Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What you will do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed. Skills You'll Need: Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to thrive in a collaborative, team-oriented environment Ability to reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability required Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimisation (CUDA or ROCm) Experience with end-to-end model development Strong opinions on best practices in ML research, tooling, and/or infrastructure Benefits include: Private Medical, Vision and Dental Insurance Travel Medical Insurance Group Life Assurance and Income Protection Schemes Parking and Commuter Benefits Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge
Sep 14, 2026
Full time
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What you will do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed. Skills You'll Need: Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to thrive in a collaborative, team-oriented environment Ability to reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability required Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimisation (CUDA or ROCm) Experience with end-to-end model development Strong opinions on best practices in ML research, tooling, and/or infrastructure Benefits include: Private Medical, Vision and Dental Insurance Travel Medical Insurance Group Life Assurance and Income Protection Schemes Parking and Commuter Benefits Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What you will do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetisation process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed. Skills You'll Need: Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to thrive in a collaborative, team-oriented environment Ability to reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability required Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimisation (CUDA or ROCm) Experience with end-to-end model development Strong opinions on best practices in ML research, tooling, and/or infrastructure INTERNATIONAL STUDENTS are encouraged to apply. Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge
Sep 13, 2026
Full time
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What you will do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetisation process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed. Skills You'll Need: Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to thrive in a collaborative, team-oriented environment Ability to reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability required Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimisation (CUDA or ROCm) Experience with end-to-end model development Strong opinions on best practices in ML research, tooling, and/or infrastructure INTERNATIONAL STUDENTS are encouraged to apply. Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge
Maven Securities is seeking a standout Portfolio Manager to join its UK-based investment team in London. The role focuses on constructing a long-short portfolio of European SMID cap equities with disciplined risk controls. The candidate should demonstrate an original idea generation process, deep fundamental insight, and the ability to manage a portfolio independently within a collaborative team environment.
Sep 13, 2026
Full time
Maven Securities is seeking a standout Portfolio Manager to join its UK-based investment team in London. The role focuses on constructing a long-short portfolio of European SMID cap equities with disciplined risk controls. The candidate should demonstrate an original idea generation process, deep fundamental insight, and the ability to manage a portfolio independently within a collaborative team environment.
Jane Street is seeking smart, curious people to join our ML team and push the boundaries of trading models. You will train deep learning models powering our trading strategies while leveraging a large GPU cluster and distributed training workflows. Our team collaborates across researchers, engineers, and traders, and you will help shape the ML landscape here-exploring LLMs, image models, RL, and classical techniques. You'll also mentor teammates and present new ideas at conferences.
Sep 13, 2026
Full time
Jane Street is seeking smart, curious people to join our ML team and push the boundaries of trading models. You will train deep learning models powering our trading strategies while leveraging a large GPU cluster and distributed training workflows. Our team collaborates across researchers, engineers, and traders, and you will help shape the ML landscape here-exploring LLMs, image models, RL, and classical techniques. You'll also mentor teammates and present new ideas at conferences.
IMC is hiring a Principal Research Scientist to define and accelerate our long term machine learning research agenda. This role suits an established academic researcher who wants to stay connected to frontier ML while applying it to a highly impactful environment. You will collaborate with quantitative researchers, engineers and leadership to identify directions, evaluate developments, and translate advances into practical applications.
Sep 13, 2026
Full time
IMC is hiring a Principal Research Scientist to define and accelerate our long term machine learning research agenda. This role suits an established academic researcher who wants to stay connected to frontier ML while applying it to a highly impactful environment. You will collaborate with quantitative researchers, engineers and leadership to identify directions, evaluate developments, and translate advances into practical applications.
IMC is one of the world's leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. With access to world class datasets, significant compute resources and a highly collaborative environment, IMC offers a unique opportunity to see cutting edge research translated into real world impact. We are seeking a Principal Research Scientist to help define and accelerate our long-term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. Responsibilities Shape the long term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof of concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research direction. Help guide future investments in research tooling, infrastructure and compute capabilities. Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience in a faculty-equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist. Deep expertise in modern machine learning and strong awareness of emerging research trends. Experience influencing research direction, mentoring researchers, or leading research initiatives. Strong programming skills and experience with modern machine learning frameworks. Excellent communication skills and the ability to collaborate across disciplines. What We Offer The opportunity to influence the future of machine learning at one of the world's leading trading firms. Access to exceptional datasets, infrastructure and large scale compute resources. Continued engagement with the academic community through conferences, collaborations and publication opportunities. A collaborative environment where research can move rapidly from idea to impact. Competitive compensation that reflects both scientific excellence and commercial impact. About Us IMC is a global trading firm powered by a cutting edge research environment and a world class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed. For three decades IMC has provided liquidity to the financial markets globally. Specialised in algorithmic trading and advanced technology, we set the pace for the evolution of market making. Cutting edge
Sep 13, 2026
Full time
IMC is one of the world's leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. With access to world class datasets, significant compute resources and a highly collaborative environment, IMC offers a unique opportunity to see cutting edge research translated into real world impact. We are seeking a Principal Research Scientist to help define and accelerate our long-term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. Responsibilities Shape the long term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof of concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research direction. Help guide future investments in research tooling, infrastructure and compute capabilities. Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience in a faculty-equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist. Deep expertise in modern machine learning and strong awareness of emerging research trends. Experience influencing research direction, mentoring researchers, or leading research initiatives. Strong programming skills and experience with modern machine learning frameworks. Excellent communication skills and the ability to collaborate across disciplines. What We Offer The opportunity to influence the future of machine learning at one of the world's leading trading firms. Access to exceptional datasets, infrastructure and large scale compute resources. Continued engagement with the academic community through conferences, collaborations and publication opportunities. A collaborative environment where research can move rapidly from idea to impact. Competitive compensation that reflects both scientific excellence and commercial impact. About Us IMC is a global trading firm powered by a cutting edge research environment and a world class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed. For three decades IMC has provided liquidity to the financial markets globally. Specialised in algorithmic trading and advanced technology, we set the pace for the evolution of market making. Cutting edge
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one of the fastest and most comprehensive in the world-to develop and deploy algorithmic trading strategies based on patterns in market behavior. Responsibilities Designing, implementing, and deploying trading algorithms Researching high to mid frequency alphas Exploring trading ideas by analysing market data, market micro-structure and alternate data for patterns Creating tools to analyse data for patterns Contributing to libraries of analytical computations to support market data analysis and trading Developing, augmenting, and calibrating exchange simulators Qualifications A bachelors, masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree Experience in high-frequency trading or quantitative trading is preferred but not a requirement A strong background in mathematics and statistics Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data Familiarity with signal generation and statistical models Strong programming skills in Python and/or C++ Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch, and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together. Tower Research Capital is an equal opportunity employer. Tower Research Capital is a quantitative trading firm founded in 1998 by Mark Gorton. It builds technology and deploys automated trading strategies across a broad range of asset classes in
Sep 13, 2026
Full time
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one of the fastest and most comprehensive in the world-to develop and deploy algorithmic trading strategies based on patterns in market behavior. Responsibilities Designing, implementing, and deploying trading algorithms Researching high to mid frequency alphas Exploring trading ideas by analysing market data, market micro-structure and alternate data for patterns Creating tools to analyse data for patterns Contributing to libraries of analytical computations to support market data analysis and trading Developing, augmenting, and calibrating exchange simulators Qualifications A bachelors, masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree Experience in high-frequency trading or quantitative trading is preferred but not a requirement A strong background in mathematics and statistics Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data Familiarity with signal generation and statistical models Strong programming skills in Python and/or C++ Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch, and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together. Tower Research Capital is an equal opportunity employer. Tower Research Capital is a quantitative trading firm founded in 1998 by Mark Gorton. It builds technology and deploys automated trading strategies across a broad range of asset classes in