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Salary: £200k base + bonus Summary Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for talented software developers skilled in C++ (ideally C++ 17/20) or Python. You will join the centralized trading team which provides strategy oversight, market knowledge, plus technical and analytical capabilities to the quant trading teams. You will have the ability to contribute to the HFT's pnl by tuning other trading teams' strategies. Developers here are highly valued and well-rewarded for hard work, and as a result, are some of the brightest minds from across the trading, tech and start-up industries. In this role, you will be responding to emerging economic conditions and breaking news, enabling the quant trading teams to do their absolute best work as you provide them with fine-tuned algorithmic strategies. This team performs an important research function within the firm, so you will also gain exposure to the development of new tools and performing strategy analysis in order to better understand the markets. This group sits outside of trading teams, but is pivotal to the success of the company. Long term there is the possibility to move into a trading group. The successful C++ Developer will be inquisitive and self-driven, a skilled communicator, and a technologist who has a passion for trading. Requirements • Highly analytical mind - in thinking critically, identifying patterns & decision-making, • Minimum 2+ years' programming experience - C++ and/or Python, • Ideally experience with C++ 17/20, • Self-starter, who is always looking for ways to improve the business, • High performance computing / stats or ML / computer architecture experience Benefits • Competitive base salary & bonus, • Enormous opportunity to grow, learn and have an impact, • Contributions are rewarded; career progression supported, • Free breakfast, lunch and dinner Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

The group researches, defines, and optimizes high-frequency trading strategies that leverage cutting-edge technology to improve speed and market access to improve their trades. Working closely with an experienced Quant Strategist, you can utilize your quantitative, research, analytical, and programming skills to gather, house, and analyze data to help optimize existing models. As your experience grows, you will be expected to contribute your own strategy ideas. This is an excellent opportunity to learn about multiple asset classes and high-frequency trading whilst leveraging your current computational skills. Responsibilities:- • Designing and developing systems built in C++ or Java, • Utilizing quantitative, research, analytical, and programming skills to gather, house and analyze data, • Contributing strategy ideas as experience grows In addition to a stellar academic record, you will have a track record of professional quantitative or technology achievements. Ideally, you will have some research experience either in academia or in a research lab. Experience in the financial markets is a plus but not mandatory. A process-driven approach to problem-solving. Intellectual curiosity in quantitative finance. Compensation: £ Base + benefits

Are you curious about high frequency trading, crypto currencies / blockchain and decentralized finance? Does the idea of developing your own product: trading algorithms and trading applications excite you? Do you want to work and be mentored by some of the most experienced traders and developers within this space? This role could be perfect for you. All greenfield work, your focus will be building out an automated trade reconciliation system, working closely with the Lead Core Developer, CTO, Middle Office Lead and traders. Linux-based, the solution will be built in Python and be able to 'talk to' C++ stack. If you have a keen interest in financial and crypto markets, apply now! Personal Profile Required • Must have previous financial / trading experience, • A VERY STRONG understanding of Python - you will be heavily tested within the process so applications will only be considered that exhibit exceptional ability to write Python, • Experience of Python 3 (could be academic or personal projects) and having experience with C++ as a secondary language is an advantage, • Experience building/upgrading and using SQL-based databases, • Familiarity with Linux, on desktops and servers, • Excellent programming and fundamental skills. Benefits: • VERY competitive compensation packages, • Autonomy and coaching unmatched within the industry, • No red tape or multiple levels of approval - Up to you to make an impact!, • Visa Tier-2 sponsorship offered Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

The Role: • Conduct end-to-end systematic volatility research , from alpha signal generation to execution optimization., • Develop, backtest, and refine volatility-based trading strategies across asset classes., • Work closely with traders and PMs to optimize execution and post-trade performance., • Utilize advanced quantitative techniques and statistical models to enhance trading efficiency., • Prior experience in volatility research within a hedge fund, proprietary trading firm, or systematic trading desk., • Hands-on systematic research expertise in volatility markets—this is a pure quant role., • Strong programming skills (Python, C++, or similar) for research, modeling, and execution analytics., • London-based or willing to relocate.

$250k-400k USD Onsite WORKING Location: London, UK , New York, New York - United States Type: Permanent Credit Algo / E-Trading Quant - Assoc/VP Locations: London & New York Team: Credit Quantitative Research - Cash Credit Our client is growing its Credit Algo/E-Trading Quantitative Research team and is hiring in both London (Associate-Junior VP) and New York (VP). The team supports the Cash Credit business, working across corporate bonds, bond portfolios, and fixed income ETFs with direct exposure to both systematic (algo) and high-touch trading. These are highly hands-on roles where you will work closely with traders and quants, taking projects from research through to production, while gaining deep insight into credit market microstructure. The London position is ideal for strong quants with 2-5 years' experience looking to grow their expertise, while the New York position is aimed at candidates with 5+ years' experience who can take on leadership responsibilities and drive projects forward. What You'll Do • Develop and enhance signals research and bid models to support electronic market-making., • Work on portfolio pricing and ETF trading projects (primary and secondary markets)., • Collaborate with traders to optimize inventory management, systematic trading, and liquidity., • Design, implement, and productionize models end-to-end, ensuring robustness and explainability., • Explore and integrate advanced statistical and machine learning techniques, with opportunities to experiment with innovative approaches., • In the New York role: provide leadership in connecting AI/ML research to business application, ensuring scalability and long-term impact.What They're Looking For, • STEM degree (Mathematics, Physics, Engineering, Computer Science, etc.)., • Hands-on experience in algo trading and ideally market-making., • Strong programming skills in Python (Java a plus)., • Experience in statistical learning, data analysis, and/or ML techniques., • Proven ability to build models from scratch, not just adapt existing frameworks., • Knowledge of credit or fixed income products (corporate bonds, CDS, ETFs) strongly preferred; FX or other systematic backgrounds also considered., • Strong communication skills, collaborative mindset, and the ability to work independently., • For the VP role (New York): minimum 5 years' experience, with leadership capability and track record of delivering quant models into production.Why Join?, • Work on a diverse range of projects across bonds, portfolios, and ETFs., • Direct interaction with traders and exposure to real market structure., • A culture that values rigorous research and explainable modeling over pure P&L focus., • Opportunity to take projects end-to-end, from initial research to live trading systems., • Access to cutting-edge technology, with openness to innovative approaches (including LLMs and advanced ML methods)., • Join a globally respected Credit Algo/E-Trading Quant team with strong career progression.Apply now to join a top-tier global platform in electronic credit trading and play a key role in the evolution of systematic market making!

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

£Up to £350,000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Quantitative Analyst - Energy (Power & Gas Focus) A leading financial institution is expanding its European commodities division and is seeking a Quantitative Analyst to join its Power & Gas trading team. While the role is primarily focused on power and gas, candidates with strong experience across other physical energy markets (LNG, oil, coal, renewables) will also be considered. Physical market knowledge is essential. Key Responsibilities: • Develop and enhance quantitative models to support the trading of physical energy products, with a particular focus on power and gas., • Build and maintain tools to optimize physical trading strategies, asset-backed arbitrage, and cross-border opportunities., • Support traders by providing quantitative insights into exposures, hedging strategies, and physical optionality., • Improve and scale existing models and risk infrastructure to capture the complexities of physical positions, including storage, transportation, and capacity., • Ensure robustness and reliability of analytics in live market conditions., • Document methodologies and communicate model assumptions across trading, risk, and technology teams.Requirements:, • Proven experience in physical energy markets (power, gas, LNG, oil, coal, or renewables)., • Strong academic background in a quantitative discipline (Mathematics, Physics, Engineering, or similar at MS/PhD level)., • Experience developing and implementing quantitative models for trading and risk management., • Previous front-office exposure, working closely with physical traders., • Knowledge of derivatives pricing and hedging strategies in the context of physical positions and asset-backed trading., • Strong programming ability in Python and/or C++, with a track record of delivering production-level tools.

We are recruiting for 2 International Tax Compliance Manager roles for a highly-successful global hedge fund. Their London office is growing and are thus adding to their Tax team, which oversees global tax compliance for a diverse range of entities, including hedge funds, private equity funds, venture capital funds, management companies, high-net-worth individuals, and tax-exempt organizations. The team conducts tax research, manage complex tax-related projects, and collaborate with external counsel and public accounting firms, as well as internal teams across the firm. With a focus on continuous improvement, the learning opportunities within the firm’s Tax team are virtually unlimited as they navigate a complex tax structure across multiple business lines. This role covers all aspects of non-U.S. tax return compliance, tax provisions, planning, and automation. The successful candidate will collaborate closely with the Tax team and Finance and Accounting teams based in the U.S. and across our global offices. In this role, you will manage and gain broad exposure to various markets and the tax issues impacting each. Specifically, you will: * • Review various tax workpapers and tax returns, with a primary focus on non-U.S. management company tax compliance for offices in APAC, EMEA, and North America regions., • Collaborate with the firm’s accounting team and external tax compliance service providers to compute income tax provisions and deferred tax calculations for all non-U.S. management companies in these jurisdictions., • Manage the firm’s transfer pricing, country-by-country, and Pillar II filings, including information gathering and reviewing annual transfer pricing documentation., • Work with Tax Technology and Corporate Accounting teams to develop automation and process improvement initiatives for non-U.S. tax provisions and returns., • Assist with audits conducted by tax authorities in the above jurisdictions., • Provide supporting tax expense information to the U.S. tax team for U.S. information return filings related to non-U.S. operations, including Forms 8865, 8858, and 5471., • Assist Vendor Accounting Operations with indirect tax inquiries (e.g., GST, withholding tax) in non-U.S. jurisdictions., • Support the Payroll team with global mobility inquiries related to permanent establishment (PE) exposure for management companies and investment funds., • A minimum of 7 years (the more the better) of work experience in international taxation, ideally with a focus on global operating companies., • Experience at a large public accounting firm preferred., • Expertise in income tax return compliance in one or more countries, including Australia, Canada, China, France, Hong Kong, India, Japan, Poland, Singapore, Taiwan, and the UK., • Bachelor’s degree in Accounting; a graduate degree in Tax is a plus., • CPA, CA, ACCA, CIMA or equivalent certification., • Strong project and time management skills., • Excellent oral and written communication skills., • Proficiency in Microsoft Excel; VBA and other programming knowledge are a plus., • Experience with tax audits is a plus., • Exceptional organizational skills to manage shifting priorities and communicate clearly and frequently with cross-functional teams and superiors., • Superior problem-solving skills and the ability to operate autonomously in a fast-paced environment., • Self-starter with impeccable attention to detail., • Highly analytical mindset and strong work ethic., • Interest in working with technology and automation tools., • Commitment to the highest ethical standards.

What You’ll Do: • Conduct end-to-end research on systematic strategies across liquid asset classes (equities, futures, FX, or rates)., • Leverage large datasets, machine learning techniques, and advanced statistical modelling to uncover persistent sources of alpha., • Collaborate closely with other researchers, portfolio managers, and technologists in a highly integrative research culture., • 4–6 years of systematic research experience at a top collaborative hedge fund (e.g., Two Sigma, AQR, PDT, etc.)., • Deep expertise in alpha signal research, with a proven track record of contributions to production strategies., • Strong programming skills in Python (or similar), and comfort working with large, noisy datasets., • A highly analytical mindset with fluency in statistics, probability, and time-series analysis., • Join a high-conviction, low-politics team that values idea meritocracy and intellectual honesty ., • Work alongside researchers and PMs who are genuinely collaborative — not siloed or secretive., • Access deep resources and institutional-grade infrastructure to bring ideas to life quickly and at scale., • Significant upside and career growth for researchers who drive real impact.

This is a fantastic position on a commodities team that seeks to generate alpha through directional and relative value strategies across both physical and financial commodities markets. They evaluate opportunities in natural gas, power, crude, and refined products, and agriculture, primarily in North America and Europe. Using fundamental research, proprietary analytical methodologies, and quantitative analysis to drive their views, these techniques are combined with an intense focus on understanding each market they trade, reflected in the ability to generate supply and demand balances for each commodity or product. A key part of this process is their advanced technology platform: allowing for a quick and deep understanding of patterns within a market or product, leading to scenario analysis and improvements to the overall accuracy of their views. Your Opportunity • Partner with trading, research and data teams to develop core analytics and deliver key initiatives for a commodities trading business, • Understand business challenges and drive technical/quantitative solutions, • Work with large data sets and build data analytics trading tools, • Integrate data and insights into models and investment processes, • Structure scalable, maintainable solutions, improving model frameworks and performance, • Strong preference for candidates with experience in proprietary finance, high-frequency trading (HFT) and/or market-making., • Excellent technology skills. Fluent in Python or comparable language. Experience using multiple programming languages is desirable., • Experience with complex, multi-site, systems architectures, strong Unix operating system knowledge and exposure to a variety of database technologies., • Outstanding academic record. BS, MS or PhD in Computer Science/Physics; or equivalent experience., • Exposure to commodity markets would be an advantage., • Highly motivated to work in a hands-on collaborative environment. About the Company One of the world's leading alternative investment managers, they manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. For over 30 years, they've cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

You will join a small, prestigious mid-frequency systematic quant team at a highly successful proprietary trading firm. You will take ownership of the full lifecycle of creating market leading systematic trading strategies. This will consist of researching alpha signals, building state of the art machine learning models and implementation of strategies which will directly impact the desk’s PnL. You should have at least 2 years of experience working within finance, preferably in a buy side company, working on alpha research and signal generation. Experience in Machine learning modelling would be a bonus and knowledge of the global macro market would be desirable. Key Skills: • Quantitative experience in a Global Macro team, • A PhD or master’s degree in a relevant quantitative field such as maths, physics, computer science or engineering from a Russel group university or equivalent, • Proficiency in Python programming using the Machine learning stack; numpy, pandas, scikit-learn etc., • Solid analytical and problem-solving skills.

At Tradeweb, we're constantly moving forward. We were the first to electronify the bond market, and we've been innovating ever since. Come join our team and find out what it means to lead the way into the future of electronic trading. Collaborate with our creative thinkers who have the vision and the drive, and learn how you too can make an impact of your own. As an Artificial Intelligence (AI) technology intern, you won't just be along for the ride. You'll work with our technologists and business experts to gain practical, hands-on experience that you can actually use. Our program combines traditional classroom-settings with project-based work where you can get involved with the products and services the firm is working on. Along the way, you'll have guidance from people at all levels of the organization so you can start to build a long-lasting professional network and build relationships with the intern class through interactive outings and projects. You will be joining the Artificial Intelligence team where you will report to one of our AI Researchers. The AI team is responsible for pricing, liquidity and dealer selection research, building tools for our core trading system, controlling business logic and ensuring the best user experience possible. At the conclusion of your internship, you may be considered for full-time employment, to commence upon successful completion of your degree program. Internship Requirements • In your final or penultimate year of an undergraduate or Master's degree in Maths, Physics, Engineering, Computer Science or related STEM field at time of application., • A good understanding of Python, with an understanding of object-oriented programming (OOP) principles., • A good understanding of Machine Learning and AI (Deep Learning) tools., • A desire to learn and understand, you thrive when studying and mastering complex concepts., • A keen problem solver, no problem is too big for you, • Ability to take ownership of his/her work, working both independently and within a small team, • A passion for technology and research., • Strong communication skills in English both verbal and written, • Ability to work 9 weeks on-site in Tradeweb's offices from 29th June 2026 to 28th August 2026 For further information on our summer internship program please visit: About Tradeweb Markets Tradeweb Markets is a world leader in the evolution of electronic trading. A fintech company serving approximately 2,500 clients - including the world's largest banks, asset managers, hedge funds, insurance companies, wealth managers and retail clients -- in more than 65 countries across the globe. Since our first trade in 1998, we have helped transform and electronify the fixed income markets. Tradeweb is a culture built on innovation, creativity and collaboration. Through a combination of very talented and driven people, innovative products and solutions, cutting-edge technology, market data, and a vast network of clients, we continue to work together to improve the way financial markets trade. Mission Statement: Move first and never stop. Collaborate with clients to create and build solutions that drive efficiency, connectivity, and transparency in electronic trading. Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer. Private Policy Statement Link:

Role:- • Managing all aspects of the research process, including methodology selection, data collection and analysis, prototyping, backtesting, and performance monitoring, • Improvement of existing strategies, • Portfolio optimization, • Evaluating new datasets for alpha potential, • MS or PhD in finance, computer science, mathematics, physics, or other quantitative discipline, • 2-5 years of experience researching systematic macro strategies, • Strong programming skills with a high level of proficiency in Python, • Experience researching intraday futures strategies, • Experience with equity index futures, commodity futures, fixed income futures, interest rate swaps, and/or foreign exchange, • Strong analytical and quantitative skills, • Detail-oriented, • Willing to take ownership of his/her work, working both independently and within a small team

Salary: up to 200k + bonus Summary This is a superb opportunity for a proactive and pragmatic coder to join an award-winning, tech-savvy algorithmic trading firm in London. Specialists within electronic market-making in FX, equity, fixed income and commodity markets, they have one of the best names in the industry and attract the top talent. As part of the team that oversees the infrastructure used by the rest of the firm, your main focus will be designing, developing and continually improving these platforms, using a combination of commercial products, open-source software and custom code. Some examples of recent products: in-house job scheduling system; custom Kerberos infrastructure and related tools; standardised open-source and in-house Linux distributions. Fluent programming skills in any language are a must-have. (They use Go for their systems, but also Python, C and Bash; experience in these is not necessary, but you must be be willing and able to quickly adopt new languages as necessary.) Requirements • Demonstrable automation experience of how new tools you introduced impacted positively on users outside your immediate team, • Very strong coding abilities (Go, Python, C and/or Bash experience a plus), • Good working knowledge of Linux, TCP/IP networking, and storage technologies, • Evidence of building excellent relationships with peers both inside a team and across an organisation, • Related development experience in any of these fields: Docker, Prometheus/Grafana, Elasticsearch, Puppet/Terraform, hardware/networking/storage. Benefits • Generous compensation package - you are making a direct impact on the PnL, • Flat hierarchy, focus on teamwork, where people are rewarded on merit and excellence, • Outstanding benefits, including onsite gym/sauna/fitness classes, extensive medical cover, and excellent professional development opportunities, • Cutting-edge, beautiful offices in central London Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

£55,000 - £75,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Role: DevSecOps Engineer Location: London (Hybrid) Salary: up to £70,000 per annum About the Role Join a dynamic Audit Technology team at a leading professional services firm, where cutting-edge technology meets audit expertise. As a DevSecOps Security Engineer, you'll be instrumental in building and securing next-generation Analytics and AI products that transform how audit professionals work. This is a delivery-focused role where you'll manage the day-to-day operation of platform technical security controls and processes, working closely with cross-functional teams including Product Owners, Cloud Architects, Experience Designers, and Business Analysts. What You'll Be Doing: Security Operations & Development: • Develop, document, and maintain platform security processes and plans within established frameworks, • Design and manage automated security tooling that prevents security issues before they occur, • Perform security-focused code reviews and support threat modelling exercises, • Champion cloud security principles across product engineering teams Incident Management & Monitoring:, • Lead incident response for security risks and issues raised by SOC teams, • Manage implementation of logging and SIEM integration for comprehensive monitoring, • Prioritise and oversee vulnerability remediation across the platform, • Support penetration testing activities and security audits Collaboration & Leadership:, • Build strong relationships with central security teams and contribute to communities of practice, • Manage escalations of security-related issues, risks, and exceptions, • Coach and mentor team members on security best practices, • Work autonomously to identify and resolve security challenges across the businessWhat You'll Need Essential Experience: • Strong understanding of security controls within Azure cloud environments, • Experience developing cloud-native applications using infrastructure-as-code best practices, • Expertise in securing containerized applications (Docker and Kubernetes), • Proven experience securing APIs and web applications, • Hands-on experience with Infrastructure as Code (preferably Terraform) and CI/CD pipelines, • Proficiency with Git-based source control and modern programming languages (Java, Python, Go, JavaScript) Key Skills:, • Experience implementing automated compliance and security checks via Azure Policies, • Up-to-date knowledge of common security weaknesses and cloud security mitigations, • Ability to pragmatically introduce security controls without hindering development velocity, • Excellent communication skills and stakeholder management capabilities, • Strong autonomy and initiative in problem-solving Highly Desirable Certifications:, • Azure Security Engineer Associate (AZ-500), • Cybersecurity Architect Expert (SC-100), • Security Operations Analyst Associate (SC-200), • Microsoft Identity and Access Administrator (SC-300), • CISSPWhy Join Us?, • Work with cutting-edge technology in a rapidly growing team, • Collaborate on truly exciting products that make a real difference, • Hybrid working arrangement offering flexibility and work-life balance, • Opportunity to stay current with the latest trends in technology and security, • Career growth opportunities in an ambitious, expanding organization, • Be part of a culture that values security awareness and continuous improvementReady to Apply? If you're passionate about DevSecOps and want to shape the future of audit technology while working with the latest cloud technologies, we'd love to hear from you. This role offers excellent opportunities for professional development in a supportive, innovative environment where your expertise will directly contribute to securing mission-critical audit solutions.

Role Summary At this leading global market maker, Trading Technology Production Engineers work very closely with teams from trading, quantitative, business, & software engineering to support and enhance core trading applications with cutting-edge technology. Responsibilities • Manage the configuration of multiple production silos, covering multiple asset classes, • Improve uptime, capacity, and performance of trading systems, • Diagnose and resolve critical production issues, managing incident tracking, analysis and reporting, • Work with development and QA teams in regression testing functionality and stress testing application servers, • Build automation and processes that reduce the impact of mistakes and eliminate recurring incidents, • Revise software designs to mitigate failures in other parts of the stack, • Contribute to service quality by participating in product development from idea and inception, • Significant experience in UNIX/Linux and troubleshooting network connectivity problems, • Experience in developing in a high-level scripting or object-oriented programming language such as Python, • Experience in writing SQL database queries in MS SQL Server or other common SQL database platforms, • Exposure to CI/CD, SDLC, testing methodologies and test tools, • Proven experience in building, deploying and supporting large-scale distributed applications, • Knowledge of trading systems and applications, including order management systems and FIX engines, • Prior experience in supporting a trading desk A leading global market maker across a broad array of fixed income and equity products. Harnessing a unique set of capabilities and tools designed to drive down the cost of transactions, helping to meet the liquidity needs of asset managers, banks, broker-dealers, hedge funds, government agencies, and public pension programs. They strive to provide the most efficient execution and the highest calibre of services, making markets more fair and accessible for all. The team makes its mark every day from their offices around the world: Chicago, New York, Austin, London, Hong Kong, Toronto, Shanghai, Sydney, Dublin, and Zurich. Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Salary: up to £600k total comp Job description: Client: This premier investment firm undertake rigorous research and deploy systematic, computer-driven trading strategies across multiple liquid asset classes. Technology is central to their success. Systematic macro trading within equities, FX and Futures, they run both intra-day strategies and build long-term systematic HFT strategies. Role: They're looking for a strong software engineer to join their growing development team in London. Working on critical greenfield projects, you'll build high-performance components for both live trading and simulation, as well as increasing automation and robustness of the research infrastructure, including alpha estimation, risk modelling, and backtesting. With lots of project ownership and a collaborative start-up environment, this is a fantastic place to work. Requirements: • 3+ years' development experience in a similar role, • Strong programming skills in C++ (and some Python would be ideal), • Bachelors (or higher) in Computer Science or other quantitative discipline, • A motivated self-starter, with creative & analytical problem-solving skills, • Experience working as part of a small trading team, • Market-leading base + bonuses, • Meritocratic work culture and environment, • Excellent professional development, • Outstanding opportunities for project ownership Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

A market leading Fund are looking for a junior mathematician to join their experienced team of Front Office, Fixed Income Quants as a Junior Quant Analyst. The successful candidate will be responsible for the review and improvement of current risk and pricing models, must have a test-driven approach and be excited by the opportunity to understand and solve complex quantitative problems. Exceptional knowledge of Quantitative Modelling and Mathematical techniques for finance (Greeks, black Scholes, option pricing, derivatives), with a strong problem-solving ability would be the ideal candidate. Key Skills: • At least a BS degree in a relevant quantitative field such as maths, physics, computer science or engineering, • Programming skills in an OO or functional paradigm such as Java, C++, Python or C#, • Excellent knowledge of financial mathematics and modelling.

£300k GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Overview Join a rapidly growing Quantitative Investment Strategies (QIS) business investing heavily in next-generation technology. This role offers the opportunity to design and deliver scalable, high-performance infrastructure supporting trading, risk management, and systematic investment products. As a QIS Platform Developer, you will collaborate closely with Trading, Structuring, Quant, and Technology teams to build and evolve the systems that power the firm's QIS offering. Key Responsibilities • Design, develop, and maintain trading and risk platforms for front-office and regulatory use., • Partner with traders, quants, and technologists to deliver scalable, efficient solutions., • Enhance platform performance, reliability, and user experience., • Contribute to system architecture and integration across infrastructure and workflows., • Maintain high-quality, well-documented production code., • Drive innovation and continuous improvement through modern technologies and best practices., • Support users across Front Office, Quant, and Technology functions.Leadership & Strategic Impact, • Shape platform strategy and recommend technology-driven improvements., • Lead cross-functional projects and mentor junior developers., • Partner with senior stakeholders to deliver robust, scalable solutions., • Manage risk, strengthen controls, and ensure operational excellence.Skills & Experience, • Strong programming skills, with deep expertise in Python and familiarity with additional languages such as C++ or Rust., • Solid understanding of computer science fundamentals, software engineering principles, and system architecture., • Proven experience designing, building, and deploying complex production systems with best practices in CI/CD, source control, and automated testing., • Experience in QIS, front-office quantitative environments, or trading technology (market data, analytics, or risk systems)., • Strong analytical and problem-solving mindset with the ability to tackle complex technical challenges., • Effective communicator and collaborator, capable of influencing stakeholders across Trading, Quant, and Technology teams., • Track record of innovation, continuous improvement, and delivery within high-performance environments.To hear more details please apply to this position or contact Ben Mortimore at Anson McCade. Job Reference: AMC/BMO/QD02

Fantastic opportunity to join an industry-leading global market maker, using innovative and cutting-edge technology. Forget the stuffy world of finance you thought you knew; developers here are tech-driven and truly world-class. Now looking to hire a strong Full Stack Engineer to join one of their major business areas, Fixed Income Macro Engineering. Offering a unique chance to drive significant cross-functional impact, in this role you'll be responsible for developing full stack analytical tools for daily use by the trading desks for pre-trade analytics and risk management. You'll also collaborate with colleagues across the business (investment, research, engineering) to build next generation, web-based trading and research applications. This role would be perfect for someone who demonstrates strong ownership, takes initiative, and thrives in an environment where you can take charge of critical projects and strategic initiatives. Requirements • Strong Typescript/React coding skills and at least one backend language, preferably Python, • Drive and capability to deliver strong UX/UI experiences, • Proficiency in both Linux programming environment and cloud technologies, • Great communication skills, both written and verbal, • A desire to become an expert in all aspects of fixed income and macro trading, • Significant salary + bonus + benefits, • Build complex software solutions to solve challenging problems in agile environment, • Work with some of the smartest minds in the industry from a range of backgrounds Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

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

Total Comp: 250-600k Fantastic opportunity for a modern C++ Developer (C++17/20) to join this crypto trading and investments firm. They leverage cutting-edge technology to trade with extreme precision and speed, essential to evolve in today's fast-changing markets. Looking to hire a talented engineer to focus on building ultra-low-latency, high-performance infrastructure, optimizing execution speed, and ensuring robust system reliability. You'll collaborate with quant researchers, traders and infrastructure engineers to improve system performance, ensuring systems are robust and fault-tolerant for continuous trading operations. The successful candidate will have deep expertise in modern C++, systems programming, and high-performance computing. Requirements: • Outstanding programming skills in C++, with a strong grasp of modern C++(17/20) features, • Extensive experience in low-latency, high-performance systems programming, • Deep understanding of networking (TCP/UDP), concurrency, and multithreading, • Strong experience in Linux-based development and performance tuning, • Background in crypto or traditional finance a plus, but not required, • Experience with kernel bypass networking techniques (AF_XDP, DPDK, or similar), • Competitive salary (250-600k), • Work with the smartest people in one of the fastest-growing and most exciting industries, • Greenfield work / big impact Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Role Overview: The successful candidate will design, implement, and manage data-driven trading models across global macroeconomic assets. The position requires deep expertise in statistical and machine learning methodologies, alongside robust programming and data-handling capabilities. Applicants should bring a verifiable track record of high information ratio strategies deployed in real-market environments. Key Responsibilities: • Develop and deploy systematic trading models across macro asset classes, primarily using futures and foreign exchange instruments., • Apply advanced quantitative methods—including time-series modeling, econometric analysis, and machine learning—to uncover alpha-generating signals., • Conduct extensive backtesting and stress testing to evaluate performance robustness, execution latency, and risk-adjusted return characteristics., • Collaborate within a research-driven environment to enhance alpha models, portfolio construction techniques, and signal processing infrastructure., • Demonstrated experience in quantitative macro research or portfolio management, with a track record of alpha generation and strategy deployment., • Exposure to short- and medium-term systematic trading styles, ideally within timeframes of hours to two weeks., • Advanced academic training (PhD or MSc) in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Computer Science, or Physics., • Strong coding proficiency in Python and/or C#, with working knowledge of SQL for data manipulation and extraction., • Eligible to work in the UK and able to operate effectively in a collaborative, research-intensive setting.

My client is a leading diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. They value autonomy and the ability to quickly pivot to capture opportunities, so they operate using their own capital and trading at their own risk. Headquartered in Chicago with offices throughout the US, Canada, Europe, and Asia, they trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. They have also leveraged their expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. Operating with respect, curiosity and open minds, the people who thrive here share the belief that it's not just what you do that matters-it's how you do it. This is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Now seeking a Senior Software Engineer to join the Unified Platform (UP) team. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Within UP, the Treasury team is responsible for building systems that efficiently allocate capital and facilitate centralized, optimal management of firm resources. Working from high-level requirements, programmers are expected to gain an intimate understanding of the business. They strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. This is a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly-coupled service architectures. You'll be right at home if: • You can work alone but prefer working as a team., • You are passionate about providing business impact through technology., • You are comfortable leading large, complex data projects end-to-end., • You thrive on innovation and constantly seek new, creative solutions to existing problems., • You care more about learning and problem-solving than being right., • You focus on reliability, scalability, and maintainability., • You enjoy design, modeling, and programming regardless of the language or platform., • You'll be helping to manage capital efficiently by developing and maintaining simple and robust data pipelines written mostly in Ruby, Python, and Clojure that perform complex analysis on firm and market data., • You will architect and maintain highly resilient systems that sit in the critical path of operations., • You'll build deep domain expertise as you work on problems that touch a variety of asset classes and trading concepts., • You'll find innovative ways to integrate disparate technologies and provide valuable insights to the business., • You'll enable the communication mechanism for that data whether it be alerting, dashboards, ad-hoc querying, or complex data visualization., • You'll work closely with customers inside the firm to bring reliable, concrete, and introspect-able numbers to support critical firm operations. Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors. About the role The successful candidate will join the global infrastructure team and will be responsible for developing the Kubernetes platform that supports the firm's evolving technology stack. Looking for a highly skilled Lead Kubernetes Engineer to architect, build, and lead the deployment and operation of scalable, secure, and high-performance Kubernetes environments. You will play a key role in designing container orchestration platforms, implementing GitOps workflows, mentoring team members, and driving best practices across the infrastructure and DevOps functions. Requirements • You will design and lead the implementation of Kubernetes clusters (on-prem and/or cloud) with high availability, scalability and security, • You will offer Kubernetes as a product to internal teams by delivering self-service capabilities (e.g. namespace provisioning, templated jobs, onboarding flows)., • You will build reusable platform patterns and deployment blueprints using Helm, Kustomize, or custom controllers., • You will develop and maintain platform-aware GitOps workflows using tools like ArgoCD, Flux, and GitLab CI., • You will have proven experience designing and operating production-grade Kubernetes environments (EKS, AKS, GKE, or bare-metal)., • You will have deep understanding of Kubernetes internals, including control plane components, CRDs, CNI, and storage provisioning., • You will have deep understanding of container security, admission controllers, and policy enforcement tools (e.g. OPA/Gatekeeper)., • You will implement RBAC, network policies, secrets management, and ensure platform compliance with internal and regulatory standards., • You will partner with DevOps, Security and Application teams to enable multi-tenant, production-grade container platforms., • You will lead incident response and post-mortem analysis related to Kubernetes and container platform outages., • You will manage the CI/CD integration with container workflows using GitOps or pipelines (e.g. ArgoCD, Flux, Jenkins, GitLab CI)., • You will mentor and guide junior Kubernetes and platform engineers, fostering a strong engineering culture., • You will have deep knowledge of DevOps tooling, including Terraform/Ansible and be able to demonstrate use of CI/CD technologies, such as Github, Jenkins or Gitlab, • You will have strong knowledge of Python, Golang or similar programming and scripting languages, • You will have deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds, • You will stay informed on industry trends and emerging technologies to ensure infrastructure automation and DevOps tooling & practices remain cutting-edge., • As a senior engineering leader, you will partner closely with research and other infrastructure engineering teams, and work in a highly collaborative manner. Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

A market leading investment manager is looking for an experienced quantitative analyst to join their established team of Fixed Income Quants. The successful candidate will be responsible for the review and improvement of current risk and pricing models, must have a test-driven approach and be excited by the opportunity to understand and solve complex quantitative problems. Someone with strong knowledge of Quantitative Modelling coupled with the ability to Implement models in production using sophisticated software would be Ideal. Experience quantitative measures of risk and pricing such as XVA, Value at Risk and mathematical modelling would be a bonus! Key Skills: • At least a BS degree in a relevant quantitative field such as maths, physics, computer science or engineering, • Programming skills in an OO or functional paradigm such as Python, Rust, C++ or Java, • Excellent knowledge of financial mathematics and modelling.

Role:- The role involves many things such as:- • Contribute to the development of thetechnology and automation of routine tasks., • Improve execution/alphas through backtesting/analysis, • Assist in the deployment and verification of upgrades to the production environment’s technical infrastructure, custom trading applications, market data distribution plant, etc., • Onboard and organise new data sets., • Help launch new strategies and model., • Learn, try and implement new technologies (we love open source)., • Proactively deal with monitoring alerts and help develop the monitoring platform., • Provide support for issues., • Design and implement trading infrastructure, build data analytics tools or develop real-time execution strategies., • Work on complex computational and data related problems. Implement efficient and innovative solutions, • Build tools and engine that enhance our ability to analyse data and contribute to improve workflow., • Support post-trade activities to aid effective clearing and accurate record-keeping., • Significant programming experience is a must, as is a genuine passion for solving complex problems through programming., • You enjoy coding, rather than considering it just a tool, but want your code to have real world results and effects., • You know about data structures and algorithms, and can practically apply the knowledge to real world problems., • You have strong communication skills and a simple, down-to-earth style when articulating your ideas., • You’re self-directed and can effectively and independently manage your time across various projects., • You’re honest, reliable and take pride in your work., • You’re enthusiastic, driven to develop your skills and open to new ideas, • You’re flexible, adaptable and can jump from individual contributor to collaborative team member.

Functional skills: • Algorithmic/Electronic/Real Time Trading Systems., • Working closely with the Electronic Market Making (EMM)/Trading Business to build the next generation electronic trading system., • Expertise and deep proficiency in C/C++ Programming - with a deep understanding of object-oriented programming, data structures, and algorithms, • Deep expertise in Systems Design, Architecture, Distributed Systems, DSA, Performance and Latency Optimisation., • Excellent domain knowledge and experience working on Linux platforms., • Experience with version control systems (eg, Git), build systems, and continuous integration/continuous deployment (CI/CD) pipelines., • Technology leader, a strong people leader who can manage an incredibly talented team of expert C++ software engineers., • Passionate developer, hands on coder designing and developing the core components of the high-performance trading stack., • Operational excellence driver, ensuring platform stability to ensure maximum uptime for trading systems across markets., • Excellent communication skills with the ability to drive technical agenda, lead a team, and influence business stakeholders., • Ability to translate business needs into functional code., • Performing PR reviews on other developers' code., • Clearly able to demonstrate and report on progress in delivering code., • Proven experience as a Technical Lead or similar role in software engineering., • Experience with software development methodologies, such as Agile or Scrum., • Excellent problem-solving skills and the ability to think critically and creatively., • Strong communication and interpersonal skills, with the ability to collaborate effectively with diverse teams., • Lead and mentor a team of software engineers, fostering a collaborative and innovative environment., • Provide technical guidance and expertise in C++ development, ensuring best practices and high standards are maintained., • Drive the design, development, and implementation of complex software solutions., • Experience in building robust enterprise software systems., • Flexible and pragmatic leader & team player., • Open learning mindset.

Principal Quantitative Engineer - SOLE AGENT An exciting opportunity to join a world-class investment environment, driving innovation at the intersection of finance and technology. As Principal Quantitative Engineer, you will shape in-house data capabilities, enhance financial modelling, and directly influence high-value investment decisions. The Role You'll design and implement a robust data warehouse, integrating diverse financial datasets into a scalable platform. Your work will support advanced modelling, analytics, and automated reporting - enabling investment teams to operate with speed, accuracy, and insight. This is a highly visible role where your solutions will have a lasting impact on strategy and performance. What You'll Bring * Strong programming and database expertise (SQL, Snowflake, Spark, or similar) • Python Experience in financial products (bank loans, leveraged loans, Fixed Income, CLOs, derivatives, ABS, CMBS). * Proven knowledge of data modelling, architecture design, and governance. * Familiarity with visualization tools (Tableau, Power BI) or Intex is a plus. * A proactive, collaborative approach with a passion for problem-solving. Why Apply * Play a key role in shaping next-generation quantitative infrastructure. * Influence strategic decisions in a high-performing global investment setting. * Drive innovation in asset-backed investment analytics and modelling. * Long-term career potential with significant visibility and impact. If you're a driven Quantitative Engineer looking to apply your skills in a fast-paced investment environment, we would love to hear from you.

Equity Quant Strategist We have partnered with a Tier-1 global asset manager (multi-hundred $billion AUM) looking to hire an experienced Equity Quant Strategist to join their world-class Public Equities team. This is essentially a desk quant role, embedded directly with equity PMs and analysts, where the selected candidate will work side-by-side with investment teams to drive performance & pnl, while also directly impacting idea generation and portfolio outcomes. The Public Equities business runs a range of strategies, including total return, absolute return, and relative return, with consistently strong performance and a reputation for hiring top-tier investment talent from across the industry. The successful candidate will play a key role in providing actionable, data-driven insights to support idea generation and overall investment performance. A strong understanding of what equity analysts do - reviewing company statements, testing assumptions, and evaluating business drivers - is essential. The role will also have a large focus on alternative data , including sourcing and analysing non-traditional datasets (e.g. LinkedIn hiring activity for a particular company, M&A filings, or other signals of company growth and strategy) to generate unique insights. Key Responsibilities * • Partner with PMs and analysts to apply quantitative techniques, AI/ML models, and visualization tools to support single name and sector-level investment decisions., • Understand company fundamentals and help frame equity analysis through both traditional financial statements and alternative data-driven views, • Source and integrate structured and unstructured datasets (financials, job postings, hiring trends, transactional/M&A activity, etc.) to validate or challenge investment hypotheses, • Develop dashboards and visual analytics to monitor portfolio performance, macroeconomic trends, and company-specific risks in real time, • Conduct data-driven research to understand the effects of macroeconomic drivers-such as interest rates and inflation-on companies and sectors, • Support thematic and event-driven strategy development by applying advanced analytics and data modeling techniques, • Conduct impact and sensitivity analysis using quantitative and network-based frameworks, • Apply behavioural analytics and data insights to help improve research quality and investment decision-making across the team, • Maintain and enhance models and analytical infrastructure to institutionalise insights and support ongoing research, • Relevant experience in quantitative research, with a track record of applying data-driven approaches to support equity investment processes, • Strong programming skills in Python or R, along with SQL and modern data visualization platforms, • Strong grasp of equity/fundamental analysis, with the ability to translate company reports, financial assumptions, and alternative data signals into actionable insights (without being in the role of a PM or Analyst), • Deep expertise in integrating structured and alternative datasets for company analysis and investment insights, • Experience leveraging AI/ML models and visualization tools to drive investment insights, • Excellent communication and stakeholder engagement skills, with the ability to influence decision-making across diverse teams, • Experience with sector specialization in equities is a plus, • Ability to operate independently in a fast-paced, dynamic investment environment

£66,000 GBP £9,000 Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent We are partnered with a market leading, world renown investment firm looking to hire talent as a desk quant analyst. This is a global company which create and develop their own systems to produce high returns for their clients. They have extensive knowledge in trading operations with collaboration deeply embedded in their global culture, with technology, research, and operations teams working seamlessly across continents . As a firm who emphasises high quality returns for their clients, they lead the way in technological and data led decisions through quantitative strategies among financial markets around the world. Key responsibilities as a Desk Quant Analyst • Handling and improving the codebase of strategies within our clients trading network., • Handle large data sets used in the production and research environments., • Conduct monitoring tasks on trading activities., • Work in collaboration with quant researchers and traders to manage the changing needs of the trading desks.Qualifications needed for a Desk Quant Analyst, • Bachelors degree in engineering, computer science or another technical related subject., • programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python), • high level of communication skills and ability to work efficiently with colleagues across multiple areasAdditional desirable Qualifications for desk quant analyst, • Knowledge of Q/KDB+, • Knowledge of Linux and Bash, • Further quantitative skillsIf you are interested, then please apply.

Guidewire Developer Location: London/Hybrid (2 days in the office, 3 days from home) Salary: £55,000 - £65,000 A Guidewire developer is required for a leading Lloyd's of London Insurance organisation, implementing a Guidewire Claims system. This is to join a brand-new team onboarding and implementing a Guidewire Claims system. You will have experience working with Guidewire, across either PolicyCenter BillingCenter or ClaimsCenter. As this is an initial migration and implementation you will be essential in assisting the organisation migrate from their existing claims platform to Claims Center which will be hosted in Guidewires Cloud. Ability to interact with stakeholders and to be involved in decisions affecting the implementation due to go live in 2026 is essential. You will have experience customising Guidewire in Gosu. Key Responsibilities: • Develop and maintain Guidewire customisable layer for insurance platforms in Gosu and Java., • Experience with Guidewire for Policy Center, Claims Center or Billing Center, • Collaborate with cross-functional teams to gather requirements and deliver solutions., • Implement and optimize RESTful APIs and microservices architecture., • Participate in Agile development processes and contribute to continuous improvement., • Ensure code quality through testing and code reviews., • Strong development skills in Gosu for Guidewire (3-5 years of experience)., • Experience in programming languages such as Java or C#.Net, • Familiarity with insurance industry standards and protocols., • Excellent problem-solving skills and attention to detail., • Competitive salary and performance-based bonuses., • Comprehensive health, dental, and vision insurance., • Flexible working hours and remote work options., • Professional development opportunities and career growth.

Shopify Developer - Fast-Growing Fashion Brand Location: London (remote applicants considered) Salary: £65-75K + benefits The Opportunity: • The Shopify Developer provides daily technical support for global E-commerce operations, maintaining the platform, implementing features, improving performance, and delivering projects in close collaboration with the Senior Digital Manager, E-commerce Delivery Manager, and internal and external teams., • Work closely with the senior digital manager and the E-commerce delivery manager to support the E-commerce and E-commerce related integration daily operations from a technical perspective., • Work closely with the E-commerce delivery manager to work on the business requirements for the E-commerce platform., • Work closely with both internal team and external team on a various range of E-commerce related projects., • Deliver well-structured, well-designed, and well-formatted code, aiming for easy to read, reuse, maintain and accessible., • Be available and capable of switching between a various range of projects if needed., • Be available for technical troubleshooting and debugging., • Proven programming experience in Shopify, including Shopify Checkout extensibility, custom APPs, Shopify Functions., • Proven experience in using Liquid files., • Proven experience in using React, Vue, jQuery, JavaScript, CSS, HTML, SQL, graphQL, Ruby, etc., • Proven experience in using APIs and Webhooks., • Proven experience in UX/UI and best practices, replicate designs provided in Figma., • Proven experience in using Git for version control and collaboration, • Experience with Azure service and cloud services, • Experience with cookie consent management tools like: Cookiebot, OneTrust, or Consentmo (Shopify app), • Experience with GTM, GA4, pixel tracking and dataLayer push events., • Experience with accessibility, GDPR and ADA., • Knowledge of SDLC for platform development, testing principles, project methodologies and practices.

Summary Leading global HFT firm is looking for a pragmatic C/C++ Engineer to join the Core Development team. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office retains a lively, positive environment of a start-up with the stability of a longer-established player. Core Dev is a global group of technologists who architect, build and maintain the algorithmic trading platform. This is a fast-paced area, where taking ideas through to deployment must be fast and accurate. As a high performance software engineer, you'll work with technologists & traders to build the next generation of software solutions in areas such as fast networking, high performance computing, and real-time acceleration. Technology is prized by the traders as crucial to their continued success. This role would suit someone who has a combination of low-level software engineer skills paired with computer architecture understanding, and exposure to low-level network architecture. This will enable you to fully contribute to co-designing hybrid hardware/software applications. Requirements • Strong C/C++ design and programming skills with good API design, • Broad knowledge of algorithms and basic understanding of statistics and algebra, • Experience with Python, Matlab, or R for data analytics; Matplotlib, numpy are also preferred, • Experience developing low-level and/or embedded software applications, • Proven individual contributor in a dynamic environment, • Competitive base salary & bonus, • Enormous opportunity to grow, learn and have a significant business impact, • Contributions are rewarded; career progression supported, • Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

A leading UK financial institution is seeking a highly skilled and curious software engineer to join a specialist team building and scaling the firm’s strategic analytics and infrastructure platform. This role is part of a multi-year initiative to modernise the entire technology stack supporting pricing, analytics, market data, trade capture, and risk. The successful candidate will be part of a core team responsible for designing, building and supporting the foundational systems used across the business. This is a rare opportunity to collaborate with top-tier engineers in an environment that values technical excellence, innovation, and deep domain knowledge. Key Responsibilities: • Contribute to the buildout and support of a next-generation in-house platform, including:, • Advanced SDLC tooling and developer workflows, • Distributed compute infrastructure in production, • Monitoring, debugging, profiling, and performance tooling, • Database setup and tuning across multiple technologies, • Partner with teams across the organisation to consult on architecture, optimisation, and software design, • Leverage and extend open-source and commercial tools to meet domain-specific needs, • Help shape internal best practices and technical standards About You: • Strong academic background in computer science, physics, mathematics, engineering or related field, • Passionate about building robust, scalable software with a track record of delivering technical solutions, • Deep programming experience in Python, C++, Rust or similar languages, • Strong analytical skills and a problem-solving mindset, • Comfortable working across infrastructure, backend systems, and tooling, • Excellent communication skills and team mindset – able to engage with both technical and non-technical colleagues Desirable Experience: • Python and/or Rust development experience, • Cloud engineering exposure (e.g. AWS), • Performance tuning and profiling, • Experience with Linux/Unix and Windows environments, • Familiarity with financial systems or fixed income products, • Open-source contributions or deep involvement in engineering communities, • Networking knowledge Why Join? • Be part of a team that directly influences the technical direction of a highly specialised financial business, • Gain exposure to an ambitious technology modernisation programme at scale, • Collaborate with one of the most experienced engineering teams in the industry, • Work in a culture that prioritises quality, impact, and long-term thinking, • Enjoy clear growth opportunities, strong support, and a technically challenging environment

£120,000 GBP £70,000 Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Overview My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting edge systems, from high performance trading platforms to large scale data analysis and compute farms. Responsibilities • Collaborate with senior traders and quantitative researchers to structure and evaluate new trading opportunities, • Generate PnL tracking and attribution reports based on trade ideas, • Monitor and analyze portfolio performance to generate risk reports, • Hedge books and allocate hedges appropriately, • Execute large or complex trades which cannot be automated due to complexity or liquidity constraints Qualifications • Research, Computer Science, Physics, Economics, Finance, • Strong communication skills with the ability to collaborate with teammates globally, • Strong sense of urgency with the ability to work well in a fast-paced environment

£66,000 - 85,000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Desk Quant Analyst - Junior Introduction for a Desk Quant Analyst: My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting-edge systems, from high performance trading platforms to large-scale data analysis and compute farms. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology and operations teams functionally around the world. The role as a Desk Quant Analyst: • Maintain and upgrade the codebase and configuration of strategies within the firm's automated trading framework., • Manage large datasets used in both research and production environments., • Perform live as well as historical monitoring of trading activities. For instance, do some post-trade analysis or production reconciliation., • Work in close collaboration with quant researchers and traders to understand the constantly evolving needs of the trading desks.Requirements for a Desk Quant Analyst:, • Degree in Engineering, Computer Science or related technical subject., • Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python)., • Great attention to details., • Strong communication skills and ability to work well with colleagues across multiple regions. Linux, • Ability to work well under pressure.

Location: London About the Role: Quantitative Developer wanted to join a high-impact risk engineering team at a leading Quant Fund. This role focuses on building and optimizing computational frameworks that power portfolio construction, stress testing, and risk decomposition across multi-asset strategies. You will work closely with risk managers and investment teams to deliver actionable insights and production-ready analytics. Key Responsibilities: • Build scalable simulations and "what if" scenario engines for portfolio risk analysis, • Develop optimization tools for risk decomposition and portfolio rebalancing, • Enhance and maintain Python-based risk models and analytics libraries, • Support full revaluation pricing models and risk calculations across asset classes, • Strong programming skills in Python; experience with other languages is a plus, • Proven experience with financial risk systems or portfolio optimization tools, • Deep understanding of pricing, risk modelling, and front-office trade lifecycle, • Ability to build and deploy quantitative models in production environments, • Bachelor's or Master's in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus. Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

About the Position My client, a tech-centric prop trading fund, trades a wide range of financial products across the globe. Their numerous distributed systems are built on an agile, reliable, multi-vendor network infrastructure that supports all traffic profiles from trading to internet connectivity. Looking for a Network Engineer who will help build and maintain the team's highest level of service and scale the network ahead of business demands, while pushing for more standardisation through automation. Strong communication and interpersonal skills will be needed as you collaborate with colleagues across the firm globally. You will find and resolve issues, plan and execute deployments, and improve systems where possible. Getting the details right and keeping good records will be critical in this role. Striving to improve the team through documentation and contributing to monitoring and automation systems will be a must. A typical day in the Network Engineering team includes: • Working on cross-team design efforts such as new data centers and colocations, WAN routing optimisation, and other initiatives, • Interacting with stakeholders to identify requirements and network features/capabilities that are required to enable the business, • 7+ years of experience operating and deploying network infrastructure, • 3+ years of experience in ground-up network design, • Experience with routing and network protocols (OSPF, BGP, PIM-SM), • Experience troubleshooting transport protocols (TCP/UDP), • Experience working with Linux and proficient in a programming language, • Ideally experience with overlay networks (EVPN, VxLAN), • Eagerness to automate your workflow to increase efficiency, • High capacity to learn; we are more interested in how you think than what you already know, • High capacity for context switching and organising your workload, • Clear communication skills with the ability to maintain a high degree of customer service, • A flexible and reliable team player who enjoys working in a collaborative environment, • Fluency in English required Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

The venue is renowned for its creative cocktails and diverse range of events, and we are seeking someone who can help take our programming, marketing, and event management to the next level. The role involves marketing in-house events, selling tickets for upcoming events using our social media chann

Lead Python Developer (PYTHON/AWS/REACT) - health tech - tech for good, make a positive impact on the world. Highly successful and fast growing organisation has an exciting opportunity for a Lead Python Developer (PYTHON/AWS/REACT). JOB PURPOSE Part of the extended Technology Leadership Team, the Lead Python Developer will design, implement, and maintain publishing software, systems, and customer- facing digital products. They will provide technical supervision and guidance across the team, establishing and maintaining the development processes and working practices. MAIN ACCOUNTABILITIES • Lead the development and maintenance of software, in line with organisational objectives for a specific team., • Promote the creation of high-quality code using modern agile engineering practices such as TDD, CI/CD, pair programming, continuous monitoring etc., • Work closely with QA and Product teams. Act as an expert in a number of knowledge areas and encourage the development and sharing of knowledge within the organisation., • Identify process improvement opportunities and act on them accordingly., • Encourage innovation by identifying, evaluating and adoption of emerging technologies., • Collaborate with the Head of Engineering on recruitment and on-boarding of team members., • Identification of capability gaps and ensuring continual development of team members through mentoring and coaching., • Work closely with Head of Engineering and act as a representative for engineering to your respective team., • Work closely with other Lead Software Developers to ensure consistent ways of working and help limit duplication and waste., • Contribute to, and work in accordance to the Engineering Team Charter and other organisational strategies (and encourage team members to)., • Deal effectively with low-performing team members., • Communicate up to Exec level, clearly, concisely and with authority and confidence., • Communicate effectively with non-technical stakeholders using clear, non-technical language., • Leadership and team building skills, with the ability to delegate responsibilities to team members., • Practical experience in system design, development, testing and operational stability., • Deep understanding of software design, code quality and ability to propose architectural options and evaluate trade-offs., • Ability to work closely within an agile team using User Stories and acceptance criteria to understand functional and non-functional requirements, • Deep knowledge and experience in Python and its ecosystem, patterns and pitfalls., • Extensive experience of working in an agile environment (we use Scrum)., • Experience with extreme programming practices such as incremental development, continuous integration, test driven development and pair programming., • Familiarity with modern Front End technologies and JS frameworks, such as React., • Experience writing and consuming RESTful APIs in Python., • Experience with AWS services (Lambda, SQS, API gateways, S3)., • Excellent time-management and organisational skills, with the ability to work to deadlines. Basic salary £76,000 + excellent benefits Hybrid role - between 4 - 8 days per month in the London office, the rest remote

Golang Engineer/Go Developer required by a thriving sports technology scale-up who work with some of the top organisations in sports. The company has a base in the UK but have developers all across Europe, and are looking for a Backend Golang Engineer, offering fully remote working. This is a SportsTech with a progressive and fun company atmosphere, offering a salary up to £70k, and a chance to work with some amazing products for F1, Football, Volleyball, Cricket, Rugby, Esports, and much more! Their main tech stack is based around a microservices architecture using: Golang - Kubernetes - MongoDB - gRPC - AWS, and other associated tech. They encourage career and personal progression and offer additional working flexibility. There is a completely up-to-date tech stack, so this is a great opportunity to work with the latest technologies on some fantastic client projects! This Backend Golang Engineer role is a hands-on position and you will need a minimum of 3 years current experience working with Golang as your primary programming language. My client has a fully remote team, so this Golang Developer role can be based anywhere in the UK. To apply for this role please send your CV to Rob Goffin at IT Recruitment Solutions now. Golang Engineer, Go Developer, Backend Engineer, Fully Remote, Sports Technology, UK, Permanent £70k + Fully Remote

Salary: £130-140k base + £50-70k bonus Unique opportunity for a junior modern C++ engineer to join one of the world's most prestigious hedge funds in a brand-new role within the centralized Commodities Quant team. In this critical role, you'll working closely with derivatives quants and data scientists across the business to research and develop commodities quantitative models specific to the risk & portfolio managers' needs. All greenfield work, your focus will be quantitative analysis models for derivatives, including calculation and aggregation of raw risk metrics (the Greeks), risk projections, forward curve and volatility surface construction, handling timeseries data for the construction of price and volatility scenarios, and modeling of Value at Risk (VaR) with both historical and factor-based approaches. This opportunity provides a collaborative, entrepreneurial and fast-paced environment with excellent opportunities for career growth. Skills and Experience Required • Experience with and understanding of modern C++ (at least C++17, ideally later), • Strong programming skills with clean reliable code, • Keen interest in commodities markets, • Familiarity with at least one commodities asset class, e.g. energy, ags and softs, or base metals, • Previous experience researching and building risk models for commodities markets, • Significant salary + a bonus tied to profits / trading strategy success, • Greenfield work / big impact, • Very collaborative culture, ideas are implemented

Salary: £200k base + £150 - £400k bonus // All experience levels Client: One of the world's top market makers is expanding their Machine Learning and related AI teams. Already a market-leader, in the past few years they have invested extensively in their data offerings and are ready to expand their ML and AI teams to stay ahead of the curve. A cross-asset liquidity provider, they do a huge volume of trades daily and are working with massive data sets that require enormous computational power. Role: You'll be extracting signals from vast datasets of market data to gain beneficial insights. Your time could be split between alpha generation in a trading team and time in the core engineering team - working very collaboratively as a firm to maximise PnL for the collective. For example, if you're sat on an FX desk and find something useful, you'll share the knowledge with the Equities team. You'll be using ML to find ways to cut through the noise - how can you improve day-to-day performance with ML techniques? Is there AI assistance you can utilise to make everyone's life easier - from traders to operations, and ML tools for engineers? Requirements: • Extensive ML experience, • Strong programming skills in any OO language, • Collaborative nature with excellent communication skills, • Shape the firm and, to an extent, the industry's ML developments, • Attend conferences, • Excellent compensation package, • Good work-life balance Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

This is a technology-driven, diversified principal trading firm, trading their own capital at their own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so have they - maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,000 employees around the world, they work together to solve complex problems, challenge consensus and deliver meaningful results. It's a place of high expectations, deep curiosity and thoughtful collaboration. Now looking for outstanding Software Engineers with expertise in C++. In this role, you will be a part of the Core Infrastructure team, responsible for designing, developing and maintaining the low-latency trading platform deployed globally. You will be tasked with working on various areas of the technical stack including order routing, market data, and risk systems. Requirements: • Strong preference for candidates with experience in proprietary finance, high-frequency trading (HFT) and/or market-making, • Significant experience developing high-availability systems in C++ and Python with very tight resource/latency constraints, • Background in multi-threaded programming and a strong understanding of hardware/software interaction, • Comfortable working "under the hood" and you are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting, • Experience working with C++ libraries like STL and Boost, • Up to date on C++11/C++20 standards and have opinions about them, • You've worked on challenging projects that involved things like building a custom compiler, writing a matching engine, or working with large amounts of data in real time, • Experience working in the trading industry or another ultra-low latency sensitive business that involves solving remarkably complex problems, • Experience working with Research teams and Quants

Role:- Researchers are responsible for conducting quantitative research using statistical and predictive modelling techniques. Research and implement various trading strategies Identify new trading opportunities by using statistical methods and analysing large data sets Ensure that all data and related processes are prepared and check over strategies that have been implemented as well as tracking their behaviour Work closely with other researchers to develop and continuously improve upon mathematical models, and help translate algorithms into code Requirements:- Experience of researching, or implementing quantitative models for equities, futures, and/or FX. Cross asset experience is ideal. PhD in Maths, Stats, Physics, Computer Science, or other quantitative discipline. Demonstrated ability to conduct independent research utilizing large data sets Programming in any of the following: C++, Java, , Python. Detail-oriented

£200,000 - 300,000 GBP Onsite WORKING Location: London, Central London, Greater London - United Kingdom Type: Permanent Front Office Rates Quant - Elite Global Macro Hedge Fund (London HQ) One of the world's top-performing global macro hedge funds is looking to hire exceptional quants into its London-based front office. This is a rare opportunity to join a highly selective team working at the cutting edge of macro trading, with direct exposure to portfolio managers and real PnL impact. The firm is actively strengthening both its Linear and Non-Linear Rates Quant teams. The Ideal Candidate Will Have: • Deep expertise in Rates products and modeling (linear or non-linear), • Strong programming skills in Python, plus OOP experience in C++/C#/Java, • A proven track record of building trading, pricing, or risk tools that directly support the front office, • A solid academic background - PhD or Master's in a quantitative discipline strongly preferredWhy This Role?, • Front-office seat: Work side by side with PMs and traders, • High-impact: Your work will directly influence trading decisions and PnL, • Collaborative culture: Flat structure, small specialist teams led by hands-on senior quants, • Ownership from day one: Expect responsibility, autonomy, and visibility, • Linear Rates expertise is especially valued given current trading focusIf you're a high-calibre quant with a passion for macro markets and are looking for a platform that matches your ambition, we'd love to hear from you. Apply now or get in touch with to learn more.

Salary: £200k + bonus Summary Unique in their field, this HFT fund has the lively, positive spirit of a start-up with the stability of a longer-established player. They hire exceptional talent in Maths, Physics and Computer Science, from across the trading, tech and start-up industries, to apply cutting-edge research to global financial markets. One of their fast-growing quant trading teams is looking to hire a dynamic FPGA Developer with HDL development experience. You will collaborate extensively with traders and technologists to evolve, improve and maintain all elements of the team infrastructure. This role offers the opportunity to gain exposure to a wide range of interesting and challenging problems involving high performance computing, software design and big data, where most problems require high-availability, high-throughput and low-latency solutions. The trading team sees technology as a key component of their continued success and candidates will be exposed to cool, cutting-edge technologies. The i deal candidate will have leadership experience and be able to step into a Team Lead role post-12 months as an individual contributor This firm also has roles within its core tech group if you're not keen working on trading desks. Requirements • At least 5+ years' hands-on development experience in HDL (SystemVerilog/VHDL) with C++ knowledge, • Solid experience in solving numerical problems with existing commercial architectures (CPU/GPU/FPGA/etc.), • Sound knowledge of bridging solution from both hardware & software, • Experience in Linux system programming & computer architecture Benefits • Competitive base salary & bonus, • They're willing to be flexible with WFH, • Enormous opportunity to grow, learn and have an impact, • Contributions are rewarded; career progression supported, • Unique culture where you can fulfil your potential through collaboration and mutual respect Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.