Senior Quantitative Researcher - Systematic Equities

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 inno…

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 Graham Capital Management as an AI / ML Quantitative Research Manager and lead innovative research initiatives that leverage artificial intelligence and machine learning techniques. Your expertise will be pivotal in developing advanced models to enhance investment strategies and optimize trading performance.The ideal candidate will thrive in a collaborative environment, contributing to the design and implementation of cutting-edge solutions that drive our success in the financial markets.

Join Vortexa as a Commercial Product Specialist focusing on Energy Commodities and Freight Analytics. In this dynamic role, you will leverage your analytical skills to enhance our product offerings and drive insights that inform our clients' decision-making processes. Collaborate with cross-functional teams to develop innovative solutions and contribute to the growth of our analytics platform.

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.

About the Role Jane Street is seeking enthusiastic Quantitative Researchers to join our dynamic team. In this role, you will collaborate closely with seasoned researchers to develop sophisticated models, strategies, and systems aimed at pricing and trading financial instruments. You will gain valuable insights into experiment design, dataset generation, time series analysis, feature engineering, and model building tailored for financial datasets. Our unique environment fosters collaboration between researchers, engineers, and traders, allowing for seamless interaction as we train models, architect systems, and execute trading strategies. With access to petabytes of data, a robust computing cluster featuring hundreds of thousands of cores, and an expanding GPU cluster housing tens of thousands of high-performance GPUs, you will engage in a wide range of activities—from analyzing market data and optimizing hyperparameters to debugging distributed training performance and evaluating our models' trading behavior in real-time. At Jane Street, we embrace diverse modeling approaches, prioritizing the application of various statistical and machine learning techniques, from linear models to deep learning, depending on the challenge at hand. Our most successful researchers possess a keen curiosity about how their contributions integrate into our broader trading operations and how to translate their findings into actionable strategies.

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.

At Ripple, we are innovating a world where the movement of value mirrors the flow of information. Our mission is audacious, and we are already making strides. With our cryptocurrency solutions tailored for financial institutions, businesses, governments, and developers, we are reshaping the global financial landscape to foster greater economic fairness and opportunities for individuals across the globe. Join us in an environment that promotes career growth and allows you to excel alongside a supportive team.If you are eager to see your contributions come to life and unlock remarkable career advancement, we invite you to join us and create tangible value in the real world.THE WORK:We are on the lookout for a skilled Lead Technical Recruiter with a meticulous approach and a comprehensive understanding of the quantitative field. As part of our vibrant team, you will play a pivotal role in attracting top-tier talent essential for our rapid growth and algorithmic advancements. You will manage the recruiting process for specialized Quantitative Engineers and Researchers, collaborating closely with hiring managers to identify and recruit the brightest mathematical and technical minds.In this position, you will be instrumental in shaping Ripple's future by working alongside our Talent Acquisition team to design and execute an advanced recruiting strategy that aligns with our organizational goals, all while ensuring an outstanding candidate experience for high-caliber talent. Join us in transforming the landscape of global payments through trailblazing engineering!

QUANTITATIVE RESEARCHER (EMEA)About KeyrockEstablished in 2017, Keyrock is a premier digital asset market maker, boasting a diverse team of over 200 professionals from 42 nationalities. We operate across more than 80 exchanges and manage desks in market making, options, OTC, and DeFi. Known for our technology-driven approach, our Rust-based trading systems are at the forefront of shaping the future of digital asset markets.The OpportunityKeyrock is expanding its Algorithmic Market Making (MM) desk, and we are on the lookout for a skilled Quantitative Researcher located in Europe (with the possibility for remote work) to enhance our team’s profitability. This is a unique opportunity to channel your enthusiasm for markets and innovative problem-solving into the dynamic realm of high-frequency systematic trading in cryptocurrencies. You will gain exposure to state-of-the-art trading strategies in a rapidly evolving market landscape, where complex challenges present opportunities for creative solutions.Key ResponsibilitiesConduct research to develop alpha-generating signals.Create statistical models and machine learning frameworks.Collaborate with developers and traders to implement strategies.Contribute to various aspects of the profit pipeline, including alpha generation, inventory management, risk management, execution, and strategy logic.Experience, Skills & QualificationsMinimum of 3 years of quantitative research experience within a high-frequency trading (HFT) or medium-frequency trading (MFT) systematic environment.An advanced degree in a quantitative discipline is preferred (e.g., Mathematics, Physics, Computer Science, Engineering).Proficient in Python with a proven record of research success.Demonstrates critical thinking and data-driven decision-making skills.Exhibits entrepreneurial drive.Familiarity with leading modeling and learning methodologies.Experience with the performance demands of HFT and understanding of system adaptations required for low latency competition.Experience in both traditional finance and cryptocurrency markets is highly advantageous.Exceptional communication skills and fluent in English to collaborate effectively.

Join Ansatz Capital as a Research Engineer, where you will engage in the innovative research, testing, and deployment of cutting-edge trading strategies. You will also play a critical role in designing and constructing the research infrastructure that enables the evaluation of various trading concepts.We seek candidates who are deeply passionate about strategy development, with a strong aptitude for quantitative problem-solving and a keen interest in uncovering and capitalizing on statistical patterns within the financial markets. Proficiency in Python is essential, as you will be responsible for implementing your insights effectively.Ideal candidates will possess robust software implementation skills and have a track record of developing high-performance code alongside user-friendly tools. Your ability to deliver functional software solutions rapidly and accurately will significantly enhance our quantitative research capabilities and broaden our trading strategy coverage.Our compensation package includes a competitive base salary, a discretionary performance bonus, and opportunities for participation in long-term incentive schemes.

Join our innovative team at Stage as a Principal Quantitative Engineer specializing in Advanced Business Frameworks (ABF). In this pivotal role, you will leverage your extensive expertise in quantitative analysis to drive strategic decisions and enhance our product offerings. Collaborate with cross-functional teams to develop cutting-edge solutions that meet the evolving needs of our clients.

Join Maven Securities Holding Ltd as a Quantitative Developer specializing in Systematic Equities Trading. In this dynamic role, you will leverage your expertise in Python to develop innovative trading strategies and robust quantitative models. Collaborate with a multidisciplinary team of traders and quants to enhance our trading platform and improve performance metrics.As a key contributor, you will engage in data analysis, algorithm development, and implementation of systematic trading strategies. Your insights will be critical in driving our trading operations and achieving competitive advantages in the market.

Join Squarepoint Capital as a Quantitative Developer specializing in High Performance Computing with expertise in Python. In this pivotal role, you will contribute to the development and optimization of advanced quantitative models, leveraging your technical skills to enhance performance in a fast-paced environment. Your work will directly influence trading strategies and investment decisions, making a significant impact on the firm's success.

At Fuse Energy, we are on an ambitious journey to revolutionize the renewable energy sector by delivering a terawatt of sustainable energy quickly and efficiently. Our innovative approach combines foundational scientific principles with state-of-the-art technology to create a vastly improved energy system. Having successfully secured $170 million in funding from notable investors such as Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and prestigious strategists including Nico Rosberg, co-founder of Solana, we are poised for rapid growth.We are crafting a comprehensive energy company that spans the full spectrum—from developing solar, wind, and hydrogen projects to engaging in real-time power trading and executing distributed energy installations. By selling directly to consumers, we eliminate intermediaries, reduce costs, and pass savings directly to our customers.In addition to this, we are developing the Energy Network: a decentralized platform of intelligent devices that rewards users with Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and aiding in grid stabilization. This network is essential for strengthening grid reliability—an important foundation for scaling AI data centers and other energy-intensive businesses.

Senior Quantitative Researcher - Options Market Making Maven Securities is a premier proprietary trading firm that invests internal capital across a range of strategies, including discretionary, systematic, and market-making. We specialize in Market Making strategies for listed Options and Futures on numerous global exchanges, where we are consistently ranked among the top three liquidity providers. Utilizing our cutting-edge ultra-low latency and high-performance trading platforms, we deliver top-tier pricing and liquidity to the markets we operate in. Our team of traders is dedicated to pioneering innovative solutions and advancing the frontiers of quantitative trading. We foster a culture of creativity and are driven to maximize opportunities while enhancing proven strategies. Our environment is designed to empower our team members, providing a collaborative and supportive space for success. The Role: As a Senior Quantitative Researcher, you will spearhead projects that significantly influence our trading performance. Collaborating with a diverse team of researchers and traders from various scientific disciplines and esteemed academic institutions, you will develop state-of-the-art real-time trading models and solutions tailored for low latency trading systems focused on exchange-traded options. You will share your expertise with fellow researchers, tackling complex projects that encompass option pricing, volatility modeling, algorithm design, and alpha research. What We’re Looking For: Advanced degree in applied mathematics, computer science, statistics, engineering, or physics. A PhD or a proven record of independent research is highly desirable. At least 3 years of experience in the financial sector, with a focus on electronic options trading. Proficiency in researching advanced algorithms, developing predictive models, and validating complex hypotheses using large datasets. A proactive mindset geared towards enhancing existing trading strategies and identifying new opportunities. A collaborative approach, effectively bridging the gap between developers and traders, ensuring that technical initiatives align with commercial objectives and the broader strategic vision. Why You Should Apply: Unique opportunity to assume significant responsibility within a rapidly growing global trading firm. Get deeply involved in decision-making processes that influence our trading strategies. Flexible research environment that allows for quick iterations on ideas and immediate visibility of your contributions.

Join our dynamic team as a Quantitative Researcher, where your expertise will be pivotal in developing alpha through systematic trading strategies. Collaborate with seasoned researchers, traders, and a highly skilled technology team within the fast-paced and innovative landscape of digital assets.Key Responsibilities:Utilize a scientific approach to design advanced investment models and uncover market behaviors.Leverage quantitative techniques, including machine learning, across diverse and innovative datasets.Formulate and evaluate complex investment strategies while developing algorithms for trading decisions.Assess investment model performance and behavior, striving for ongoing enhancements.Collaborate closely with our team of adept developers to transform investment models into executable code.

Join OakNorth, where we are dedicated to empowering the UK’s most ambitious businesses. Since our inception in 2015, we have successfully lent over $18 billion across the UK and US, contributing to the creation of more than 58,000 new homes and 36,000 new jobs, while supporting hundreds of thousands of personal savers, all driving growth in the UK economy.Our lending operations serve as the backbone of our growth strategy, further enhanced by our expanding services in Business Banking and Personal Savings. We are looking for a Senior Fullstack Engineer to lead our digital lending initiatives and quantitative modelling efforts.

We invite candidates to apply for the position that best aligns with their expertise. If we find a better fit for your profile, we will contact you about alternative opportunities. Position Overview: Conduct research utilizing statistical techniques, including time-series analysis, machine learning, and natural language processing to derive insights from data. Analyze extensive data sets employing advanced statistical and machine learning methodologies to uncover trading opportunities. Collaborate in developing statistical and machine learning tools to address complex data-related challenges across the organization. Typical Day: Engage in researching innovative statistical and machine learning techniques and exploring various datasets throughout the day. Present and discuss research findings with fellow researchers. Deploy and oversee models utilized for generating trading signals.

About Five RingsFive Rings is a renowned proprietary trading firm driven by the ambition to merge strategy, innovation, and technology to thrive in today's dynamic global markets. With offices strategically located in New York, Boca Raton, London, and Amsterdam, Five Rings engages in trading across a myriad of domestic and international markets, encompassing both established and niche sectors. Our team is dedicated to identifying new opportunities, rigorously analyzing their risks and rewards, and developing strategies and tools to capitalize on them.We foster an inclusive culture that promotes the exchange of knowledge and ideas among all departments within the firm.About the RoleAs a Quantitative Trader, you will be at the forefront of managing unique trading strategies in fast-paced live markets. You will adjust model parameters to align with current market conditions, execute trades based on model insights, and continuously integrate real-time feedback from market participants into your models through an iterative feedback loop.At Five Rings, we prioritize granting individuals significant responsibilities as soon as they demonstrate readiness. From your first day as a new Quant Trader (QT), you will gain exceptional hands-on experience both on the trading desk and in educational settings.New hires will collaborate closely with seasoned traders, analyzing risk and reward dynamics, exploring innovative strategies, and partnering with quants and software developers to enhance trading models.Quant Traders will have the autonomy to develop ideas and analyses independently, integrating them into our trading strategies and systems.About YouStrong quantitative focusAdept at thriving in a collaborative and fast-paced environmentQuick to learn and adaptIntellectually curiousDetail-oriented and meticulousProactive and self-motivatedWe encourage applicants to apply for multiple positions but strongly recommend focusing on your top choice.

Join a leading cloud-based fintech company at the forefront of automating the retail finance sector. Our client’s platform seamlessly integrates with numerous APIs, enhancing functionalities provided by third-party services such as credit agencies, identity verification, and banking solutions. With exceptional partnerships with the major six UK banks, they are dedicated to developing innovative systems alongside their in-house teams, incorporating the latest fintech advancements in the mortgage market, and fostering their proprietary intellectual property.In light of their remarkable success, we are seeking a talented Systems Analyst / Technical Business Analyst to join our team and contribute to pioneering cloud-based automation solutions tailored for retail financial businesses.