Quantitative Trading Analyst at Maven Securities Holding Ltd | London

Maven Securities Holding Ltd is a leading proprietary trading firm, leveraging internal capital across a variety of strategies including discretionary, systematic, and market-making. Our diverse team of traders, engineers, and technologists is dedicated to optimizing our role as a top-tier liquidity provider for globally traded derivatives. We utilize innovative execution and pricing technologies to enhance the functionality of financial markets. As Maven grows, we maintain the vibrant energy and innovative culture of a startup, while minimizing associated risks. Key Responsibilities:Build Advanced Analytics Framework: Create scalable Python libraries and tools to standardize performance metrics across teams, establishing automated workflows that transform raw trading data into valuable insights for Portfolio Managers and the Investment Committee.Conduct In-Depth Quantitative Research: Execute comprehensive statistical analyses on trade and portfolio-level data to dissect PnL drivers. Identify alpha decay, inefficiencies, and execution challenges to provide actionable insights that enhance performance.Optimize Existing Strategies: Analyze trade and strategy performance to pinpoint areas for optimization and efficiency improvements. Deliver data-backed recommendations and ensure follow-through.Identify Trading Risks & Opportunities: Monitor portfolio exposures, performance trends, and market signals to detect emerging risks and uncover underutilized or mispriced opportunities across various strategies.Assist in Strategy Development: Support the onboarding process for Portfolio Managers and contribute to business development initiatives involving new product groups and strategies.

ABOUT THE COMPANY: Maven is a leading proprietary trading firm, strategically allocating internal capital across a spectrum of discretionary, systematic, and market-making strategies. Our diverse team of traders, engineers, and technologists is united by a shared commitment to enhancing our capabilities as a premier liquidity provider in global derivatives markets. We utilize cutting-edge execution and pricing technologies to redefine the operational landscape of financial markets. Overview: At the intersection of technology and trading, the Maven FPGA team is at the forefront of hardware innovation, developing proprietary designs that maintain our competitive edge in an evolving landscape. With offices in London, New York, Hong Kong, and Chicago, we engineer solutions to support global trading operations across various exchanges, asset classes, and trading strategies. Our small, agile teams are dedicated to growth, investing in people, tools, and platforms to solidify our leadership in the industry. The Role: As a key member of our team, you will collaborate with traders and technologists to identify and leverage opportunities that enhance our competitive advantage through FPGA systems. By optimizing latencies, maximizing throughput, and improving system robustness, you will play a pivotal role in boosting the efficiency of existing strategies and unlocking new trading opportunities. We have several greenfield projects on the horizon, and proactive, self-motivated candidates will have the opportunity to ascend into leadership roles as the firm continues to evolve. While financial experience is advantageous, your engineering skills, problem-solving capabilities, and readiness to tackle new challenges are of paramount importance to us.

Maven Securities Holding Ltd is a distinguished proprietary trading firm that adeptly allocates internal capital across a range of strategies, including discretionary, systematic, and market-making approaches. Our team's extensive expertise encompasses traders, engineers, and technologists, all committed to optimizing our efficiency as a leading liquidity provider for globally traded derivatives. At Maven, we foster a relaxed yet rewarding culture that highly values exceptional performance. With offices located in London, Amsterdam, Hong Kong, New York, and Chicago, our Infrastructure team comprises open-minded technologists dedicated to the continuous enhancement of the end-to-end resiliency, scalability, visibility, and supportability of Maven's trading systems. The Team and the Role The Linux Engineering team is tasked with the deployment, maintenance, and stability of Maven's Linux server environment. This estate spans 10 data centers across Europe and the US, supporting all trading applications. Our infrastructure includes both bare-metal deployments and containers, facilitated by an expanding array of Kubernetes clusters, all operating on-premises. The team operates from Chicago and London, covering both European and US market hours. We proactively monitor our infrastructure for any faults and performance issues, translate technical challenges for our trading teams, design and test new hardware, kernels, and operating systems, manage centralized storage arrays that support our data pipelines, and stay up-to-date with the latest developments in the Linux open-source community. We leverage a variety of open-source tools to extract comprehensive data from our platform and dedicate time to thoroughly investigate issues to ensure we maintain a clear understanding of our environment.

Maven’s Systematic Alpha team is seeking exceptional portfolio managers to contribute to our global expansion. Our group utilizes meticulously researched strategies in trading across futures, options, and equities. We adopt a scientific and process-oriented trading approach, fostering a flexible research environment that efficiently facilitates the development, testing, and implementation of innovative ideas. The Role: This is a remarkable opportunity to research, develop, and execute systematic strategies across listed instruments such as futures and FX. You will take full ownership of the trade/strategy life-cycle, actively monitoring and managing portfolio risk to optimize the risk/reward profile. We promote a collaborative environment with our Quant PMs, encouraging teamwork and shared success. What We’re Looking For: The ideal candidate will possess a comprehensive understanding of the systematic inefficiencies they aim to exploit. They will have played a pivotal role in the research and execution of the strategy and will be adept at developing new strategies from concept to implementation. 3+ years of experience as a Portfolio Manager or 4-5 years as an Assistant Portfolio Manager; Realized Sharpe ratio greater than 2.5; Proven track record of successful strategy execution; In-depth knowledge of the strategy; Robust coding expertise; Strong research capabilities; Master's degree or PhD in a scientific discipline; Experience working with large time series data; Excellent programming skills in Python or Julia. Why You Should Apply: Join a highly rewarding, collaborative, and successful trading firm; Enjoy a flexible research environment for developing, testing, and deploying new ideas; Work in a tech-driven environment where technology is critical to our success; Thrive in a supportive atmosphere that empowers you to achieve your ambitions; Experience a friendly, informal, and rewarding culture.

Maven Securities Holding Ltd is a cutting-edge proprietary trading firm established in 2011, with a global presence that includes offices in London, Amsterdam, Chicago, New York, Hong Kong, and Monaco. We pride ourselves on having a team of exceptionally skilled traders, developers, engineers, and operational staff who execute a wide variety of market-making and position-taking strategies across global derivatives, equities, and debt instruments. Our culture is relaxed and informal, yet we are fiercely dedicated to high performance and rewarding excellence. The Risk team at Maven is at the forefront of innovative risk management practices, overseeing the extensive trading operations across our organization. We are a cohesive global unit that integrates risk management, technology, and development to create and implement advanced systems while ensuring meticulous monitoring of trading exposures across the firm. This Risk Analyst position offers a unique opportunity for an outstanding individual with specialized expertise in options risk management. Based in our London office, you will collaborate with experienced risk team members from our Hong Kong and Chicago locations. The successful candidate will gain insights into our diverse business activities and strategies while serving as the first line of risk management oversight for critical trading functions. The proprietary risk systems we utilize set the parameters for effective risk management, and as Maven grows and diversifies our strategies, our risk monitoring systems and processes evolve in complexity and sophistication. The Risk Analyst will be tasked with updating and managing daily risk processes and conducting thorough risk monitoring—an essential responsibility given the volume and variety of trades processed. Additionally, you will be involved in interpreting and developing risk metrics, contributing to the enhancement of our risk management practices, and collaborating with the wider team to refine our systems, controls, and procedures. Communication with traders across Europe and our global trading hubs will also be a key aspect of this role. If you excel in a dynamic environment, possess a natural curiosity for the financial markets, and have a foundational understanding of trading and risk concepts, we are committed to helping you evolve into a leading Risk Analyst in the industry.

About WintermuteWintermute is a pioneering technology firm and one of the foremost algorithmic trading companies specializing in digital assets. Our mission is to provide liquidity across a diverse range of cryptocurrency exchanges and trading platforms. We also offer comprehensive OTC trading solutions while supporting prominent blockchain initiatives and traditional financial institutions transitioning into the crypto space. Additionally, Wintermute Ventures invests in early-stage DeFi projects, further enhancing our influence in the industry.Founded in 2017, Wintermute has adeptly navigated through various industry cycles. We blend the high-frequency trading standards of traditional markets with the innovative spirit of technology startups. At Wintermute, we are committed to harnessing the disruptive potential of blockchain technology, maintaining a long-term perspective on the digital asset market, and leading the way in establishing a compliant and innovative trading environment. To learn more, please visit our website.Join Our TeamWe are on the lookout for a passionate C++ Quant Developer who thrives on technology and possesses a keen interest in both the intricate details of computer hardware and the overarching design of expansive systems, including data infrastructure. The ideal candidate enjoys exploring the inner workings of technology, has a solid understanding of data structures, and possesses experience in developing client-server network applications and optimizing high-performance code. We value prior experience from personal projects as well as professional backgrounds. A PhD in mathematics is common among our Quant Developers, and a solid grasp of mathematical concepts is essential. An interest in algorithmic and quantitative trading is a bonus.At Wintermute, you will have the unique opportunity to directly influence our trading activities by developing and enhancing various aspects of our trading platform, data infrastructure, and related software. You will receive guidance from seasoned developers and traders, including our founders. Expect immediate responsibility and independence, enabling you to learn at an unparalleled pace! We operate without legacy systems, bureaucratic hurdles, or multiple approval layers; all developers report directly to our hands-on CTO. The impact you make is truly up to you!

Thank you for considering a future with Maven Securities Holding Ltd! We invite you to register your interest in our exciting roles and be among the first to know when applications open. This is a great opportunity to explore a career with us! In the meantime, we encourage you to visit our website and follow us on social media to stay informed about our latest news and events. We are eager to review your application soon!

About Us: DV Trading is a prominent player in the financial services sector, leveraging proprietary capital, innovative trading strategies, and sophisticated risk management techniques to deliver liquidity across global financial markets and various asset classes. Established 20 years ago and headquartered in Chicago, our team has expanded to approximately 600 professionals operating across North America, Europe, the UAE, and Asia. The DV Trading group encompasses two broker-dealers, a futures commission merchant, and a registered investment adviser. Responsibilities: Create predictive models utilizing financial data through advanced statistical analysis techniques. Develop robust solutions to complex challenges faced in the trading environment. Transform research strategies into operational software applications. Formulate and implement mathematical modeling techniques to enhance existing trading strategies while embarking on innovative research aimed at identifying and capitalizing on trading opportunities. Requirements: A degree in a technical discipline, emphasizing statistics, machine learning, or computer science. Demonstrated experience collaborating with trading desks. Proficiency in managing large data sets effectively. Expertise in Python programming. Substantial hands-on experience applying algorithms in practical scenarios. Exceptional problem-solving and statistical analysis skills. A proactive approach in leading assignments and projects.

At Jump Trading Group, we are dedicated to pioneering world-class research in the financial sector. We empower the brightest minds in Mathematics, Physics, and Computer Science to explore scientific frontiers, surpass them, and harness cutting-edge research to innovate within global financial markets. Our culture fosters constant innovation, encouraging fearlessness, creativity, intellectual honesty, and a competitive spirit. We believe in collaborative success, unlocking unique individual talents through teamwork and mutual respect. At Jump, our research outcomes extend beyond superior risk-adjusted returns; we design, develop, and implement technologies that reshape industries, fund startups across various sectors, and collaborate with leading global research institutions and universities to address complex challenges.The quantitative trading teams at Jump Trading delve into the intricacies of global markets, striving to comprehend the complexities of diverse traded products and exchanges. They utilize their exceptional statistical analysis and data mining expertise, applying research findings to forecast trends and create profitable predictive trading models.

Role overview dvtrading is hiring a Quantitative Trader specializing in equities for its London office. This position focuses on applying quantitative techniques and data analysis to identify trading opportunities within equity markets. Both strategy development and hands-on execution play a central part in the role, directly impacting the firm's trading performance. What you will do Analyze extensive market data to find patterns and opportunities in equities trading Design, test, and implement quantitative trading strategies Collaborate with a team of experienced traders and researchers Monitor how strategies perform and adjust them to improve results Who thrives here People who enjoy solving complex problems in creative ways Those with a strong interest in financial markets Individuals comfortable in a collaborative and energetic team setting Location This role is based in London.

About Man GroupMan Group is a leading global alternative investment management firm dedicated to delivering superior returns for discerning clients through our Systematic, Discretionary, and Solutions offerings. Leveraging exceptional talent and cutting-edge technology, our investment strategies—both single and multi-manager—are grounded in extensive research and span public and private markets across all major asset classes, with a notable emphasis on alternative investments. We prioritize a partnership approach, forging deep connections with clients to create customized solutions that address their investment objectives and those of the millions of retirees and savers they represent.Based in London, we manage assets totaling $227.6 billion* and have a presence in multiple global offices. Man Group plc is publicly traded on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. More information is available at www.man.com.* As of 31 December 2025Algo Research Team:The Algo Research team is tasked with conducting alpha research across a diverse range of time frames—from high-frequency to daily strategies—designing monetization and execution algorithms, and performing market impact modeling across all major asset classes, including Cash Equities, Futures, FX, and Options. We collaborate closely with various systematic research teams within Man Group to maximize the realized profit and loss of our strategies. Algo Research is a critical area of focus for Man Group.We are seeking a Quantitative Researcher primarily focused on Futures, with responsibilities including:Developing high-quality intraday predictive alpha signals in futures with time scales ranging from sub-seconds to hours, utilizing order book and alternative datasets.Implementing machine learning techniques in alpha research.Conducting detailed market impact modeling.Addressing optimal execution optimization challenges.Identifying the most lucrative profit and loss opportunities.Collaborating closely with researchers across the Man Systematic team.

At Maven Securities Holding Ltd, we specialize in deploying rigorously researched strategies across futures, options, and equities. Our Systematic Alpha team utilizes cutting-edge technology to execute a scientific and methodical approach to trading. We foster a flexible research environment that empowers our team members to develop, test, and implement innovative ideas efficiently. By valuing creativity and collaboration, we ensure a supportive atmosphere that maximizes our team's potential. Our commitment to excellence allows us to elevate proven strategies across diverse alpha sources and time horizons using state-of-the-art execution technologies.The Role: Collaborate with fellow researchers to conceptualize and develop new trading strategies and signals. Engage in risk management discussions and contribute to trading operations while gaining exposure to the entire investment pipeline.

Join our innovative team at mustard-systems, where we develop tailored statistical models and probabilistic frameworks that accurately predict horse racing outcomes and optimize trading strategies. Your insights will directly influence our success, determining what to back, when, and how much.We are seeking a dedicated researcher to become a vital member of our quantitative team. In this role, you will enjoy significant ownership over your projects, making impactful decisions about what you build, how you approach it, and evaluating its effectiveness.If you have previously tackled challenging technical problems and are eager for more opportunities to apply your scientific problem-solving skills in a high-stakes environment, we want to hear from you.Your responsibilities will include building and refining our quantitative models. While our primary focus is on custom state space models, probabilistic frameworks, and neural architectures, we are open to exploring other methods if they yield better results. Understanding the data is just as crucial as modeling; you'll need to navigate its complexities and uncover untapped opportunities.You will be expected to articulate the rationale behind your modeling choices clearly, and we will encourage you to challenge our assumptions as well.As part of a small, ambitious team, you will grow your understanding of our product and domain, influencing research directions and the business decisions that stem from them. We are looking for someone who identifies problems, crafts solutions, and pursues tangible outcomes, rather than merely completing predefined tasks.

About WintermuteWintermute is a pioneering technology company and a leading player in the algorithmic trading sector, focusing on digital assets. We are dedicated to providing liquidity across a vast array of cryptocurrency exchanges and trading platforms. Additionally, we offer comprehensive OTC trading solutions, supporting both high-profile blockchain initiatives and traditional financial institutions transitioning into the crypto space. Our Wintermute Ventures division also invests in promising early-stage DeFi projects.Founded in 2017, Wintermute has adeptly navigated the complexities of industry cycles. Our culture merges the high-frequency trading standards of traditional markets with the innovative and entrepreneurial spirit typical of technology startups. We are firm believers in the transformative potential of blockchain, and we take a long-term approach to the digital asset market, positioning ourselves as leaders in fostering a compliant and innovative trading environment. For more details, you can read more here.Why Join Wintermute?We are on the lookout for an Algorithmic Trader with robust coding abilities (Python) and a keen interest in high-frequency trading, liquidity provision, and cryptocurrency markets. From day one, you will manage your own “desk” and have the chance to create and refine your own trading algorithms and strategies. You will receive invaluable mentorship from seasoned traders and developers, including our founders and management team. Expect a high degree of autonomy and responsibility from the outset, allowing you to make a significant impact without the hindrance of legacy systems or bureaucratic red tape.Your ResponsibilitiesFollowing a brief training period, you will focus on enhancing existing trading strategies, introducing new trading products, and advancing the technology behind our trading systems. You will analyze extensive trading and transaction data to extract insights, prioritize them, and devise solutions based on your findings. You will have the opportunity to influence P&L positively and will be encouraged to experiment with innovative ideas and strategies. We will provide more technical specifics during the interview process.Please note: We seek individuals with strong quantitative and coding skills; however, this is primarily a business/trading role rather than a research position.

About the Position As a Quantitative Trader at Jane Street, you will be part of a dynamic team that leverages proprietary models to execute over a million trades on busy days. Our traders collaborate to identify and capitalize on pricing inefficiencies, develop innovative models, manage risk, explore new products, and expand into emerging business areas. Experienced traders mentor and guide their less-experienced colleagues, allowing new traders to grow into their roles with increasing responsibility. At Jane Street, technology is integral to our trading strategy. We pride ourselves on being as much a technology firm as a trading company. Our primary programming language is OCaml, a statically-typed functional programming language, and we boast the largest team of OCaml engineers in any industrial context.

The RoleJoin the dynamic team at Brook Green Supply, an independent B2B energy supply company, as an Energy Trading Analyst. This is an exceptional opportunity for a motivated and commercially astute individual to contribute significantly to the growth and transformation of our trading desk, which is at the forefront of the UK energy market.In this pivotal role within the Trading Analytics team, you will support portfolio engagement, focusing on enhancing hedging performance and analytical capabilities across the UK power and gas sectors. This high-visibility position directly influences trading performance by delivering actionable insights and facilitating market analysis for both internal and external stakeholders.Additionally, you will provide commercial support for structured energy products, Power Purchase Agreements (PPAs), and risk management processes.Responsibilities· Analyze market fundamentals and real-time data to identify trading opportunities and inform strategies for hedging supply and generation exposures.· Collaborate closely with traders and senior stakeholders to provide insights on market views, trade recommendations, and hedging performance.· Generate valuable insights through written reports, presentations, dashboards, and other visualizations.· Assist in the development of fundamental and quantitative models for price forecasting, risk analysis, and commercial decision-making across power and gas trading.· Work alongside the technology team to enhance data architecture and analytics infrastructure.About You· Strong analytical and problem-solving skills with the ability to convey complex concepts clearly.· Proven understanding of energy markets and energy system fundamentals.· Excellent interpersonal skills and a collaborative mindset.· Highly self-motivated, able to take initiative in a fast-paced environment.

Fasanara Digital is a quantitative investment team focused on scientific and high-frequency trading in digital assets. Since 2018, the group has grown to 30 professionals and manages over $500 million USD. The portfolio relies on fully delta-neutral trading strategies and operates across more than 15 crypto liquidity venues. The team’s diverse backgrounds and commitment to continuous platform development support round-the-clock trading and help maintain a strong position in the cryptocurrency sector. Our Culture Fasanara values meritocracy, rewarding impact and performance. The environment encourages collaboration, entrepreneurship, and trust. Ambitious goals, diligent work, and a focus on teamwork define daily operations. The company is committed to attracting and developing exceptional talent, believing that team quality drives success. Role Overview The Quantitative Trader will refine and improve delta-neutral strategies on centralized crypto exchanges. This role uses quantitative skills and knowledge of exchange mechanics to expand cross-exchange arbitrage and basis trading strategies. Over time, the trader will develop deep expertise in Fasanara’s trading architecture and contribute directly to business growth. What You Will Do Enhance current trading strategies and identify new trading opportunities. Work closely with researchers and technologists to systematically improve trading profitability. Optimize trading volumes with respect to exchange fee structures. Maintain and improve codebases for production strategies and develop performance metrics. Monitor daily trading activities and troubleshoot operational issues as they arise. Requirements Full-time experience in the trading industry, with knowledge of central limit order books. Exceptional graduates with relevant internships at top firms may also be considered. Strong Python skills and familiarity with SQL. Excellent problem-solving and quantitative analysis abilities. Clear communication skills. Flexibility to take on a variety of tasks as needed. Nice to Have Background in the cryptocurrency sector (especially delta-1), ideally at a leading firm. Benefits Bupa health and dental coverage, Cycle to Work scheme, enhanced pension plan, and at least 25 days of annual leave. Enhanced parental leave, special leave options, and charitable contribution programs. Competitive bonus structure. Regular team-building events and activities.

Queueco is seeking a skilled Quantitative Developer with a focus on High-Frequency Trading (HFT) to become a vital member of our compact team. In this pivotal role, you will be key in the design, enhancement, and optimization of our trading engines and systems, ensuring they excel in performance and efficiency.Your collaboration with traders and researchers will be crucial in comprehending exchange architectures, protocols, market data, and order entry APIs. Your ability to translate this knowledge into our low-latency solutions will enable us to trade profitably on major exchanges. This position demands a strong focus, impeccable attention to detail, outstanding programming capabilities, and ideally, a passion for financial markets.Please note that this is an onsite role; remote work options are not available.

Join our dynamic team at Legal & General as a Quantitative Analyst in London. In this pivotal role, you will leverage data-driven insights to enhance our investment strategies and drive informed decision-making. You will collaborate with cross-functional teams, applying your analytical skills to interpret complex financial data, optimizing our investment portfolio. If you're passionate about quantitative analysis and looking to make a significant impact, this is the opportunity for you!

Longshot Systems builds advanced platforms for sports betting analytics and trading. The team blends software engineering, machine learning, and expertise in sports markets to develop trading strategies for clients. Role overview The Sports Betting Trading Analyst joins the modeling team as a subject matter expert in sports and betting markets. This role works closely with software engineers and machine learning specialists to refine and improve trading strategies. Key responsibilities include monitoring client trading activity, analyzing historical trade data, and applying deep knowledge of the sports betting landscape to spot improvements and value leaks in both current and new strategies. What you will do Work with engineers and machine learning specialists to enhance trading strategies Analyze historical trades and client activity to identify areas for improvement Apply expertise in sports and betting markets to find value opportunities and leaks Use data analysis tools, especially Python and Jupyter notebooks, to extract insights Engage with a wide range of sports from a betting perspective Requirements Strong passion for sports and sports betting, ideally with experience as a professional bettor Deep understanding of betting exchanges, prediction markets, and sharp bookmakers, including US and Asian markets Proficiency with Jupyter notebooks and data analysis in Python Strong numerical skills and a solid background in statistics Interest in following a broad range of sports, especially through the lens of betting Working arrangements This position follows a hybrid working model. Thursdays require in-person attendance at the London (Farringdon) office, while the rest of the week offers flexibility. Core hours are 10 am to 6 pm UK time, Monday through Friday, with support for flexible working to help the team meet goals. The role often benefits from engagement during sporting events, and tools are available to review games outside regular hours. Interview process Introductory call (30 minutes) to discuss background and interests First technical interview (90 minutes) for an in-depth discussion of experience Comprehensive assessment day (10:00 am - 6:00 pm) on-site, focused on data analysis using Python to generate insights