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Experience Level
Entry Level
About the job
asmpthk is looking for an intern to join the Learning & Development team in Hong Kong. This internship provides practical experience in supporting training programs and learning initiatives within a professional environment.
Main responsibilities
Assist in developing training materials such as e-learning modules, presentations, and handouts.
Coordinate logistics for training sessions and workshops, including scheduling, participant registration, and post-event follow-up.
Maintain accurate training records and update relevant databases.
Support the Learning Management System (LMS) by uploading courses and monitoring learner progress.
Contribute to additional tasks and projects as assigned by the team.
asmpthk is looking for an intern to join the Learning & Development team in Hong Kong. This internship provides practical experience in supporting training programs and learning initiatives within a professional environment. Main responsibilities Assist in developing training materials such as e-learning modules, presentations, and handouts. Coordinate logis…
asmhk is looking for a Learning & Development Intern based in Hong Kong. This internship offers hands-on experience supporting the L&D team with both training and administrative work. What you will do Help create and improve training materials, including e-learning content, presentations, and handouts. Assist with organizing training sessions and workshops, handling scheduling, participant registration, logistics, and post-event follow-up. Maintain accurate training records and update relevant databases for the L&D team. Support the Learning Management System by uploading courses and monitoring learner progress. Take on other tasks and projects assigned by your supervisor. Location This internship is based in Hong Kong.
About the Position At Jane Street, we aim to provide you with an authentic experience of what it’s like to work full-time as a Machine Learning Researcher, coupled with an unparalleled educational journey. Collaborate with seasoned ML Researchers on projects specifically chosen for their innovative ML concepts and their applicability to real-world systematic trading strategies. Engage in challenging classes and activities to deepen your understanding of market dynamics while honing your skills in utilizing established methods alongside our unique approaches to train effective models. Our environment blurs the lines between research, technology, and trading. As our strategies evolve in complexity, collaborative efforts are crucial for pushing the limits of possibility. We operate with petabytes of data, leveraging a computing cluster with hundreds of thousands of cores, and a growing GPU cluster featuring tens of thousands of high-performance GPUs. The nature of trading introduces unique challenges, such as large models and nonstationary datasets in a competitive multi-agent landscape, prompting us to explore innovative techniques. During your internship, you will primarily focus on projects in close partnership with experienced ML Researchers at Jane Street. You may conduct comprehensive studies of untapped datasets, experiment with new modeling paradigms for complex issues, or explore pioneering approaches that are still in development. The problems we tackle often lack clear-cut solutions and require insights from colleagues across diverse expertise areas. Tasks may include delving into market data, tuning hyperparameters, troubleshooting training challenges, or analyzing model predictions. Please note that due to the IP-sensitive nature of our machine learning research, it is unlikely that any findings from the internship will be suitable for external academic publication. About You If you haven't considered a career in finance before, you're not alone; many of us were in the same position before joining. If you possess a curious mind and a passion for tackling intriguing problems, you will likely thrive in our environment. Ideal candidates should be: A PhD student or postdoc engaged in empirical ML research, or possess equivalent research experience. Interested in applying logical and mathematical reasoning to diverse problems. Curious about the machine learning landscape and eager to apply cutting-edge techniques from various domains. Proficient with a broad range of models and methodologies. Capable of rapidly implementing and iterating your ideas using Python and your preferred ML framework. Keen to ask questions and explore solutions collaboratively.
About the Position Join Jane Street as a Quantitative Researcher Intern and immerse yourself in a unique educational experience that offers insight into the world of quantitative finance. You will collaborate closely with seasoned Quantitative Researchers to uncover market signals, analyze extensive datasets, develop and validate models, and innovate new trading strategies. At Jane Street, we intentionally blur the lines between research, technology, and trading. As our strategies evolve, collaboration becomes crucial in pushing the limits of financial possibilities. Our work involves managing petabytes of data, utilizing a computing cluster with hundreds of thousands of cores, and accessing a GPU cluster with tens of thousands of high-performance GPUs. We embrace a diverse range of statistical and machine learning techniques—from linear models to deep learning—tailored to the specific challenges we face. Throughout your internship, you will engage in hands-on projects that stem from the work of our full-time researchers. This will provide you with a comprehensive understanding of the various challenges we tackle daily, including experimental design, dataset generation, time series analysis, feature engineering, and model construction for financial datasets. Coupled with your project work, you'll participate in classes covering fundamental market and trading principles, lunch seminars, and activities designed to give you a holistic view of the trading strategy development process—from initial exploration to operationalizing a signal. About You We welcome individuals from diverse backgrounds, including those who may not have previously considered a career in finance. While many candidates possess experience in data science or machine learning, we prioritize your critical thinking and learning ability over your current knowledge. Ideal candidates should: Exhibit logical and mathematical reasoning in problem-solving Demonstrate intellectual curiosity, a willingness to ask questions, acknowledge mistakes, and learn Be proficient in programming, particularly with Python Communicate clearly and collaborate effectively with colleagues from various fields Be fluent in English While most interns are current undergraduate or graduate students, we also encourage applications from recent graduates exploring new opportunities in finance. Previous research experience is a plus.
About the Position At Jane Street, we aim to provide you with an authentic experience of what it means to be a quantitative trader, paired with an exceptional educational opportunity. You will collaborate with seasoned quantitative traders who will guide you in recognizing market signals, analyzing and executing strategies, developing quantitative models, performing statistical analyses, and cultivating trading intuition. Your journey will involve close collaboration with two mentors on projects that reflect their everyday responsibilities, allowing you to experience the diverse challenges we tackle daily. Previous projects have encompassed analyzing new or existing datasets, training predictive models, simulating innovative trading strategies, crafting tools for production use, and exploring significant questions that remain unresolved. This hands-on experience is complemented by intensive classes, workshops, and team-based mock trading sessions. These activities will expose you to the dynamics we encounter in actual markets, highlight our role in enhancing market efficiency, and foster your understanding of trading and teamwork. At Jane Street, we intentionally blur the lines between research, technology, and trading. As we develop increasingly sophisticated strategies, close collaboration is vital in pushing the limits of what’s achievable. We handle petabytes of data, utilize a computing cluster with hundreds of thousands of cores, and maintain a growing GPU cluster with thousands of high-performance GPUs. We believe in tailored modeling solutions and are enthusiastic about applying various statistical and machine learning techniques, from linear models to deep learning, depending on the specific challenge. As a quantitative trading intern, you will also have the chance to engage in one elective tailored to your interests. These electives comprise specialized classes and immersive activities designed to offer you an in-depth perspective on various facets of quantitative trading at Jane Street: Machine Learning, Modeling, and Data Science You will discover how Jane Street employs advanced machine learning and statistical methods to create models and predictions with extensive datasets of both real and simulated market data. You’ll learn to train and utilize various machine learning models while understanding the distinctions between theoretical machine learning and its application to intricate financial data. Algorithmic Trading and Market Microstructure You will explore the complete process of developing an algorithmic trading strategy, analyzing market data to establish a tradable fair value and more.
About the Program At Jane Street, we offer internships focused on immersive mentorship and a comprehensive educational framework that includes rigorous classes, engaging discussions, and collaborative sessions. Over a span of 10-12 weeks, you will be paired with experienced employees who will guide you through real-world projects. Additionally, you will have access to our office facilities, the opportunity to attend guest lectures and social events, and gain a genuine understanding of what it’s like to work here full-time. If you’ve never considered a career in finance, you’re not alone—many of us were in the same boat before joining the team. If you possess a curious mindset, a collaborative spirit, and a passion for solving intriguing challenges, we believe you’ll thrive here. About the Position Strategy and Product (SP) Interns are adaptable generalists who apply analytical and strategic thinking to address Jane Street’s most significant challenges. They navigate across various teams as firm priorities shift, gaining a holistic perspective of our operations while fostering cross-functional growth. As an SP Intern, you will engage in projects that blend strategic thinking with meticulous analytical problem-solving. You will learn to deconstruct complex issues into actionable plans, leverage data to guide decisions, and develop frameworks to address business inquiries. This practical experience will provide you with keen insights into how SPs spearhead strategic initiatives across the company and what a career in SP entails. The interview process for SP Interns in Hong Kong includes an online assessment, a video interview, and a series of final virtual interviews. To explore more, check out our Strategy and Product program and interview process. You can also learn more about Jane Street’s internship program.
Engage in the design, development, and testing of cutting-edge motion control systems.Create software and embedded solutions according to specified requirements.
About the Position We are seeking intelligent and inquisitive individuals from both industry and academia to join our expanding Machine Learning team. In this role, you will have the opportunity to develop deep learning models that drive our innovative trading strategies, leveraging our rapidly expanding computing cluster equipped with tens of thousands of high-performance GPUs. The trading landscape presents unique challenges—such as large models and dynamic datasets within a competitive multi-agent environment—that inspire us to explore cutting-edge techniques. Our team consists of researchers, engineers, and traders collaborating closely in a dynamic environment to train models, design systems, and implement trading strategies. On any given day, we might be delving into market data, fine-tuning hyperparameters, troubleshooting distributed training performance, or analyzing our model's trading behavior in real-time. Your extensive knowledge of the machine learning landscape and understanding of various methodologies—including large language models (LLMs), vision models, reinforcement learning agents, recommendation systems, and traditional ML techniques—will be instrumental in shaping the future of ML at Jane Street. You will be responsible for training models that underpin the next generation of our deep learning-based trading strategies and enhancing our foundational understanding to navigate new markets and challenges. Additionally, you will play a key role in recruiting new team members, attending conferences, and sharing your expertise with colleagues—all of which we value highly in this position.
At Jump Trading Group, we are dedicated to pioneering research and fostering exceptional talent in Mathematics, Physics, and Computer Science. Our mission is to explore scientific frontiers, innovate relentlessly, and apply cutting-edge research to the global financial markets. Our unique culture thrives on creativity, intellectual honesty, and a strong competitive spirit. We believe in collective success and unlocking individual potential through collaboration and mutual respect. Our research outcomes extend beyond superior risk-adjusted returns; we develop transformative technologies, support diverse start-ups, and collaborate with leading global research organizations and universities to tackle complex challenges.We are excited to announce the expansion of our successful global equity statistical arbitrage business with the formation of a new team of quantitative researchers and developers in Hong Kong. As a Quantitative Developer, you will work closely with researchers and engineers to design, build, and maintain the team's research infrastructure and production systems. You will collaborate with quantitative researchers to enhance research, develop trading infrastructure, improve production system scalability, and troubleshoot issues. We are seeking an individual who thrives on tackling open-ended problems and taking ownership of their solutions. Be part of an innovative team leveraging state-of-the-art technology and data, all within a collaborative environment that offers numerous opportunities for professional growth.
At Jump Trading Group, we are dedicated to pioneering world-class research in the financial markets. We invite exceptional talents in Mathematics, Physics, and Computer Science to explore scientific boundaries, break through them, and apply innovative research to global trading environments. Our unique culture fosters constant innovation, demanding fearlessness, creativity, intellectual integrity, and a relentless competitive spirit. We believe in collective success and in maximizing individual strengths through collaboration and mutual respect. At Jump, our research initiatives not only aim for superior risk-adjusted returns but also drive the development of transformative technologies, support start-ups across various sectors, and collaborate with leading research institutions and universities to tackle complex challenges.Our trading teams consist of dynamic traders, quantitative researchers, and engineers who collaborate to analyze global markets, striving to comprehend the intricacies of diverse traded products and exchanges. Leveraging exceptional statistical analysis and data mining skills, they utilize their research outcomes to forecast trends and create profitable predictive trading models.
Join Animoca Brands, a distinguished leader in the Web3 space, as an IAP Intern. As a full-time intern, you will be part of a revolutionary company recognized by Deloitte as a Tech Fast winner, and featured in Fortune's Crypto 40 and the Financial Times’ High Growth Companies Asia-Pacific 2023. Our mission is to empower individuals with digital property rights through blockchain technology while building an open metaverse. You'll gain hands-on experience working on our diverse portfolio of products, including Anichess, The Sandbox, PHANTOM GALAXIES™, and many others. Explore exciting projects like Mocaverse, our platform designed to enhance Web3 experiences. Connect with our vibrant community and immerse yourself in the future of gaming and digital assets. For more information about us, visit www.animocabrands.com or follow us on X (Twitter), YouTube, Instagram, and LinkedIn.
Contribute to the design and testing of innovative analog and digital electronic circuits, enhancing your practical experience in the field.Assist in the development of PCB schematics and layouts under the mentorship of experienced engineers.Support the development and testing of FPGAs, microcontrollers, or embedded systems to broaden your technical skills.Engage in debugging and troubleshooting electronic circuits and systems using advanced lab equipment such as oscilloscopes, multimeters, and logic analyzers.Collaborate with firmware, mechanical, and software teams to facilitate seamless system integration.Contribute to documentation, including test reports and engineering change records, to enhance your professional writing skills.Learn and adhere to industry standards and compliance requirements, including CE and EMC standards, to ensure safety in engineering practices.
Join Turnertownsend as a Summer Intern in Project Management for 2026! This is an exciting opportunity for individuals looking to gain hands-on experience in managing projects while working in a vibrant and fast-paced environment. You will collaborate with experienced professionals, participate in team meetings, and contribute to projects that make a real impact.
Join the prestigious 2027 Point72 Academy Investment Analyst Summer Internship Program in Hong Kong, where you'll gain invaluable insights into the world of finance and investment. This immersive internship is designed for ambitious individuals eager to learn from industry leaders and develop their skills in a dynamic environment.As a Summer Intern, you will work closely with experienced analysts, engage in real-world investment projects, and participate in training sessions that will enhance your analytical and decision-making abilities. This is an exceptional opportunity to kickstart your career in investment management.
Contribute to the design and development of precision mechanical modules utilized in semiconductor equipment.Engage in requirements analysis to meet customer specifications.Assist in generating innovative ideas and validating them through methodologies such as Force Analysis, Thermal Simulation Analysis, Vibration Simulation, and Module Life Time Estimation.Support the selection of solutions, material handling, and tooling design processes.Prepare detailed 3D engineering designs and conduct model analyses under the mentorship of experienced engineers.Participate in ongoing design improvement initiatives focused on Design for Manufacturing Equipment.
Internship|On-site|Hong Kong, Hong Kong SAR (see also separate country code entry under HK), China
Join our vibrant team at Tea Château as a Digital Marketing Intern! In this exciting part-time internship, you will play a crucial role in enhancing our business operations through effective digital marketing and social media management.Your Role:Develop, schedule, and publish engaging content across various social media platforms like Instagram and Facebook, including graphic and video editing.Conduct comprehensive market research to uncover trends and insights that can drive our marketing strategies.Track and analyze social media trends, audience engagement, and performance metrics.Interact with our followers, respond to comments, and foster a vibrant online community.Compile social media performance reports and provide actionable insights to enhance engagement and reach.Assist the team in organizing promotional events and campaigns to elevate our brand presence.
About the PositionJoin CertiK as a Business Development Intern and become a key player in our mission to secure the blockchain ecosystem. As a CertiK Ambassador, you will engage with partners, develop strategies, and help promote our suite of innovative blockchain security tools. This is an excellent opportunity for individuals looking to kickstart their careers in the blockchain industry, working alongside leading experts.
Join Hassell Services as an Interior Design Intern and immerse yourself in a dynamic and innovative environment where creativity meets functionality. This internship offers you the opportunity to work alongside experienced professionals on exciting projects, contributing to the design and implementation of unique interior spaces.
Join our dynamic Machine Learning (ML) team at Jane Street, where we seek an experienced engineer with a solid background in machine learning and strong mathematical skills. You will play a key role in shaping the future of our ML platform. At Jane Street, machine learning is an essential part of our global operations. Our fast-paced trading environment serves as a unique platform for ML experimentation, enabling us to swiftly implement innovative ideas with minimal barriers. Our team is composed of passionate individuals who appreciate software engineering and are dedicated to creating user-friendly APIs and systems. Your extensive knowledge of the ML ecosystem and familiarity with various methodologies—such as neural networks, random forests, gradient-boosted trees, or advanced ensemble methods—will be crucial in guiding our decision-making processes to select the appropriate tools for specific challenges. Additionally, you will focus on optimizing research workflows to enhance our feedback loops. Successful candidates will be adept at understanding the mechanics of different modeling techniques and will possess the ability to articulate the underlying mathematics. If you have previously considered a career in finance, you'll find many colleagues who were in the same position before joining us. While we do not have a stringent list of qualifications, a curious mindset and a passion for solving complex problems will help you thrive in our environment.
About the Position Join our dynamic team at Jane Street as we seek innovative and intellectually driven individuals to enhance our machine learning initiatives. Within our Machine Learning team, you will develop deep learning models that fuel our trading strategies, leveraging our extensive computing cluster equipped with thousands of high-performance GPUs. The trading environment presents unique challenges, including large-scale models and nonstationary datasets in a highly competitive, multi-agent setting, which compels us to explore cutting-edge techniques. At Jane Street, our researchers, engineers, and traders collaborate closely, allowing for real-time interaction as we train models, design systems, and implement trading strategies. Our daily tasks may include analyzing market data, optimizing hyperparameters, debugging distributed training performance, or examining our model's trading behavior in live settings. Your profound understanding of the machine learning landscape and various methodologies—including LLMs, image models, reinforcement learning agents, recommendation systems, or classical machine learning techniques—will be crucial in shaping the future of ML at Jane Street. You will be instrumental in training models for our next-generation deep learning-driven trading strategies and establishing the foundational knowledge necessary to navigate new markets and scenarios. Additionally, you will play a key role in recruiting new team members, participating in conferences, and sharing your expertise with colleagues—all significant and valued aspects of your role. About You No prior experience in finance is required—many of our team members came from similar backgrounds. If you possess a curious mindset and a passion for tackling intriguing challenges, you will likely thrive here. While we do not seek a specific skill set, you should bring: Practical experience in addressing empirical machine learning challenges Strong logical and mathematical reasoning skills applicable to diverse problems A genuine intellectual curiosity and enthusiasm for cutting-edge research across various ML domains Proficiency in a diverse range of models and techniques Hands-on coding ability to swiftly implement and iterate on your concepts using Python and your preferred ML framework A willingness to ask questions, acknowledge mistakes, and embrace learning opportunities Fluency in English To delve deeper, feel free to explore our interview process and meet some of the team.
asmpthk is looking for an intern to join the Learning & Development team in Hong Kong. This internship provides practical experience in supporting training programs and learning initiatives within a professional environment. Main responsibilities Assist in developing training materials such as e-learning modules, presentations, and handouts. Coordinate logis…
asmhk is looking for a Learning & Development Intern based in Hong Kong. This internship offers hands-on experience supporting the L&D team with both training and administrative work. What you will do Help create and improve training materials, including e-learning content, presentations, and handouts. Assist with organizing training sessions and workshops, handling scheduling, participant registration, logistics, and post-event follow-up. Maintain accurate training records and update relevant databases for the L&D team. Support the Learning Management System by uploading courses and monitoring learner progress. Take on other tasks and projects assigned by your supervisor. Location This internship is based in Hong Kong.
About the Position At Jane Street, we aim to provide you with an authentic experience of what it’s like to work full-time as a Machine Learning Researcher, coupled with an unparalleled educational journey. Collaborate with seasoned ML Researchers on projects specifically chosen for their innovative ML concepts and their applicability to real-world systematic trading strategies. Engage in challenging classes and activities to deepen your understanding of market dynamics while honing your skills in utilizing established methods alongside our unique approaches to train effective models. Our environment blurs the lines between research, technology, and trading. As our strategies evolve in complexity, collaborative efforts are crucial for pushing the limits of possibility. We operate with petabytes of data, leveraging a computing cluster with hundreds of thousands of cores, and a growing GPU cluster featuring tens of thousands of high-performance GPUs. The nature of trading introduces unique challenges, such as large models and nonstationary datasets in a competitive multi-agent landscape, prompting us to explore innovative techniques. During your internship, you will primarily focus on projects in close partnership with experienced ML Researchers at Jane Street. You may conduct comprehensive studies of untapped datasets, experiment with new modeling paradigms for complex issues, or explore pioneering approaches that are still in development. The problems we tackle often lack clear-cut solutions and require insights from colleagues across diverse expertise areas. Tasks may include delving into market data, tuning hyperparameters, troubleshooting training challenges, or analyzing model predictions. Please note that due to the IP-sensitive nature of our machine learning research, it is unlikely that any findings from the internship will be suitable for external academic publication. About You If you haven't considered a career in finance before, you're not alone; many of us were in the same position before joining. If you possess a curious mind and a passion for tackling intriguing problems, you will likely thrive in our environment. Ideal candidates should be: A PhD student or postdoc engaged in empirical ML research, or possess equivalent research experience. Interested in applying logical and mathematical reasoning to diverse problems. Curious about the machine learning landscape and eager to apply cutting-edge techniques from various domains. Proficient with a broad range of models and methodologies. Capable of rapidly implementing and iterating your ideas using Python and your preferred ML framework. Keen to ask questions and explore solutions collaboratively.
About the Position Join Jane Street as a Quantitative Researcher Intern and immerse yourself in a unique educational experience that offers insight into the world of quantitative finance. You will collaborate closely with seasoned Quantitative Researchers to uncover market signals, analyze extensive datasets, develop and validate models, and innovate new trading strategies. At Jane Street, we intentionally blur the lines between research, technology, and trading. As our strategies evolve, collaboration becomes crucial in pushing the limits of financial possibilities. Our work involves managing petabytes of data, utilizing a computing cluster with hundreds of thousands of cores, and accessing a GPU cluster with tens of thousands of high-performance GPUs. We embrace a diverse range of statistical and machine learning techniques—from linear models to deep learning—tailored to the specific challenges we face. Throughout your internship, you will engage in hands-on projects that stem from the work of our full-time researchers. This will provide you with a comprehensive understanding of the various challenges we tackle daily, including experimental design, dataset generation, time series analysis, feature engineering, and model construction for financial datasets. Coupled with your project work, you'll participate in classes covering fundamental market and trading principles, lunch seminars, and activities designed to give you a holistic view of the trading strategy development process—from initial exploration to operationalizing a signal. About You We welcome individuals from diverse backgrounds, including those who may not have previously considered a career in finance. While many candidates possess experience in data science or machine learning, we prioritize your critical thinking and learning ability over your current knowledge. Ideal candidates should: Exhibit logical and mathematical reasoning in problem-solving Demonstrate intellectual curiosity, a willingness to ask questions, acknowledge mistakes, and learn Be proficient in programming, particularly with Python Communicate clearly and collaborate effectively with colleagues from various fields Be fluent in English While most interns are current undergraduate or graduate students, we also encourage applications from recent graduates exploring new opportunities in finance. Previous research experience is a plus.
About the Position At Jane Street, we aim to provide you with an authentic experience of what it means to be a quantitative trader, paired with an exceptional educational opportunity. You will collaborate with seasoned quantitative traders who will guide you in recognizing market signals, analyzing and executing strategies, developing quantitative models, performing statistical analyses, and cultivating trading intuition. Your journey will involve close collaboration with two mentors on projects that reflect their everyday responsibilities, allowing you to experience the diverse challenges we tackle daily. Previous projects have encompassed analyzing new or existing datasets, training predictive models, simulating innovative trading strategies, crafting tools for production use, and exploring significant questions that remain unresolved. This hands-on experience is complemented by intensive classes, workshops, and team-based mock trading sessions. These activities will expose you to the dynamics we encounter in actual markets, highlight our role in enhancing market efficiency, and foster your understanding of trading and teamwork. At Jane Street, we intentionally blur the lines between research, technology, and trading. As we develop increasingly sophisticated strategies, close collaboration is vital in pushing the limits of what’s achievable. We handle petabytes of data, utilize a computing cluster with hundreds of thousands of cores, and maintain a growing GPU cluster with thousands of high-performance GPUs. We believe in tailored modeling solutions and are enthusiastic about applying various statistical and machine learning techniques, from linear models to deep learning, depending on the specific challenge. As a quantitative trading intern, you will also have the chance to engage in one elective tailored to your interests. These electives comprise specialized classes and immersive activities designed to offer you an in-depth perspective on various facets of quantitative trading at Jane Street: Machine Learning, Modeling, and Data Science You will discover how Jane Street employs advanced machine learning and statistical methods to create models and predictions with extensive datasets of both real and simulated market data. You’ll learn to train and utilize various machine learning models while understanding the distinctions between theoretical machine learning and its application to intricate financial data. Algorithmic Trading and Market Microstructure You will explore the complete process of developing an algorithmic trading strategy, analyzing market data to establish a tradable fair value and more.
About the Program At Jane Street, we offer internships focused on immersive mentorship and a comprehensive educational framework that includes rigorous classes, engaging discussions, and collaborative sessions. Over a span of 10-12 weeks, you will be paired with experienced employees who will guide you through real-world projects. Additionally, you will have access to our office facilities, the opportunity to attend guest lectures and social events, and gain a genuine understanding of what it’s like to work here full-time. If you’ve never considered a career in finance, you’re not alone—many of us were in the same boat before joining the team. If you possess a curious mindset, a collaborative spirit, and a passion for solving intriguing challenges, we believe you’ll thrive here. About the Position Strategy and Product (SP) Interns are adaptable generalists who apply analytical and strategic thinking to address Jane Street’s most significant challenges. They navigate across various teams as firm priorities shift, gaining a holistic perspective of our operations while fostering cross-functional growth. As an SP Intern, you will engage in projects that blend strategic thinking with meticulous analytical problem-solving. You will learn to deconstruct complex issues into actionable plans, leverage data to guide decisions, and develop frameworks to address business inquiries. This practical experience will provide you with keen insights into how SPs spearhead strategic initiatives across the company and what a career in SP entails. The interview process for SP Interns in Hong Kong includes an online assessment, a video interview, and a series of final virtual interviews. To explore more, check out our Strategy and Product program and interview process. You can also learn more about Jane Street’s internship program.
Engage in the design, development, and testing of cutting-edge motion control systems.Create software and embedded solutions according to specified requirements.
About the Position We are seeking intelligent and inquisitive individuals from both industry and academia to join our expanding Machine Learning team. In this role, you will have the opportunity to develop deep learning models that drive our innovative trading strategies, leveraging our rapidly expanding computing cluster equipped with tens of thousands of high-performance GPUs. The trading landscape presents unique challenges—such as large models and dynamic datasets within a competitive multi-agent environment—that inspire us to explore cutting-edge techniques. Our team consists of researchers, engineers, and traders collaborating closely in a dynamic environment to train models, design systems, and implement trading strategies. On any given day, we might be delving into market data, fine-tuning hyperparameters, troubleshooting distributed training performance, or analyzing our model's trading behavior in real-time. Your extensive knowledge of the machine learning landscape and understanding of various methodologies—including large language models (LLMs), vision models, reinforcement learning agents, recommendation systems, and traditional ML techniques—will be instrumental in shaping the future of ML at Jane Street. You will be responsible for training models that underpin the next generation of our deep learning-based trading strategies and enhancing our foundational understanding to navigate new markets and challenges. Additionally, you will play a key role in recruiting new team members, attending conferences, and sharing your expertise with colleagues—all of which we value highly in this position.
At Jump Trading Group, we are dedicated to pioneering research and fostering exceptional talent in Mathematics, Physics, and Computer Science. Our mission is to explore scientific frontiers, innovate relentlessly, and apply cutting-edge research to the global financial markets. Our unique culture thrives on creativity, intellectual honesty, and a strong competitive spirit. We believe in collective success and unlocking individual potential through collaboration and mutual respect. Our research outcomes extend beyond superior risk-adjusted returns; we develop transformative technologies, support diverse start-ups, and collaborate with leading global research organizations and universities to tackle complex challenges.We are excited to announce the expansion of our successful global equity statistical arbitrage business with the formation of a new team of quantitative researchers and developers in Hong Kong. As a Quantitative Developer, you will work closely with researchers and engineers to design, build, and maintain the team's research infrastructure and production systems. You will collaborate with quantitative researchers to enhance research, develop trading infrastructure, improve production system scalability, and troubleshoot issues. We are seeking an individual who thrives on tackling open-ended problems and taking ownership of their solutions. Be part of an innovative team leveraging state-of-the-art technology and data, all within a collaborative environment that offers numerous opportunities for professional growth.
At Jump Trading Group, we are dedicated to pioneering world-class research in the financial markets. We invite exceptional talents in Mathematics, Physics, and Computer Science to explore scientific boundaries, break through them, and apply innovative research to global trading environments. Our unique culture fosters constant innovation, demanding fearlessness, creativity, intellectual integrity, and a relentless competitive spirit. We believe in collective success and in maximizing individual strengths through collaboration and mutual respect. At Jump, our research initiatives not only aim for superior risk-adjusted returns but also drive the development of transformative technologies, support start-ups across various sectors, and collaborate with leading research institutions and universities to tackle complex challenges.Our trading teams consist of dynamic traders, quantitative researchers, and engineers who collaborate to analyze global markets, striving to comprehend the intricacies of diverse traded products and exchanges. Leveraging exceptional statistical analysis and data mining skills, they utilize their research outcomes to forecast trends and create profitable predictive trading models.
Join Animoca Brands, a distinguished leader in the Web3 space, as an IAP Intern. As a full-time intern, you will be part of a revolutionary company recognized by Deloitte as a Tech Fast winner, and featured in Fortune's Crypto 40 and the Financial Times’ High Growth Companies Asia-Pacific 2023. Our mission is to empower individuals with digital property rights through blockchain technology while building an open metaverse. You'll gain hands-on experience working on our diverse portfolio of products, including Anichess, The Sandbox, PHANTOM GALAXIES™, and many others. Explore exciting projects like Mocaverse, our platform designed to enhance Web3 experiences. Connect with our vibrant community and immerse yourself in the future of gaming and digital assets. For more information about us, visit www.animocabrands.com or follow us on X (Twitter), YouTube, Instagram, and LinkedIn.
Contribute to the design and testing of innovative analog and digital electronic circuits, enhancing your practical experience in the field.Assist in the development of PCB schematics and layouts under the mentorship of experienced engineers.Support the development and testing of FPGAs, microcontrollers, or embedded systems to broaden your technical skills.Engage in debugging and troubleshooting electronic circuits and systems using advanced lab equipment such as oscilloscopes, multimeters, and logic analyzers.Collaborate with firmware, mechanical, and software teams to facilitate seamless system integration.Contribute to documentation, including test reports and engineering change records, to enhance your professional writing skills.Learn and adhere to industry standards and compliance requirements, including CE and EMC standards, to ensure safety in engineering practices.
Join Turnertownsend as a Summer Intern in Project Management for 2026! This is an exciting opportunity for individuals looking to gain hands-on experience in managing projects while working in a vibrant and fast-paced environment. You will collaborate with experienced professionals, participate in team meetings, and contribute to projects that make a real impact.
Join the prestigious 2027 Point72 Academy Investment Analyst Summer Internship Program in Hong Kong, where you'll gain invaluable insights into the world of finance and investment. This immersive internship is designed for ambitious individuals eager to learn from industry leaders and develop their skills in a dynamic environment.As a Summer Intern, you will work closely with experienced analysts, engage in real-world investment projects, and participate in training sessions that will enhance your analytical and decision-making abilities. This is an exceptional opportunity to kickstart your career in investment management.
Contribute to the design and development of precision mechanical modules utilized in semiconductor equipment.Engage in requirements analysis to meet customer specifications.Assist in generating innovative ideas and validating them through methodologies such as Force Analysis, Thermal Simulation Analysis, Vibration Simulation, and Module Life Time Estimation.Support the selection of solutions, material handling, and tooling design processes.Prepare detailed 3D engineering designs and conduct model analyses under the mentorship of experienced engineers.Participate in ongoing design improvement initiatives focused on Design for Manufacturing Equipment.
Internship|On-site|Hong Kong, Hong Kong SAR (see also separate country code entry under HK), China
Join our vibrant team at Tea Château as a Digital Marketing Intern! In this exciting part-time internship, you will play a crucial role in enhancing our business operations through effective digital marketing and social media management.Your Role:Develop, schedule, and publish engaging content across various social media platforms like Instagram and Facebook, including graphic and video editing.Conduct comprehensive market research to uncover trends and insights that can drive our marketing strategies.Track and analyze social media trends, audience engagement, and performance metrics.Interact with our followers, respond to comments, and foster a vibrant online community.Compile social media performance reports and provide actionable insights to enhance engagement and reach.Assist the team in organizing promotional events and campaigns to elevate our brand presence.
About the PositionJoin CertiK as a Business Development Intern and become a key player in our mission to secure the blockchain ecosystem. As a CertiK Ambassador, you will engage with partners, develop strategies, and help promote our suite of innovative blockchain security tools. This is an excellent opportunity for individuals looking to kickstart their careers in the blockchain industry, working alongside leading experts.
Join Hassell Services as an Interior Design Intern and immerse yourself in a dynamic and innovative environment where creativity meets functionality. This internship offers you the opportunity to work alongside experienced professionals on exciting projects, contributing to the design and implementation of unique interior spaces.
Join our dynamic Machine Learning (ML) team at Jane Street, where we seek an experienced engineer with a solid background in machine learning and strong mathematical skills. You will play a key role in shaping the future of our ML platform. At Jane Street, machine learning is an essential part of our global operations. Our fast-paced trading environment serves as a unique platform for ML experimentation, enabling us to swiftly implement innovative ideas with minimal barriers. Our team is composed of passionate individuals who appreciate software engineering and are dedicated to creating user-friendly APIs and systems. Your extensive knowledge of the ML ecosystem and familiarity with various methodologies—such as neural networks, random forests, gradient-boosted trees, or advanced ensemble methods—will be crucial in guiding our decision-making processes to select the appropriate tools for specific challenges. Additionally, you will focus on optimizing research workflows to enhance our feedback loops. Successful candidates will be adept at understanding the mechanics of different modeling techniques and will possess the ability to articulate the underlying mathematics. If you have previously considered a career in finance, you'll find many colleagues who were in the same position before joining us. While we do not have a stringent list of qualifications, a curious mindset and a passion for solving complex problems will help you thrive in our environment.
About the Position Join our dynamic team at Jane Street as we seek innovative and intellectually driven individuals to enhance our machine learning initiatives. Within our Machine Learning team, you will develop deep learning models that fuel our trading strategies, leveraging our extensive computing cluster equipped with thousands of high-performance GPUs. The trading environment presents unique challenges, including large-scale models and nonstationary datasets in a highly competitive, multi-agent setting, which compels us to explore cutting-edge techniques. At Jane Street, our researchers, engineers, and traders collaborate closely, allowing for real-time interaction as we train models, design systems, and implement trading strategies. Our daily tasks may include analyzing market data, optimizing hyperparameters, debugging distributed training performance, or examining our model's trading behavior in live settings. Your profound understanding of the machine learning landscape and various methodologies—including LLMs, image models, reinforcement learning agents, recommendation systems, or classical machine learning techniques—will be crucial in shaping the future of ML at Jane Street. You will be instrumental in training models for our next-generation deep learning-driven trading strategies and establishing the foundational knowledge necessary to navigate new markets and scenarios. Additionally, you will play a key role in recruiting new team members, participating in conferences, and sharing your expertise with colleagues—all significant and valued aspects of your role. About You No prior experience in finance is required—many of our team members came from similar backgrounds. If you possess a curious mindset and a passion for tackling intriguing challenges, you will likely thrive here. While we do not seek a specific skill set, you should bring: Practical experience in addressing empirical machine learning challenges Strong logical and mathematical reasoning skills applicable to diverse problems A genuine intellectual curiosity and enthusiasm for cutting-edge research across various ML domains Proficiency in a diverse range of models and techniques Hands-on coding ability to swiftly implement and iterate on your concepts using Python and your preferred ML framework A willingness to ask questions, acknowledge mistakes, and embrace learning opportunities Fluency in English To delve deeper, feel free to explore our interview process and meet some of the team.
