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 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 AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data.

What You’ll Do: 

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third.

Other duties as assigned or needed.

Skills You’ll Need:

• 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia
• Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)
• Solid development skills in Python and/or C++
• Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Reliable and predictable availability

Bonus Points

• Experience with HPC and distributed large model training
• Experience with GPU performance optimization (CUDA or ROCm)
• Experience with end-to-end model development, especially in LLMs
• Prior academic publications and/or contributions to open-source AI research
• Strong opinions on best practices in ML research, tooling, and/or infrastructure

Jump Crypto is committed to building and standing up critical infrastructure needed to catalyze the growth of the crypto ecosystem. We're builders, partners, and traders who take a long-term view of crypto's prospects and operate to unlock the full potential of open, community-driven networks. Since our inception as a skunkworks intern project in late 2015, we've grown into a dynamic and seasoned team of high performing players across a range of functions. Today, we play an important role in the development of some of the largest and most innovative crypto communities.

Jump Crypto is the crypto division of Jump Trading Group, a research driven quantitative trading firm that's one of the largest traders by volume across traditional asset classes.  For more on our history, culture and the road ahead read our blog here. To learn more, please visit us at www.jumpcrypto.com and follow us at @JumpCryptoHQ.

As a Trader, you have an opportunity to join a dynamic group of people focused on researching, interpreting and capitalizing on the global trading markets. The ideal candidate for this position will be interested in learning how they can apply their skills in a quantitative trading environment. You should have a can-do attitude around supporting the team in a variety of ways and be motivated by this chance to learn and work alongside a team of experienced traders and technologists. As a trader you will be working 4 days a week (Sun-Wed OR Wed-Sat) alongside others trading this 24/7 asset class.

What You’ll Do:

• Familiarity and interest in all lines of the business (outside trading); willingness to understand business priorities and to adapt.
• Execution of trading strategies.
• Monitor trading positions and work with clearing and operations team to reconcile trades and position breaks throughout the shift.
• Build and maintain DevOps toolkit for the production trading system including configuration management, process management, deployment, monitoring, data collection, and analysis.
• Troubleshooting production trading issues, improving trading desk processes.
• Proficiency in (or ability to learn about) quant trading efforts, exchange trading setups, and any trading-related areas.
• Should own and take responsibility for team-wide projects beyond day-to-day trading coverage.
• Other duties as assigned or needed.

Skills You’ll Need:

• Interest in cryptocurrencies and an understanding of the various currencies, exchanges, etc. is preferred.
• Comfortable with Python and the ability to write and understand simple to moderate scripts.
• Familiarity with a Linux environment.
• Ability to successfully manage multiple tasks in a fast-paced environment.
• Excellent English communication skills, both written and oral.
• Demonstrated ability to exercise discretion in making decisions.
• Aptitude and preference for working in a highly collaborative environment.
• At least 3+ years trading experience.
• 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. 

At Jump Trading, solving hard problems with cutting edge technology is our business. Jump relies heavily on open source solutions in our large and distributed global infrastructure that includes several large high performance computing environments, a large low latency trading infrastructure and significant supporting infrastructure. We are looking for a Database Engineer to add to our Singapore offices.

At Jump, database engineers "own" many parts of the stack, including embedding with trading and other teams.The ideal candidate will be passionate about open source database technology, with experience in more than one (for example MySQL, PostgreSQL, ClickHouse, Prometheus, Kafka, …).

The candidate will have a good ability to automate (using a language such as Python or Go) and understand the full database system when deployed on Linux. Experience managing ETL pipelines and managing petabyte scale data warehouses is valuable, but not mandatory.

What you’ll do:

• Work on and lead major projects involving a mix of database technology.
• Some example projects in flight are listed above. In general these projects span database engineering (e.g. deploying, scaling or managing database infrastructure) and working with other teams to solve business problems (for example schema design, data architecture planning, technology selection)
• Be part of a global “on-call” schedule for database technology.
• Develop automation to minimize operational toil, in accordance with SRE principles.

Skills you’ll need:

• Significant engineering experience working with open source database, solving challenging business problems with cutting edge technology.
• Comfort using a programming language for automation tasks (Python, Go, etc.)
• Comfort using the Linux shell to understand and troubleshoot an overall system
• Proficiency with SQL

Bonus Points:

• Experience working on petabyte scale data warehouses and distributed database systems
• Industry experience in finance/trading, particularly supporting post-trade processing systems
• Python, pandas, etc.
• DevOps / SRE mindset
• Kafka experience
• Database Replication
• ETL pipeline experience
• Jenkins
• Knowledge of Splunk
• Proficiency with AI coding tools

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.

-------------------------------
*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 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. We are looking for a Quantamental Research Analyst with a passion for financial markets and a solid understanding on company fundamentals, who possesses a quantitative mindset to join our team in Singapore.

What You'll Do:

• Collaborate with quantitative traders globally in performing in depth research on ETF pricing and trading strategy
• Analyze the fundamental implications of corporate actions and special situations; determine fair value and generate trade ideas
• Improve dividend predictions and analyze their impact on equity indices and futures.
• Work with equity quants to study internal and external datasets, understand their relationships with asset prices, and develop prediction models or actionable use cases
• Work with quantitative developers to productionize, automate, and scale research and trading processes
• Be on top of macroeconomic events and market news in identifying the potential trading opportunities that is hard to capture through our automated strategies
• Other duties as assigned or needed

Skills You’ll Need:

• Bachelor’s in Finance, Economics, Mathematics, or a related quantitative field
• 3–6 years in buy/sell-side research, prop trading, ETF/index research, or corporate actions analysis
• High attention to details and apply to identify information that market might have missed
• Have the quantitative mindset to develop a systematic approach to address problems
• Good understanding of company fundamentals and financial ratios
• Comfortable to deal with large datasets using Python
• 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.

Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

About the Role:

Our Software Engineer internship is an intensive 10-week experience at Jump Trading's Sydney (or Singapore) office. You will be working with the team that helps the business make sense of data. You will get to sharpen your Python skills, through the mentorship provided by our Software Engineers, by researching, analyzing and building high-impact solutions and products that connect data better with the daily trading environment. At Jump, you will experience a healthy work-life balance, a casual environment, and a flat management structure. Our internship program is the primary way we identify top young talent, and it’s a proven path for earning full-time opportunities at Jump.

What you’ll do:

• You will be working with our experienced engineers and receive ongoing feedback and coaching from a dedicated mentor throughout the summer.
• You will use your Python programming skills to build high-impact products, helping Jump tackle exciting new initiatives and streamline every part of the trade cycle.
• You will also be part of the team that collects and analyzes datasets, to identify patterns and gain insights, to discover new and creative opportunities and solutions.
• You will take on projects working on production code and gain experience with our full-cycle process for development, testing, and release.
• Other duties as assigned or needed

Skills You’ll need:

• Strong academic foundation with a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a closely-related field
• Experience in using Python programming to investigate, make sense of, and improve on open-ended scenarios.
• Exposure to tools such as Pandas, NumPy, PyCharm
• Experience working with Linux/UNIX OS including advanced commands and shell scripts
• Understanding of networking concepts such as routing, multicast, ethernet
• Curiosity for all things trading and computer related, taking a rigorous, detail-oriented approach in all that you do.
• Desire to make an impact in a collaborative, cross-team environment with a positive can-do attitude
• Ability to operate independently and communicate clearly in the fast-paced environment of a daily live-trading operation
• Reliable and predictable availability

Also helpful, but not required:

• Past internship or job experience in a software engineering role

* No finance or economics study or work experience required

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems.

The global security team is a team of technologists that develop and contribute across the full security stack. You will be (or will become) a "T-shaped" individual with enormous potential to further your career in the security domain. The ideal candidate will be passionate about security operations and automation, with experience in more than one (Network security, cloud security, application security). The candidate will have a good ability to automate (using a language such as Python or Go) and understand risk-based approach to security.

What You'll Do:

- Automate processes and procedures to create a highly resilient security infrastructure.

- Implement and make recommendations based on threat assessments at the network, server, and endpoint levels.

- Involved in Threat, Vulnerability Management and Attack Surface reduction exercises.

- Assist in performing investigations of anomalous activity and creating actionable reports to senior management.

- Analyze data sets and produce reports using basic tools (e.g. SQL, Python, Pandas).

- Work highly independently, with multiple stakeholders outside of the formal management structure.

- Other duties as assigned or needed.

Skills You’ll Need:

- Comfort using a programming language for automation tasks (Python, Go, etc).

- Comfort using the Linux shell to understand and troubleshoot an overall system.

- Familiarity troubleshooting network issues in the stack.

- Understand DNS, SSL/ TLS, and how traffic on IP networks establishes end-to-end security and trust.

- Understand principles around secure Identity Management and Authentication.

- Passionate about high-quality of work and continuous improvement.

- Reliable and predictable availability.

Useful (but certainly not mandatory) skills:

- Relevant and well-regarded certifications in cloud computing such as CKA (Certified Kubernetes Administrator), AWS Professional or          Specialty levels, Google Professional level.

- Advanced security accreditation such as CISSP, OSCP, CASP, Security+.

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 

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:

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in 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. Includes other duties as assigned or needed.

Skills You'll Need:

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Proven success with profitable trading strategies
• Strong programming skills in C++ in a Linux environment
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
• Strong experience developing statistical models in a trading environment
• Proven success working with large data sets and developing statistical models
• Fascinated and interested in advancing machine learning within the trading community
• Possess strong familiarity with Python, R or Matlab along with development skills to support research efforts
• Masters or PhD in Statistics, Physics, Mathematics (or related subject)
• Desire to work within a collaborative, team-driven environment
• Excellent written and spoken English communication skills
• Reliable and predicable availability 

If you are currently a student or recent graduate, please see our Campus postings which offer both intern and full-time opportunities.