Sports Betting Trading Analyst at Longshot Systems | London

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.

Join Mustard Systems, where we harness the power of statistical modeling to analyze sports events, enabling accurate predictions of future outcomes. By leveraging our proprietary datasets, sophisticated statistical models, and custom software solutions, we aim to deliver precise forecasts in the world of sports.We prioritize speed and real-world impact over perfection in code. If you are an engineer who excels at rapid problem-solving and thrives in a flexible, outcome-oriented environment, you'll find a home with us.Your Role:Enhance our connections to new liquidity providers using advanced web scraping and reverse engineering techniques.Create and maintain low-latency, real-time data feeds to support trading strategies based on extracted data.Improve system visibility for teams to gain insights into integration challenges and enhancements.Our agile methodology allows us to adapt plans as new information and opportunities arise. Developers play a pivotal role, taking complete ownership of their software from design through development, testing, review, and production support.Key Responsibilities:Design and Implement Impactful Features: Develop features that align with our business objectives, ensuring high-quality code that delivers measurable value.Collaborate on Code Quality: Review and test peer code to uphold functionality, maintainability, performance, and quality standards.Production Support: Take charge of your team’s software in production, ensuring stability and prompt resolution of any issues.Cross-Team Collaboration: Partner with other development teams on cross-functional projects, working alongside traders and quants to devise the best solutions to real business challenges.Participate in Out-of-Hours Support for our Software Systems.Core Technology Stack:Languages: Python (3.10+), JavaScript/TypeScript for frontend tasks, and Go for select infrastructure.Tools: RabbitMQ and Kafka for messaging, PostgreSQL and Redis for data storage.Environment: Linux servers.Observability: OpenTelemetry, Prometheus, Grafana, and Zabbix.Required Qualifications:Solid experience in software development, particularly with Python.A degree in Computer Science or a related quantitative field from a recognized university.Excellent communication skills, enabling you to explain complex technical concepts to both technical and non-technical audiences.Strong decision-making skills, with an ability to make informed trade-offs in implementation and architectural decisions, balancing innovation with practicality.Experience with web scraping and related technologies is essential.

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!

Role Overview smartkarma seeks an Independent Quantitative Analyst in London. This role suits someone with a solid quantitative background who enjoys working autonomously. The main focus is on delivering clear, data-driven analyses for the investment community. What You Will Do Develop quantitative models and frameworks to inform investment decisions Produce independent analyses that support investors Apply quantitative expertise to address complex financial questions Who We’re Looking For Strong quantitative skills Experience building models for investment or financial analysis Comfort working independently and setting your own direction

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.

We invite you to apply to the position that aligns best with your skills and experience. Should our team determine you are a better fit for another role, we will reach out regarding that opportunity. Position Overview: We are seeking driven graduates or early career professionals passionate about finance and equipped with a background in computer science, engineering, mathematics, or other STEM disciplines to join our three-year Desk Quantitative Analyst program. Throughout this program, you will collaborate closely with seasoned Quantitative Researchers and Traders to adapt to the dynamic requirements of our trading desks. Enhance and maintain the codebase and configurations of strategies within our automated trading framework. Manage extensive datasets utilized for both research and operational purposes. Conduct live and historical monitoring of trading activities, including post-trade analyses and production reconciliations. Potential to transition into a Junior role in Quantitative Development or Quantitative Research, based on your individual performance. A Day in the Life of a Desk Quant Analyst: Before market opening, ensure all necessary data and processes are prepared for the trading day. During market hours, intermittently monitor the behavior and performance of strategies. Engage in various long-term projects aimed at expanding our systematic trading capabilities and ensuring their resilience.

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.

Role Overview Legal & General is seeking a Senior Quantitative Analyst in London. This role focuses on building advanced models, analyzing data, and interpreting quantitative results to support senior management decisions across business initiatives. What You Will Do Develop and maintain complex quantitative models for financial analysis. Perform in-depth data analysis to inform business strategy. Interpret quantitative findings and present insights to senior management. Work with cross-functional teams to ensure the accuracy of financial forecasts and risk assessments. Contribute expertise to optimize investment strategies and improve overall investment performance. Collaboration This position works closely with colleagues from various departments, supporting a shared goal of accurate forecasting and effective risk management.

We are seeking a driven and innovative Quantitative Developer who is enthusiastic about leveraging financial data to create impactful products for traders and researchers. At Intropic, you'll become an integral part of a dynamic fintech startup, where engineers tackle challenging, open-ended problems spanning research, data, and product development — we pride ourselves on our proactive approach, rather than just responding to JIRA tickets.In a typical week, you will engage in a variety of tasks including Python and SQL development, implementing infrastructure changes, enhancing features of financial data products, collaborating on strategic planning with team leads, and attending client meetings to communicate your work and gather valuable feedback. We are looking for someone who enjoys delivering production-grade code, thrives in uncertain environments, works closely with analysts and product teams, and takes pride in maintaining clean, well-tested systems that support actual trading and research workflows.At Intropic, we prioritize hiring the right individual over just a polished CV. If you are passionate about taking full ownership of projects and want to influence both product and research trajectories, we invite you to apply. This is a full-time position expected to commence in the first half of 2026.

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.

IMC Trading is seeking skilled quantitative researchers to craft advanced high to mid-frequency delta one trading strategies and predictive models for the Equities markets. If you are passionate about leveraging Machine Learning in trading to unlock substantial execution advantages and collaborating to elevate our firm to the forefront of the trading industry, then this opportunity is tailored for you. With a rich history of competitive advantages in market access, global presence, options expertise, and low latency, IMC has significantly benefited from the rapid advancements in Machine Learning. Our focus is on tackling some of the most compelling and transformative challenges in the trading landscape. At IMC, we believe in teamwork, open idea sharing, and collaboration across various disciplines, desks, and offices to drive success.

About YapilyAt Yapily, we are on a mission to redefine global interactions with financial value. We envision a world where financial friction is a thing of the past, empowering individuals and businesses to seamlessly access and transfer value.Our innovative open banking infrastructure is designed to facilitate rapid digital transformation for leading organizations like Adyen, Intuit QuickBooks, and Google. By offering services such as payment initiation, bank data access, and pre-built financial products, we enable businesses to innovate swiftly and expand the horizons of financial technology.As trailblazers in the open banking sector, we are committed to shaping the future of finance through unparalleled expertise and a steadfast dedication to innovation.Position OverviewAs we expand our operations and gear up for accelerated product-led growth, we seek a proactive and seasoned Business Systems Analyst. This hybrid position will blend project management and business analysis, focusing on enhancing our existing Open Banking PIS and AIS infrastructure. With our recent transition into the money flow and EMI regulation, you will play a crucial role in developing and improving various internal tools and platforms that ensure the efficient operation of our business.The ideal candidate will have experience in designing solutions for financial services in a dynamic environment, with exposure to Risk and Compliance management, Business Operations, and Treasury Management. You will thrive in collaborative settings and demonstrate a solutions-oriented attitude, comfortable in designing and implementing technology frameworks that support effective operations across multiple functions.Your strong communication skills will foster an environment where operational excellence is recognized and valued, and you will contribute to a collaborative, energetic team spirit.

About the Role At Jane Street, our quantitative traders excel in identifying market signals, analyzing and executing strategies, and constructing sophisticated quantitative models. You will conduct statistical analyses, build algorithmic trading systems, manage risk, and contribute to the development of new business initiatives. Our trading desks are integral to our collaborative and cooperative office culture. You will work closely with seasoned traders committed to mentoring and supporting our new team members. Through interactive, hands-on training, you’ll take on significant trading responsibilities within weeks to months of joining our team, complemented by a comprehensive year-long educational curriculum across the firm. At Jane Street, we intentionally blur the lines between research, technology, and trading. As our strategies become increasingly sophisticated, collaboration is vital to push the boundaries of what we can achieve. We leverage petabytes of data, operate a computing cluster with hundreds of thousands of cores, and maintain a growing GPU cluster featuring thousands of high-end GPUs. We embrace a diversity of statistical and machine learning techniques, from linear models to deep learning, tailored to fit the specific challenges we face.

Graham Capital Management, L.P. ("Graham") is a premier alternative investment firm established in 1994 by Kenneth G. Tropin. With a focus on discretionary and quantitative macro strategies, Graham is committed to generating robust, uncorrelated returns across diverse market conditions. As one of the longest-standing managers in the global macro and trend-following space, Graham continuously innovates, adapting its strategies through a sophisticated investment, technology, and operational framework. By leveraging the interplay between its discretionary and quantitative trading operations, Graham provides a comprehensive suite of complementary alpha strategies, all grounded in prudent portfolio construction, proactive risk management, and intentional diversification.The cornerstone of Graham’s sustainability and success lies in the expertise and contributions of its team. The firm is dedicated to nurturing talent, promoting a diversity of perspectives, and valuing the input of all team members. Consequently, every employee plays a crucial role in empowering their colleagues.DescriptionGraham Capital Management, L.P. is excited to welcome a Quantitative Research Analyst to our Quantitative Strategies team, reporting directly to a Quantitative Research Manager. The successful candidate will be instrumental in researching and enhancing our current trading systems while developing new systematic trading signals designed to complement and diversify our core strategies. By employing advanced quantitative analysis, risk management, and portfolio optimization techniques, this role aims to maximize performance and maintain a competitive edge.

Quantitative Analyst Intern - CryptoJoin our dynamic Strategic Market Making team at Keyrock, where we leverage innovative strategies to navigate the ever-evolving landscape of digital asset markets.As a Quantitative Analyst Intern, you will engage in cutting-edge analysis and optimization of our market strategies across various centralized and decentralized exchanges (CEXs and DEXs). Your role will be pivotal in identifying and capitalizing on unique market opportunities arising from new token launches, liquidity programs, and incentive structures.Be part of a forward-thinking team that is unencumbered by traditional obligations, allowing for rapid strategy iteration and effective capital allocation. You will also play a key role in our expansion into the Perpetual DEX ecosystem, merging traditional finance insights with decentralized finance innovations.

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.

About Man GroupMan Group is a premier global alternative investment management firm dedicated to delivering superior performance for discerning clients through our Systematic, Discretionary, and Solutions services. Leveraging our expertise and cutting-edge technology, our investment strategies encompass both single and multi-manager approaches, backed by rigorous research and covering public and private markets across all major asset classes, particularly in alternatives. Our partnership philosophy enables us to forge deep relationships with clients, tailoring solutions to meet their investment objectives and serve the needs of millions of retirees and savers.Headquartered in London, we manage assets worth $227.6 billion and operate from various locations worldwide. Man Group plc is publicly traded on the London Stock Exchange under the ticker EMG.LN and is part of the FTSE 250 Index. For more information, please visit www.man.com.* As of 31 December 2025The Team:The AHL Macro team specializes in Macro strategies, systematically trading liquid futures and foreign exchange with holding periods that vary from monthly to intraday.

Join Kpler as a Quantitative Freight Analyst specializing in Dry Bulk. In this role, you will analyze market trends, build quantitative models, and provide insights to optimize freight operations. You will collaborate with a dynamic team and leverage data to support decision-making processes in the shipping industry.

The Opportunity Quantitative Analyst - Transforming the Future of Sports Betting Join our innovative team and redefine the landscape of sports betting! We are on the lookout for a passionate and creative Quantitative Analyst to craft and enhance state-of-the-art statistical models. In this pivotal role, you will significantly contribute to improving our market offerings and driving our growth in the fast-paced sports betting arena. Utilize your data science, machine learning, and AI expertise to develop models that forecast outcomes, manage risks, and unlock exciting opportunities in micro-markets and derivatives. Your Role Involves: Core Sports Betting Models: Construct and refine predictive models for match outcomes, leveraging advanced statistical techniques, machine learning algorithms, and AI methodologies. Player Statistics Models: Develop and sustain complex models that assess player performance and predict individual impacts, thereby creating thrilling new betting opportunities. Risk Management Models: Formulate and execute robust risk assessment models to optimize exposure and guarantee the enduring viability of our operations. Market Expansion: Assist in innovating market offerings, including derivatives and micro-markets, by generating the essential underlying models. Technology Modernization: Collaborate on modernizing our modeling technologies, exploring and adopting new tools and platforms to boost efficiency and scalability. Data-Driven Innovation: Engage in the development of new data-driven techniques, pushing the boundaries of what’s achievable in sports betting analytics. Data Collaboration: Partner with the data engineering team to enhance data storage and retrieval processes, ensuring smooth access to crucial information for model development. Data Acquisition: Identify and gather relevant data sources to support model development and enhancement. Knowledge Sharing: Clearly document model methodologies and effectively communicate intricate technical concepts to both technical and non-technical stakeholders across the organization. Performance Monitoring: Implement performance tracking systems to ensure models achieve desired outcomes and are continuously improved.