Jumptrading

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.
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 and hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs. ------------------------------- *Candidates should be interested in working in one of our APAC offices for their full-time job after graduation. -------------------------------
About the Role:
Our APAC Python team sits at the intersection of trading and technology — we build data pipelines, post-trade infrastructure, analytics platforms, and middle-office systems that the business relies on every day. You'll work on problems that matter, ship code that runs in production, and collaborate directly with trading desks, operations, and research teams across the firm.
Responsibilities:
Python is our primary language and it touches everything we do. The scope is wide:
<ul>
<li>Data pipelines — Develop and maintain ETL pipelines that source, normalize, and deliver vendor data, tick/bar data, and trading data firm-wide. Ensure data integrity across millions of records daily using Python, Kafka, MySQL, and ClickHouse</li>
<li>Business-specific infrastructure — Build the trading platforms that support the firm's expansion into new businesses and markets. Deliver solutions that enable strategic initiatives and make trading more efficient and intelligent</li>
<li>Post-trade analytics — Partner with business teams to perform statistical analysis on trading performance. Build anomaly detection systems, model exchange behavior, and quantify the impact of infrastructure changes on trading outcomes</li>
<li>Post-trade systems — Build and operate the infrastructure that processes every trade after execution: clearing, reconciliation, fee computation, position management, and PnL. Parse broker files from clearing houses worldwide, enrich trades with reference data, and compute fees across dozens of global markets and asset classes. We are actively migrating core components to Rust for performance and reliability</li>
<li>Production ownership — Debug real incidents, trace data through the full pipeline, and fix root causes. You build it, you run it, you own it</li>
</ul>
Profile:
<ul>
<li>You write clean, production-quality code and take pride in the craft — not just making it work, but making it right</li>
<li>You're rigorous with data — you dig into large datasets to resolve complex issues, and you don't trust easy conclusions</li>
<li>You are self-driven and proactive, with a natural instinct to take ownership and push through ambiguity</li>
<li>You collaborate well across teams — trading, operations, finance, and engineering all depend on what we build</li>
<li>You thrive in a fast-paced trading environment where priorities shift and projects need to move quickly</li>
<li>You are genuinely curious about how things work under the hood — systems, markets, data flows — and you go deeper than the surface</li>
<li>You use AI tools (Claude, ChatGPT, etc) to move faster — and you have the judgment to know when to trust the output and when to question it </li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree in Computer Science, Computer Engineering, or a related field</li>
<li>Proficient in Python with hands-on experience building and maintaining production systems</li>
<li>Comfortable working on Linux — command line, debugging, and bare-metal environments</li>
<li>Strong fundamentals in data structures, algorithms, and system design</li>
<li>Solid debugging skills and the ability to navigate unfamiliar codebases quickly</li>
</ul>
Bonus/Good to Have:
<ul>
<li>Experience with Kafka, or data pipeline tooling</li>
<li>Background in statistics or data analysis</li>
<li>Experience with Rust or C++</li>
<li>Competitive programming background</li>
<li>No finance or economics experience required — we'll teach you the domain</li>
</ul>

Campus Python Software Engineer (Intern)

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.
About the Role: 
We build predictive models from massive datasets and develop algorithms to automatically execute trades in financial exchanges around the world. 
At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.
You will start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as trading / market mechanics, statistics, python, C++, machine learning, and our research process.
You will then work alongside our trading teams to leverage our world-class compute environment to build predictive models and devise automated trading strategies across global markets.
Other duties as assigned or needed.
Who Should Apply?
We are seeking the sharpest analytical minds from top the 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 will give you the training that you need. 
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, Operations Research, Neuroscience, Materials Science, and more.
If you have outstanding skills in math and programming and you are curious about the challenge of improving research with continuous feedback from competitive markets, we hope you’ll apply.  
Reliable and predictable availability required. 
INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
The estimated base salary for this role is $300,000 per year.
<hr />
Benefits include:
<ul>
<li>Private Medical, Vision and Dental Insurance</li>
<li>Travel Medical Insurance</li>
<li>Group Pension Scheme</li>
<li>Group Life Assurance and Income Protection Schemes</li>
<li>Paid Parental Leave</li>
<li>Parking and Commuter Benefits</li>
</ul>

Campus Quantitative Researcher, PhD (Full-Time)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
------------------------------- *Candidates should be interested in working in Singapore for their full-time job after graduation.
*Timing of application consideration and interviews will vary to accommodate university timelines. -------------------------------
About the Role:
The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it’s like to be a full-time quant trader at Jump.
At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. During our internship you will get training in all of these areas, with a focus in trading and financial markets. Topics include trading strategies and intuition, market mechanics, statistics, and our research process for signal generation.
You will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant traders, researchers, and developers. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset.
Other duties as assigned or needed.
Who Should Apply?
We are seeking the sharpest analytical minds from top undergraduate and graduate programs. 
Ideal candidates will have:
<ul>
<li>Outstanding skills in probabilistic thinking and mathematical reasoning</li>
<li>Competitive spirit and uncommon drive to learn and improve</li>
<li>Programming experience</li>
<li>Appetite for risk-taking</li>
<li>Demonstrated interest in financial markets</li>
</ul>
Reliable and predictable availability required.

Campus Quantitative Trader (Intern)

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 Business Intelligence team is focused on empowering the firm with analysis and insight that maximizes revenue and influences high-stakes global decision making. This team develops data pipelines, supports an enterprise BI analytics platform, and provides research across many areas of the organization. At Jump, 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.
As a Business Intelligence Researcher in New York, you will have the hands-on opportunity to work with all areas of the organization while gaining a keen understanding of the use of data across the firm.
We're looking for talented data scientists and researchers who are relentlessly curious and have a gift for connecting the dots across data sources, systems, teams, and ideas. Top talent shows up in more than one shape -- you might thrive by embedding deeply within a specific area to become its go-to expert, or as a well-rounded generalist who opportunistically dives into high-impact problems across the business. We value both paths and will help you find the one that fits your strengths.
What You'll Do:
<ul>
<li>Lead and contribute to efforts that surface meaningful business intelligence insights</li>
<li>Partner with Developers, Researchers, and Data Analysts to solve challenging problems, whether by going deep in a single domain or spanning many</li>
<li>Follow threads of information across teams and systems, connecting disparate inputs into coherent insights and actionable recommendations</li>
<li>Work with technology teams on process design, workflow, data management, etc.</li>
<li>Liaise with research and trading teams on topics including post-trade statistical analysis of trading performance</li>
<li>Broadcast key insights globally to connect the company across regions</li>
<li>Produce research that educates and influences exchange decision making on market structure, product availability, and more</li>
<li>Other duties as assigned or needed</li>
</ul>
Skills You’ll Need:
<ul>
<li>Relentless curiosity, an instinct to ask thoughtful questions, dig beneath the surface, and keep learning</li>
<li>Strong analytical skills, with the ability to link details across different data sources, processes, and departments to broader business impact</li>
<li>Deep interest in and passion for trading and global markets</li>
<li>Ability to communicate clearly across technical and non-technical audiences, translating in both directions</li>
<li>Self-starter, scrappy, and creative, with good instincts and a nose for making money</li>
<li>Comfort navigating ambiguity and shifting priorities</li>
<li>Ability to quickly learn business concepts, internalize priorities, and network effectively with peers</li>
<li>Engineering experience working with programming languages for automation tasks (Python, etc.)</li>
<li>Practical understanding of database concepts and ETL pipelining</li>
<li>Experience with data analysis, SQL, Linux</li>
<li>Reliable and predictable availability</li>
</ul>
 
 <div><div><div>Benefits
<ul>
<li>Discretionary bonus eligibility </li>
<li>Medical, dental, and vision insurance</li>
<li>HSA, FSA, and Dependent Care options</li>
<li>Employer Paid Group Term Life and AD&amp;D Insurance</li>
<li>Voluntary Life &amp; AD&amp;D insurance</li>
<li>Paid vacation plus paid holidays</li>
<li>Retirement plan with employer match</li>
<li>Paid parental leave</li>
<li>Wellness Programs </li>
</ul></div><div>Annual Base Salary Range </div><div>$175,000—$200,000 USD</div></div></div>

Business Intelligence Researcher

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 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. Other duties as assigned or needed.
Skills You’ll Need:
<ul>
<li>Proven success with profitable trading strategies</li>
<li>Strong programming skills in C++/Python in a Linux environment</li>
<li>Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines</li>
<li>Strong experience developing statistical models in a trading environment</li>
<li>Proven success working with large data sets and developing statistical models</li>
<li>Fascinated and interested in advancing machine learning within the trading community</li>
<li>Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts</li>
<li>Masters or PhD in Statistics, Physics, Mathematics (or related subject)</li>
<li>Desire to work within a collaborative, team-driven environment</li>
<li>Reliable and predictable availability</li>
</ul>
<hr />
Benefits include:
<ul>
<li>Travel Medical Insurance</li>
<li>Group Pension Scheme</li>
<li>Group Life Assurance and Income Protection Schemes</li>
<li>Paid Parental Leave</li>
<li>Commuter Benefits</li>
</ul>

Jumptrading

Open jobs at Jumptrading

Campus Python Software Engineer (Intern)

Campus Quantitative Researcher, PhD (Full-Time)

Campus Quantitative Trader (Intern)

Business Intelligence Researcher

Quantitative Researcher | Trading Team

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