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 looking for an experienced, detail-oriented Risk Associate to join our global team. This unique position is ideal for candidates with strong risk management skills, technical proficiency, and a readiness to contribute to the operational flow of global trading. You will be immersed in both risk management and post-trade operations, gaining broad exposure and playing a key part in the reliability and safety of our trading activity. 

This is a 4-day workweek role, with one weekend day (Saturday or Sunday) as part of your schedule. During onboarding and training, you’ll initially work a standard Monday–Friday week before transitioning to the 4-day schedule (Wednesday–Saturday or Sunday–Wednesday). Candidates must be comfortable with and prepared for this arrangement. Flexibility and reliability to support weekend trading are essential to success in this role. 

What You’ll Do: 

• Participate in daily and real-time risk monitoring across asset classes, helping to identify, assess, and address risk exposures related to trading activities 
• Use and develop your Python, SQL, and Excel skills to analyze large datasets, automate reporting, and support projects related to market risk (such as VaR, factor models, and portfolio analytics) 
• Work closely with trading, technology, treasury, clearing, and compliance teams around the globe. 
• Support daily clearing activities including trade reconciliation, resolving breaks, and ensuring smooth post-trade workflows across various products and venues 
• Suggest enhancements to workflows and documentation, actively build your expertise, and contribute to team projects focused on continuous improvement 
• Other duties as assigned or needed  

Skills You’ll Need: 

• 5+ years of relevant risk management, trading, or financial operations experience, ideally at a trading firm, hedge fund, asset manager, or investment bank 
• Hands-on familiarity with at least one major asset class (Equities, Treasuries, Futures, FX, or Options); willingness to expand your multi-asset risk expertise 
• Strong proficiency in Excel (using pivot tables, v-lookups, etc.); experience with Python (including libraries such as Pandas, NumPy, SciPy) and SQL is highly valued 
• Comfort with analyzing financial data (daily or intraday) and building tools for automation or reporting 
• Effective communicator, able to explain technical and financial concepts clearly to a variety of audiences 
• Self-motivated, proactive, and able to learn quickly on the job 
• Bachelor’s degree in a quantitative, technical, or business field 
• Reliable and predictable availability 

Bonus Points: 

• Experience with post-trade clearing systems or break resolution 
• Familiarity with risk modeling or analytics (such as VaR, factor models, or portfolio analysis) 
• Experience with Linux/Unix environments or in 24/7 trading operations 

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 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.

Jump Trading's Post Trade Analytics Team plays a crucial role in measuring and optimizing performance and trade execution across all global markets where the firm operates. This team is responsible for developing, operating, and maintaining performance measurement solutions, as well as conducting a wide range of post-trade analyses for various departments, including trading, business development, and other central teams. Daily, the team's core infrastructure collects, organizes, and stores billions of data points related to trading performance.

As a Data Scientist on the PTA team, you will conduct cutting-edge analyses on this extensive data to uncover competitive edges, answer complex business questions, and identify root causes of underperformance. This role offers a comprehensive view into Jump's business through the lens of data, along with the opportunity to develop both trading and technical expertise. Your work will significantly contribute to Jump's success by mining and enriching data to drive informed decisions and strategies. The ideal candidate will have the ability to work closely with and collaborate across trading and trading infrastructure teams. We are looking for an individual who is instinctively curious, self-driven, keen to dive into the complex trading world, and has demonstrated an ability to independently drive tasks and projects to completion in a team environment.

What You'll Do:

• Partner with trading teams to perform post trade analysis on trading performance, linking PnL metrics with latency and other infrastructure measurements
• Identify relationships between business metrics and changes in the infrastructure technology
• Conduct research for the purpose of modeling exchange performance
• Develop mathematical methodology to quantify the impact that specific internal applications have on general performance
• Design innovative alert detection algorithms to proactively detect new business opportunities, performance degradation or abnormal PnL-impacting events
• Participate in the building of new and innovative datasets
• Develop and improve quantitative research frameworks
• Other duties as needed

Skills You’ll Need:

• At least 5+ years of programming experience in Python with a data science and analytics focus
• Strong data intuition combined with a healthy skepticism for easy conclusions
• Excellent problem-solving abilities
• Experience in documenting and communicating analysis to both technical and business audiences, including members of the senior leadership team
• Background in statistics
• Experience with SQL is a plus.
• Practical experience with machine learning technics is a plus.
• Understanding of network protocols (IP, UDP, TCP, Ethernet) is a plus
• Reliable and predictable availability
• Shanghai based

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.

Jump Trading's Post Trade Analytics Team plays a crucial role in measuring and optimizing performance and trade execution across all global markets where the firm operates. This team is responsible for developing, operating, and maintaining performance measurement solutions, as well as conducting a wide range of post-trade analyses for various departments, including trading, business development, and other central teams. Daily, the team's core infrastructure collects, organizes, and stores billions of data points related to trading performance.

This role offers the opportunity to develop both business and technical expertise while significantly contributing to our global post trade analytics effort. We are seeking an experienced Data Engineer with 3+ years of experience to work closely with our Shanghai team, building and maintaining sophisticated datasets and data pipelines that will shape the way we trade.

What you’ll do:

• Build, operate, and maintain complex datasets and end-to-end dataset pipelines for analytics and research use cases.
• Partner directly with traders, quantitative researchers and data scientists to understand data requirements and deliver reliable data products in both real-time and next-day environments.
• Ensure data quality and reliability through validation frameworks, monitoring, alerting, lineage, and incident response.
• Optimize data processing and workflows for performance, cost, and robustness; troubleshoot pipeline failures and production issues.
• Maintain and improve associated internal tools, documentation, and operational runbooks.

Skills you’ll need:

• At least 3+ years’ experience as a Data Engineer
• Proficient in Python development, DevOps, and Linux environments.
• Proven expertise building and operating ETL/ELT pipelines (including orchestration, scheduling, and dependency management).
• Hands-on experience with relational and non-relational databases, including schema design and query optimization.
• Familiarity with SQL and data analytics tools and libraries, such as Pandas and NumPy.
• C++ experience is a plus.
• Strong analytical and problem-solving abilities.
• Other Duties as assigned and needed.
• Reliable and predictable availability.
• Shanghai based

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 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.

• Responsibility in supporting APAC inventory management related daily tasks
• Supporting life cycle of execution, risk management, tools enhancement and trade bookings
• Execution on stocks, equity futures, FX, synthetic products across brokers and using different tools  
• Develop and enhance desk models, pricing 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

• 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, Delta One Trading / Strats role covering major APAC markets
• Technically fluent using Python or other programming languages
• Solid understanding of financial markets and different asset classes
• Detailed oriented, and able to work under pressure.
• Ability to multitask, prioritize, and manage competing deadlines
• Strong analytical and problem-solving skills
• Self-motivated team player with strong interpersonal skill
• Excellent written and verbal communication; an ability to communicate both technical and business content
• Mandarin language skill 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.

Do you have a passion for trading? Fascinated by financial markets? Want to work on the front line of a world class trading firm? Want exposure to the best and brightest minds in the industry? Willing to be thrown into the deep end and see if you can swim?

We are looking for a passionate trader based in Shanghai to join Jump’s centralized trading team. This leads to extensive collaboration across many departments at Jump including, but not limited to, the trading teams themselves.  You will develop the skills to fine-tune algorithmic strategies on-the-fly, manage risk, and debug challenging infrastructure issues. If you are eager to enter the trading world, this is a golden opportunity for an experienced trader, who can leverage their skills into a role that will have a bottom-line impact on a global level.

What You'll Do:

• Manage trading strategies daily and provide an impact in terms of discretionary sizing and tweaking of parameters.
• Develop a granular understanding of trading strategies, interweaving alpha, execution, and technology.
• Provide analytical support to the trading community regarding the global markets and trading team performance.
• Serve as an advisor across several different departments, providing new and innovative solutions for the complex problems we face.
• Develop an extensive understanding of latency and its impact on strategy performance.
• Enhance our use of available internal data, all with the aim of increasing performance and remaining best-in-class as an organization.
• Other duties as assigned or needed.

Skills You'll Need:    

• Passion for trading and financial markets.
• Proven success working with automated trading systems at a proprietary electronic trading firm strongly desired.
• Global market knowledge is strongly desired.
• Strong understanding of market microstructure, as well as an understanding of wider macro factors driving markets.
• Ability to perform under pressure.
• Confidence, accountability, decisiveness.
• Inquisitive, self-starting personality coupled with the desire to be part of a highly functioning team environment.
• Exceptional verbal and written communication skills.

Bonus Points:

• Scripting language (e.g., Python or R)
• Networking nomenclature and architecture
• Shell scripting (ksh or bash)

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.

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.

What You'll Do:

• Design, implement, and optimize trading algorithms
• Collaborate closely with team members to brainstorm, experiment, and execute innovative trading strategies
• Perform comprehensive testing to ensure accuracy, stability, and minimize financial risk
• Continuously improve our trading platform's performance with a focus on resource efficiency and hardware optimization
• Foster a positive working environment and maintain strong relationships within the team
• Other duties as assigned or needed
  
  

Skills You’ll Need:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• At least 5+ years of experience in C++ development, with expertise in algorithmic trading systems
• Track record of developing, deploying, and maintaining market order execution algorithms
• People have designed/implemented large-scale big data processing/modeling systems on high-performance-computing-cluster etc. 
• Exceptional problem-solving skills and an analytical mindset
• Detail-oriented with a strong commitment to testing and quality assurance
• Excellent communication and interpersonal skills, with a humble and cooperative attitude
• Team player who values collaboration and shared success
• Reliable and predictable availability