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 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
   - Discretionary bonus eligibility    - Medical, dental, and vision insurance    - HSA, FSA, and Dependent Care options    - Employer Paid Group Term Life and AD&amp;D Insurance    - Voluntary Life &amp; AD&amp;D insurance    - Paid vacation plus paid holidays    - Retirement plan with employer match    - Paid parental leave    - Wellness Programs </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>

Quantitative Researcher | Trading Team

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>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 Cycle Schemes</li>
</ul>

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.
Other duties as assigned or needed.
Skills You’ll Need:
<ul>
<li>5+ years of experience in developing DL systems with measurable impact in industry and/or academia</li>
<li>Creative thinkers who are driven, self-motivated, and eager to solve challenging problems</li>
<li>Proficiency in Python and/or C++</li>
<li>Strong foundation in mathematics and statistics</li>
<li>Ability to thrive in a collaborative, team-oriented environment</li>
<li>PhD, or Master's degree in Computer Science, Mathematics, (or related subject)</li>
<li>Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent</li>
<li>Reliable and predictable availability</li>
<li>Excellent written and verbal communication skills in English</li>
</ul>
 <div><div><div>Benefits
   - Discretionary bonus eligibility    - Medical, dental, and vision insurance    - HSA, FSA, and Dependent Care options    - Employer Paid Group Term Life and AD&amp;D Insurance    - Voluntary Life &amp; AD&amp;D insurance    - Paid vacation plus paid holidays    - Retirement plan with employer match    - Paid parental leave    - Wellness Programs </div><div>Annual Base Salary Range </div><div>$200,000—$350,000 USD</div></div></div>

Research Scientist/Research Engineer | Deep Learning

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:
<ul>
<li>Creative thinkers who are driven, self-motivated, and eager to solve challenging problems</li>
<li>Proven success with profitable trading strategies</li>
<li>Strong programming skills in C++ 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>Excellent written and spoken English communication skills</li>
<li>Reliable and predicable availability </li>
</ul>
If you are currently a student or recent graduate, please see our Campus postings which offer both intern and full-time opportunities.

Jumptrading

Open jobs at Jumptrading

Business Intelligence Researcher

Quantitative Researcher | Trading Team

Quantitative Researcher | Trading Team

Research Scientist/Research Engineer | Deep Learning

Quantitative Researcher | Trading Team

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