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.

We’re expanding our successful global equity stat arb business with the build out of a new team of quantitative researchers focused on developing mixed-frequency (low/mid) strategies based out of Hong Kong. This team will leverage new and differentiated approaches to research and will be comprised with top talent across the fields of Quantitative Research, ML/LLM & Engineering.

What You'll Do: 

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in global financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas.

Skills You'll Need:

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems

• Proven experience developing successful quantitative trading strategies is highly preferred, though not required

• Demonstrable experience leveraging forecasting and machine learning techniques, such as linear regression analysis, neural networks or other state-of-the-arts models

• Bachelor, Masters or PhD in Computer Science, Statistics, Physics, Mathematics (or related subject)

• Strong programming skills in C++/python in a Linux environment 

• Desire to work within a collaborative, team-driven, fast-paced environment

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 incenting 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.

We’re expanding our successful global equity stat arb business with the build out of a new team of quantitative researchers and developers focused on developing mixed-frequency (low/mid) strategies based out of Hong Kong. As a quantitative developer, you will collaborate closely with the team’s researchers and engineers to architect, build, and maintain the team’s research infrastructure and production systems. You will work closely with the quantitative researchers on the team to create and improve research, develop and build out trading infrastructure, improve the scalability of the production systems while maintaining the production trading environment and troubleshooting problems, and developing software to automate and improve deployment, configuration, validation. As a new team, we’re looking for someone who enjoys open-ended problems and owning their solutions - you'll be a part of a cutting-edge team leveraging state-of-the-art technology and data, while working in a collaborative environment with opportunities for professional growth.

What you'll do:

• You'll contribute to one or more of the following projects:
  • Machine learning development: Build the team's proprietary end-to-end machine learning pipeline. Work extensively with quantitative researchers to understand requirements and constraints, implement proprietary ML features and algorithms, and continuously improve model design, tools, and infrastructure.
  • Microstructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features.
  • Portfolio optimization: Design a portfolio optimization system to support comprehensive portfolio management strategies.
  • Data Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades.

Skills You’ll Need:

• 5+ year track record of solving challenging problems through coding with real metrics & impact in industry and/or academia.
• Passion for building efficient, modular software to tackle challenging problems. Experience is a plus, but a strong desire to learn and grow is essential.
• Strong software development skills in Python and/or C++.
• Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
• Ability to reason through quantitative problems and communicate effectively with quantitative researchers.
• Reliable and predictable availability to ensure smooth operations of production systems.
• Over two years of experience working with industrial grade codebases using compiled languages such as C++ is advantageous.
• Familiarity with high-performance computing (HPC) and distributed large-scale model training is a plus.

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 incenting 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.

*Candidates for this off cycle internship should be graduating in 2026 or 2027 and be interested in working in Hong Kong for their full-time job after graduation. 

Who Should Apply? 

• We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).
• No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need.
• Machine Learning (ML) and Large Language Model expertise (LLM) is highly desired.
• Reliable and predictable availability required.
• Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more.

If you have outstanding skills in math, ML, and programming and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply.

Jump Trading established its dedication to the China market with the launch of our Shanghai office in late 2017 with the ambition of building an independently operational office. Due to this ambition, we are growing our competencies in Trading, Technology and Operations. We bring together the best of two worlds; A start-up environment powered by Global Jump Trading dedication and resources.

This position is part of software development in a trading team. As a Quantitative Developer, you will work on a core team of technologists that build and improve the platforms that drive the trading team. You will work closely with the quantitative researchers on the team to create and improve research, trading infrastructure, improve the scalability of the production systems, maintaining the production trading environment, troubleshooting problems, and developing software to automate and improve deployment, configuration, validation.

The team is looking for someone who will be passionate about development and demonstrates intellectual curiosity and an ability to solve difficult technical problems in a fast-paced and energetic environment.

What You'll Do:

• Full cycle development including researching and prod system, writing, testing & debugging code, deployment of finished code into the production environment and ensuring that all code is checked into the source code control system.
• Direct support of end users, trouble-shooting problems and upgrading applications
• Monitoring, troubleshooting, break/fix of production trading system
• Other duties as assigned or needed

Skills You’ll Need:

• Efficient in python, C++ and able to develop/maintain code for prod applications
• Strong analytical and problem solving skills
• Must be extremely detail-oriented
• Proven success working with large data sets
• Self-directed and comfortable taking ownership of projects and responsibilities.
• Reliable and predictable availability 

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.

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*Candidates should be interested in working in Asia for their full-time job after graduation.

*INTERNATIONAL STUDENTS are encouraged to apply. 
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Who Should Apply?

• We are seeking researchers 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.
• No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need.
  
• Other duties as assigned or needed.

Skills You'll Need: 

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems with a pragmatic outlook
• Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
• Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX
• Proficiency in Python and/or C++
• Ability to thrive in a collaborative, team-oriented environment
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
• Reliable and predictable availability required

If you have outstanding skills in math, ML, and programming, and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll 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 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 incenting 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.

*Candidates for this off cycle internship should be graduating in 2026 or 2027 and be interested in working in Hong Kong for their full-time job after graduation. 

• Building and improving high-performance data pipelines and processing systems
• Collaborating with quantitative researchers to develop tools that support research workflows
• Optimizing system performance through profiling, debugging, and architectural improvements
• Building shared tools and infrastructure that power research efficiency and shorten iteration cycles
• Bridging the gap between research prototypes and production-grade systems

• Solid foundation in C++ and Python programming
• Solid understanding of computer science fundamentals: data structures, algorithms, memory management, operating systems, compilers, computer architecture, and networking
• Interest in systems programming and understanding how software interacts with hardware (OS internals, process scheduling, I/O, caching)
• Comfortable working in a Linux environment
• Passion for writing clean, efficient, and maintainable code; comfortable contributing to collaborative codebases
• Ability to translate research requirements into robust software solutions
• Strong learning ability and intellectual curiosity
• Good communication skills with users and other stakeholders
• Reliable and predictable availability
• No finance or economics study or work experience required
• Other duties as assigned or needed

• Curiosity for data-driven approaches and ability to work with large-scale data from first principles, not just relying on libraries
• Experience with performance optimization or low-latency systems
• Familiarity with HPC or distributed computing
• Exposure to data analysis tools (Pandas, NumPy) or statistical methods
• Past internship or job experience in a software development role

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 incenting 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.

The Global Treasury Team is looking to expand the Portfolio Finance function. In this role, you will play an important part in managing the daily financing of the firm and assist in helping develop the next iteration of Treasury within Jump. You will also interact with both the EMEA and US team – and will interact with all levels of various departments throughout the global organization.

What You'll Do:

• Responsibility in supporting APAC inventory management related daily tasks
• Handle full life cycle of firm’s stock borrowing process including but not limited to execution and daily operations
• Follow borrow market, identify the trading opportunities and secure hard-to-borrow and event names
• Develop and enhance desk models, tools and operational workflows to increase efficiency and reduce manual errors
• Partner closely with Risk, Clearing and other trading teams and functions in supporting daily trading activities
• Assist in the identification and development of new procedures, countries of coverage and automation of processes
• Regional assistance for APAC portfolio finance request and projects
• Other duties as assigned or needed

Skills You’ll Need:

• Minimum academic level of bachelor’s degree in STEM, Accounting, Finance, Computer Science, or related areas
• At least 3 - 5 years of experience on the buy or sell side Portfolio Finance, SBL Trading / Repo / Strats role covering major APAC markets
• Technically fluent using Python or other programming languages
• Detailed oriented, and able to work under pressure. Ability to multitask, prioritize, and manage competing deadlines
• Self-motivated team player with strong interpersonal skills
• Reliable and predictable availability 

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 incenting 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.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You’ll Do: 

We are seeking research scientists with a demonstrated ability to apply deep 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.

Skills You’ll Need:

• At least 5+ years of experience in developing DL systems with measurable impact in industry and/or academia.
• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems.
• Proficiency in Python and/or C++.
• Strong foundation in mathematics and statistics.
• Ability to thrive in a collaborative, team-oriented environment.
• PhD, or Master's degree in Computer Science, Mathematics, (or related subject).
• Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent.
• Reliable and predictable availability.
• Excellent written and verbal communication skills in English.