Quantitative 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.

Jump Operations, LLC seeks Quantitative Researcher II at its facility located at 600 W. Chicago Ave., Ste. 600, Chicago, IL 60654. (Multiple openings) Involved in research projects associated with latency prediction and algorithmic improvement based on requirements provided by our internal trading teams. Determine efficient methods to store and analyze very large amounts of data and develop tools to evaluate of the large volume of market data to help improve trading strategies performance. Involved in investigating and designing data mining and machine learning algorithms and recommending solutions to problems. Conduct research for the purpose of modeling and forecasting future price actions and volatility. Build and expand the current revenue base by developing and exploring new opportunities. Execute and implement quantitative investment strategies. Responsible for developing and supporting a scalable quantitative research framework using Python, C++, and other software systems. Conduct research new methods for capturing risk exposure, evaluating risk/reward and performance attribution across multiple asset classes. Participate in all phases of the software development process for computerized trading applications/models, including requirements analysis, specification generation, application design, software coding and optimization. Design and develop applications based on the business requirements for algorithmic trading. Design, develop and implement high-performance trading applications, ranging from front-end applications to black box systems. Build and enhance market prediction models for portfolios utilizing quantitative problem solving and advanced statistical techniques. Analyze data, creating and evaluating trading strategies. 

Requirements: This position requires a PhD or foreign equivalent in Statistics, Finance, Financial Mathematics, Physics, or related quantitative field, plus 1 year of experience in a statistical analysis related role.  Alternatively, Employer will accept a Master’s or foreign equivalent degree in Statistics, Finance, Financial Mathematics, Physics, or related quantitative field, plus 4 years of experience in a statistical analysis related role.

Additionally, the applicant must have experience with:

• Data mining
• Machine learning and deep learning [natural language processing]
• Python
• C++ in a Linux environment
• Model building skills
• R Programming
• Computer simulation, like Monte Carlo algorithm, Lattice QCD algorithm. 

Will accept any suitable combination of education, training, or experience.

 

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Benefits

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

Annual Base Salary Range $150,000—$200,000 USD