (e.g. Sophis, Murex, Summit, Calypso), IT Transformation & Innovation. As part of Quanteam Group, Quanteam UK & PL has today more than 80 consultants, working for major Capital Markets institutions in London and Krakow.

AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models (LLMs) to build novel solutions across multiple modalities. Now in our second year, we have ambitious growth plans and are searching for the best and brightest minds from across tech and finance to help us achieve our aim. Senior Research Engineer We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly desirable. The successful candidate will collaborate with team members to advance our AI capabilities. Responsibilities • Design, develop, implement, and train very large AI models, with a focus on LLMs., • Conduct original research in deep learning, particularly in areas relevant to LLMs, exploring novel architectures, training processes, and applications within the financial domain., • Collaborate with portfolio managers, quants, traders, and engineers to understand business needs and translate them into effective AI/ML solutions., • Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models., • Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team., • Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation., • Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is preferred., • Minimum five years of experience in AI research or engineering, with a demonstrable focus on deep learning and LLMs., • Proven track record of developing and implementing successful AI-driven solutions, ideally within the financial services industry., • Strong understanding of the mathematical foundations of deep learning, including multivariate calculus, linear algebra, and optimization techniques., • Proficient in Python and deep learning frameworks such as TensorFlow and PyTorch. Experience with CUDA kernels and GPU profiling is a plus., • Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical audiences., • Knowledge of quantitative finance, time series modeling, and trading strategies is highly desirable. Desired Skills • Experience with specific LLM architectures (e.g., Transformers, RNNs)., • Familiarity with time series analysis techniques., • Experience with cloud computing platforms (e.g., AWS, GCP, Azure)., • Strong software engineering skills and experience with version control systems (e.g., Git)., • Ability to work independently and as part of a team. While we understand the company information might be limited, we're happy to be transparent about our goals during the screening and interview process. At AGITProp, we believe AI's strength comes from the diversity of its creators. We're dedicated to building an inclusive and welcoming environment where people of all backgrounds and experiences can flourish. We know that a diverse team brings broader perspectives, more innovative solutions, and ultimately, better outcomes.

Technical Quant Developer with deep Computer Science expertise applied to Python, SDLC tooling, Linux, Docker, and SQL sought to join a Boutique Quant Hedge Fund.You will join as a more junior member, as part of a small team designing and implementing a central platform for Backtesting, Pricing, Risk and Performance, to be used across all Funds and Investment teams. Finance experience is not an essential criterion. This new, core team collaborate with Quantitative Researchers and Portfolio Managers to design and implement scalable solutions, addressing complex business needs, in particular delivering and maintaining critical components of the Investment Infrastructure, such as the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks, to be used by diverse Investment teams as part of their daily work. The platform is pure Python, with SQL, on Linux and Docker platform. Python is the primarily required skill, however mastery of Linux/Docker environments and SDLC tooling such as GitLab CI/CD would be extremely highly regarded. In return for your Computer Science and Engineer nous, full training on the Quantitative Finance, Hedge Funds and Systematic Investing will be provided. Essential Skills & Experience: • Undergraduate degree in Computer Science, Computing, Software Engineering or similar with top grades from a reputable institution. MSc or possibly PhD level academics in said subject(s) preferred., • Strong Python skills, as per 3+ years of professional experience in a technically and/or scientifically complex and competitive environment., • Proficiency in Linux and Docker including system administration and containerization for deployment and scaling., • Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices., • Knowledge of SQL for database management and query optimization. This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.

Major Activities / Tasks I. Monitor manufacturing of batches hence ensuring overall manufacturing compliance • Drive processes as per the requirements specified in the national laws of the country or EU, • Requirements of Marketing authorization II. Schedule and manage overall specifications as described in the guidelines of each batch imported to the community. • Drive and monitor quantitative and qualitative analysis of products imported from outside the EU in accordance with the requirements of the Marketing Authorization Quantitative • Review and evaluate the release of necessary certificates as per EU guidelines, • Plan, implement and track release of necessary amount of reference stored samples stored for each batch of products, • Monitor validations of manufacturing and quality control testing processes, • Helping resolve the product issues for UK/EU market, by working with cross functional teams both IH & IL products III. Implement and maintain Registers or equivalent document of overall operations. • Implement and track certifications in register or equivalent for product release or sale in EU market, • Maintain records such as Quality Management Review, Annual Product Review reports, relevant deviations, CAPA’s, Risk Assessments, change controls, Self- Inspections etc. • Evaluate the validations of necessary Quality agreements with third parties as per GMP compliances IV. Drive, monitor and control Quality system of the company in compliance with regulations and company legal framework • Drive as single point of contact for quality and compliance questions, issues and product recalls, • Monitor, control, resolve and track all applicable Corporate Quality and Compliance Policies, procedures and requirements are implemented and specific local requirements are met, • Plan, drive and track all affected employees for necessary guidelines/SOP trainings and verifying efficiency from time to time, • Driving clear SOPs, for Quality activity for UK/Europe – with current guidelines. V. Review, evaluate and guide management on manufacturing and other factors that impede or effect products and patients’ health • Abreast with the developments happening in effected legal and regulatory environments of company and EU, • Plan, track and present issues, concerns, developments on-time to management for necessary corrective and preventive actions, • Support EURA to liaise with MHRA for Mfg. lines and product approvals. VI. Will act as QP (Qualified Person) for Cipla EU Limited post QP application approval • Will act as QP (Qualified Person) for Cipla EU Limited post QP application Key Skills & Qualifications Regulatory Knowledge: A deep understanding of pharmaceutical regulations and evolving guidelines. Technical Expertise: A solid foundation in pharmaceutical manufacturing, quality control, and quality assurance. Experience: Extensive practical experience at least for 5 years in the pharmaceutical industry as QP. Problem-Solving: Strong ability to identify, investigate, and resolve quality-related problems. Communication: Effective communication skills to collaborate with various departments, business partners, and regulatory bodies. Legal Responsibility: A commitment to taking on the significant legal responsibilities associated with batch certification and quality oversight. Qualification - Bachelor / Masters in Science or Pharmaceutical Reporting to – Quality Leadership Group at UK Job Location - Cipla (EU) Limited, 3rd floor, 364-366 Kensington High Street, London, W14 8NS, United Kingdom

Data Scientist – Hedge Fund (New launch long/short equity) A newly launched long/short hedge fund specialising in the global Industrials sector is seeking a Data Scientist to help shape its data-driven investment strategy. The firm combines fundamental research with advanced data science, building scalable infrastructure where insights directly influence portfolio performance. The Role The Data Scientist will originate and analyse novel datasets, build predictive models, and deliver insights that drive investment decisions. The position involves working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements • Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills, • Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal), • Proficiency with BI tools (Tableau or similar), • 2–6 years’ relevant experience and a strong quantitative background, • Ability to source and structure new datasets and collaborate across disciplines Opportunity This role offers the chance to make an immediate impact on investment decisions, collaborate with an experienced investment and technology team, and push the boundaries of data-driven investing. As the firm grows, the Data Scientist will have the opportunity to shape and expand its data science capability.

DeFi Automation Engineer Location: London, UK or UAE on site Visa Sponsorship: Available for qualified candidates About the Role: We are seeking a highly skilled and innovative DeFi Automation Engineer to join our client fast growing team. In this role, you will be at the forefront of the decentralized finance revolution, responsible for integrating and automating interactions with a wide array of on-chain protocols. Your work will be critical in developing robust, systematic, and scalable solutions that drive our core operations. This is a unique opportunity for a candidate with a strong blend of smart contract expertise and traditional software engineering skills to build the next generation of DeFi infrastructure. Key Responsibilities: • Systematically integrate with various DeFi protocols (e.g., DEXs, lending markets, yield farms) across multiple blockchain networks., • Design, develop, and maintain automated systems for on-chain operations, including trading, liquidity management, and asset custody., • Write, test, and deploy smart contracts; proficiency beyond Solidity is highly valued., • Develop and maintain off-chain automation bots, data pipelines, and monitoring tools using languages like Python or Java., • Collaborate with the quant and trading teams to translate strategies into reliable, automated code., • Conduct code reviews and contribute to the overall security and robustness of our systems., • Stay abreast of the latest developments in the DeFi ecosystem, including new protocols, security vulnerabilities, and best practices. Ideal Candidate Profile: • Proven experience in a similar role within the DeFi space, ideally from:, • DeFi Funds or Algorithmic Trading Firms, • Leading DeFi Protocols, • DeFi Custody or Infrastructure Providers Required Skills & Qualifications: • Strong experience in smart contract development with Solidity. Proficiency in other smart contract languages (e.g., Rust for Solana, Vyper) is a significant plus., • Solid foundation in general-purpose programming languages such as Python or Java., • Demonstrable experience in systematically integrating with on-chain DeFi protocols., • A deep understanding of the DeFi landscape, including MEV, gas optimization, and blockchain data structures., • Familiarity with Web3 libraries (e.g., web3.py, ethers.js) and interacting with blockchain nodes. Bonus Qualifications (Highly Desirable): • Experience in on-chain auditing or security review of smart contracts., • Knowledge of cryptographic primitives used in blockchain., • Experience in a fast-paced, quantitative trading or systematic finance environment., • Contributions to open-source DeFi projects or a public portfolio of smart contracts.

C++ Engineer – Core Trading Systems This role offers the opportunity to work on systems where nanoseconds matter, reliability is critical, and engineering excellence directly drives performance in global markets. The organisation is a leading quantitative investment firm powered by research, technology, and data. Independent investment teams operate on a shared foundation: a proprietary, state-of-the-art trading platform. The Core Technology Team is responsible for building and optimising this platform, which serves as the central nervous system of the firm’s trading operations. The C++ Engineer will work on a small team of world-class engineers, owning problems end-to-end and deploying solutions with immediate firmwide impact. The scope includes both greenfield development and scaling of existing systems, with exposure to every part of the business, from trading and research to operations and risk. Responsibilities: • Design and optimise critical components of the trading platform, including exchange and broker connectivity, order management, feed handlers, deployment pipelines, and monitoring systems., • Push the boundaries of modern C++ for low-latency optimisation, template metaprogramming, lock-free concurrency, and high-throughput networking., • Collaborate closely with traders, researchers, and operations staff to translate requirements into high-impact features., • Lead new initiatives while enhancing and scaling production systems., • Take ownership across the full development lifecycle, including architecture, implementation, deployment, and participation in on-call rotations. Candidate Profile: • Expertise in modern C++ (C++17/20), with deep understanding of performance-critical programming and memory management., • Strong computer science fundamentals, including algorithms, data structures, concurrency, operating systems, and networking., • Experience with distributed systems, low-latency environments, or other high-performance domains (finance background not required)., • Familiarity with Python is a plus., • Intellectual curiosity, attention to detail, and a relentless drive for performance and reliability. Value Proposition: • Immediate impact: contributions go directly into production and affect live trading., • Small, focused team: close collaboration with senior engineers in a non-bureaucratic environment., • Technical frontier: solving problems with no textbook answers and pushing the limits of C++ and systems engineering., • Uncapped reward: compensation reflects talent and direct impact on firm performance., • Global reach: opportunity to build infrastructure that powers trading across markets and asset classes worldwide. Pre-Application: • Please do not apply if you're looking for a contract or remote work., • You must be eligible to live and work in the UK, without requiring sponsorship., • Please ensure you meet the required experience section prior to applying., • Allow 1-5 working days for a response to any job enquiry., • Your application is subject to our privacy policy, found here: ___, • Your application is subject to our privacy policy, found here: